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Parents should think carefully before sharing their children’s photos publicly. AI tools can turn ordinary pictures into fake sexual images without the child’s or parents’ permission. Even a photo taken at a birthday party, on a beach or at school can be copied and misused. 

UK authorities have warned about the dangers of publicly sharing children’s photos, including the risk that these images could be used to create AI-generated sexual abuse material. The risk is not sharing family memories but losing control over how those photos are used. Once an image spreads online, removing every copy can be difficult.

Parents can reduce these risks by keeping accounts private, avoiding personal details and asking relatives not to share children’s photos without permission. Children should also have a say in how their pictures are shared as they grow older.

However, parents cannot tackle this problem alone. Social media platforms must remove abusive images quickly, and AI companies must strengthen safeguards against image abuse.

Parents should not have to choose between sharing family memories and protecting their children’s privacy. Technology companies must help prevent abuse and hold those responsible accountable.

AI Tools Make It Easier to Misuse Children’s Photos

Creating realistic fake images once required advanced editing skills and hours of work. Today, AI tools have made the process much easier, allowing people to alter photographs with little effort.

Some AI tools can change a person’s appearance or clothing to create fake nude images. When these tools are used to target children, the results can cause serious emotional distress for both the child and their family.

The original photo does not have to be revealing. A simple picture taken at a birthday party, on a beach or during a school event can be copied and manipulated without the child’s or parents’ consent.

This is why parents need to be careful about sharing their children’s photos publicly. A picture posted to share a happy family moment can be saved, altered and circulated online without their knowledge or permission.

This does not mean every photo shared online will be misused. However, AI has created new ways for people to exploit children’s images. Parents may have little control over what happens to a photo once it becomes publicly accessible.

Publicly Shared Photos of Children Can Lead to Risks Beyond Social Media

Many parents share their children’s photos online to keep family and friends updated on their lives. However, when a social media account is public, those pictures may reach people the parents never intended to share them with.

Anyone who can view a public photo may be able to download it, take a screenshot or share it on another platform. Once an image spreads beyond its original audience, tracking where it appears or who has saved it can become difficult.

AI tools make this problem more concerning. People may be able to misuse a child’s publicly available photo without accessing their private social media account or knowing anything about the family. An ordinary picture can be copied and altered without the child or parents ever knowing.

Parents should not be blamed for someone else’s decision to misuse a child’s photo. The responsibility lies with the person who creates or shares abusive content. However, limiting who can view children’s photos online can help reduce the risk of misuse.

Parents should also think about their children’s long-term digital privacy. A photo shared today could remain online for years, even after the child grows up. Being careful about what they post publicly can help families protect their children’s privacy and reduce the chances of their images being used in ways they never intended.

AI-Generated Child Abuse Images Prompt New Warning for Parents

Internet Watch Foundation (IWF) and National Crime Agency (NCA) have issued new guidance urging parents and carers to be careful about sharing children’s photos online. The organisations warn that ordinary family pictures can be stolen and manipulated to create AI-generated sexual images.

The scale of the problem is growing. The IWF identified 3,443 AI-generated child sexual abuse videos in 2025, compared with just 13 in 2024. In response, the organisations are encouraging parents to check their social media privacy settings, limit who can view their children’s photos and discuss image-sharing consent with relatives, schools and clubs.

The guidance also advises parents to talk to children about AI-generated nude images and online safety. If a child’s photo is misused, parents should reassure them that they are not at fault and report the incident to the police or the relevant child-protection authorities.

ALSO READ: AI Porn Statistics (2025-2030): Key Data, Trends & Facts

Parents Should Not Ignore Children’s Consent When Sharing Photos Online

One important issue in the debate over sharing children’s photos online is consent. Parents may decide what to post on social media, but their children may not always agree with those choices.

Young children may not understand the long-term effects of having their pictures shared online. Older children may also feel embarrassed or uncomfortable when parents post photos they would prefer to keep private.

As children grow older, parents should give them more control over their digital identity. Asking before posting a photo, respecting their wishes and avoiding embarrassing pictures are simple steps that can help protect their privacy.

This matters even beyond the risk of AI-generated abuse. Children have a right to privacy and should have a say in how their personal information and images are shared online.

A photograph that parents see as a sweet family memory may feel very different to the child in it. The situation can become even more uncomfortable if the image spreads beyond family and friends or is later used to mock or embarrass them.

The growing risk of AI-generated sexual images makes this issue more urgent. Protecting children’s digital identity should begin with respecting their privacy, not waiting until their photos are misused. Parents should remember that managing a child’s social media presence does not mean they should have complete control over the child’s online identity without considering their wishes.

Should Parents Stop Sharing Their Children’s Photos Online?

Parents do not necessarily need to stop sharing their children’s photos altogether. Social media allows families to stay connected, especially when relatives live in different cities or countries. However, parents need to think carefully about what they post and who can see it.

A sensible approach is to limit children’s exposure online rather than ban every photograph. Parents can start by making their social media accounts private and checking who has access to their posts. They should avoid sharing children’s photos publicly unless there is a good reason to do so.

The information shared alongside a photo also matters. A child’s full name, school uniform, school name, daily routine or exact location can reveal personal details to strangers. Leaving out this information can help protect a child’s privacy.

Parents should also think twice before posting photos of children in swimwear or other vulnerable situations. Even when a picture is completely innocent, it could be copied or misused. Embarrassing photos also deserve careful consideration, as children may feel uncomfortable about them being online when they grow older.

Making an account private cannot guarantee complete protection. Followers can still take screenshots, save images or share them with others. However, limiting access to children’s photos can reduce the number of people who can view them in the first place.

Schools, sports clubs and other organisations also have a responsibility to protect children’s images. They should clearly explain where photographs will be published, who will be able to view them and how they will be stored. Parents should know whether a photo will appear in a private group, on a school website or on a public social media account before giving their permission.

Ultimately, protecting children’s photos online is about making informed choices, not giving up family memories. Parents can still share special moments while taking steps to protect their children’s privacy and reduce the risk of their images being misused.

Social Media Platforms Must Act Against AI Abuse of Children’s Photos

Parents cannot stop AI abuse of children’s photos on their own. Social media platforms and AI companies must take responsibility for preventing the creation and spread of abusive images.

Social media platforms should make privacy settings easy to use and respond quickly to reports of AI-generated sexual images, fake profiles and the unauthorised sharing of children’s photos.

AI companies must build safeguards into their tools to prevent users from creating sexual images of children. They should also take steps to stop users from bypassing these protections.

Reporting abusive images should be simple. Parents and children need clear ways to report content, request its removal and get help. Platforms should not make them go through lengthy or confusing procedures.

Removing an image becomes harder once it spreads across multiple websites. Deleting it from one platform does not remove every copy. Companies must respond quickly to reports and work together to limit further distribution.

Law enforcement agencies also need the resources and technical skills to investigate AI-generated child sexual abuse material and identify those responsible.

Parents cannot protect children from AI abuse through privacy settings alone. Technology companies must prevent the misuse of their tools, remove abusive content quickly and help authorities investigate those responsible.

ALSO READ: Meta Says Its AI Caught 97% of Child Exploitation Content Before User Reports

Parents Need Awareness of AI Abuse Without Living in Fear

Warnings about AI-generated sexual images of children can make parents afraid to share any family photos online. However, the goal should be to help parents understand the risks and make safer choices, not make them fear every photograph they post.

Parents can start by making their social media accounts private, limiting personal information in posts and asking relatives not to share their children’s photos without permission. They should also teach older children about online privacy and explain what to do if someone misuses their pictures.

If a child’s photo is used to create a fake sexual image, parents should reassure the child that they are not to blame. They should report the image to the platform and contact the relevant child-protection authorities or law enforcement. They should not forward or repost the image, as this could spread the abuse further.

The responsibility for AI-generated sexual abuse lies with the person who creates or shares the image, not the child whose photo was misused. Parents can take steps to protect their children’s privacy, but they should never feel that they are responsible for someone else’s abusive actions.

AI tools that can edit photos and create realistic images are raising new concerns about online abuse. Some of these tools can be misused to create explicit deepfakes of real people without their consent.

A report by WIRED has raised concerns about popular AI image-editing models. These models are available on Hugging Face, a platform where developers can share and download AI models. Researchers found that some of these models could be used to create explicit deepfakes with relative ease.

This raises concerns about AI safety and the responsibility of platforms that make these tools available. Hugging Face supports open-source AI development, but its models can also be downloaded, modified and used outside the platform’s control.

The problem is not AI image editing itself. It is the risk of using these tools to create fake sexual images of real people without their permission. Such images can lead to harassment, blackmail and public humiliation, raising questions about whether AI platforms are doing enough to prevent this kind of abuse.

How Hugging Face AI Models Are Being Used to Create Fake Nude Images

AI image-editing models can change existing photos based on text prompts or other instructions. Depending on the model, users can alter a person’s appearance, change their clothing or add details that were not in the original image.

However, these tools can also be misused to create fake nude images and explicit deepfakes of real people without their consent. A WIRED investigation found that 7 of the 9 Hugging Face image-editing Spaces tested could turn a photo of a clothed woman into a topless image.

The investigation also examined more than 1,000 prompts submitted to these tools. Around 73% of the prompts were sexual in nature. Of those sexual requests, 83% aimed to undress or sexualise someone in an uploaded photograph. Women accounted for 95% of the people targeted, while 6.7% of the sexual prompts targeted people who appeared to be children.

These findings raise concerns about the safety measures used in publicly available AI image-editing tools. When models have weak safeguards, users may be able to create manipulated images without advanced editing skills. Downloadable models can also be modified and run outside the original platform, making it harder to control how they are used.

This does not mean every image-editing model on Hugging Face can generate explicit deepfakes. Models have different capabilities and safety measures. However, the investigation highlights the need for stronger testing before high-risk tools become widely available.

The harm can continue long after an image is created. Victims may face online harassment, threats, blackmail and damage to their reputation. Removing images can also be difficult once they have been copied and shared across multiple websites. This shows why AI platforms need stronger safeguards to prevent nonconsensual sexual images from being created and spread.

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Nonconsensual Deepfakes Are a Serious Form of Online Abuse

Creating explicit deepfakes of someone without their permission should be treated as a serious form of online abuse. A person does not need to share an intimate photo for someone to create a fake nude image of them. In some cases, a simple photograph from a public social media profile can be misused.

The image may be fake, but the damage is real. Victims can face harassment, blackmail, threats and public humiliation. Women and girls are particularly vulnerable to this form of abuse, which can affect their safety, privacy and reputation.

Children face even greater risks. AI-generated sexual images of minors raise serious child safety concerns, even when the images are fabricated. Platforms must take stronger steps to prevent their tools from being used to create such material and respond quickly when abuse is reported.

AI image editing can have legitimate uses, but those uses should not come at the expense of someone’s consent. Technology companies must draw a clear line between creative editing and the creation of explicit images of real people without their permission. Stronger safeguards, clear reporting systems and faster removal of abusive content should be essential parts of that effort.

Hugging Face Needs Stronger Safeguards Against AI Deepfake Abuse

Hugging Face makes it easier for developers and researchers to share AI models and build new tools. This open approach supports innovation, but it also raises safety concerns when models can be misused to create explicit deepfakes of real people.

Hugging Face and model developers should take stronger steps to prevent this type of abuse. High-risk image models should be tested to see whether they can generate nonconsensual sexual images, rather than relying only on the safety claims in their documentation.

Developers should also add effective safeguards to prevent the misuse of real people’s photos, especially images of children. Model pages should clearly explain known risks, safety limits and the steps taken to reduce potential harm.

Hugging Face should also provide a clear reporting process for models that enable sexual abuse. Reports should be reviewed quickly, with appropriate action taken when a model violates platform rules or presents serious risks.

No safety measure can prevent every case of misuse, particularly when models can be downloaded and modified. However, this should not stop platforms from taking reasonable steps to reduce the risk. Open-source AI development should support innovation without overlooking the potential harm to people whose images are used without their consent.

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Open-Source AI Platforms Must Take Responsibility After Release

Open-source AI development involves model creators, platforms and users, each with a role in preventing misuse. Making a model available for research or experimentation does not remove the risks it may pose after release.

Platforms cannot predict every possible misuse, but they should not assume a model is safe simply because it has a legitimate purpose. Safety checks should reflect what a model can actually do. A tool that restores old photos may pose different risks from one that can generate explicit images of real people.

Disclaimers alone are not enough to prevent AI deepfake abuse. Platforms should introduce practical safeguards for high-risk models while keeping legitimate research and image editing possible.

The goal should be to reduce the risk of harm without placing unnecessary limits on open-source AI. Platforms must find that balance before and after releasing models to the public.

Deepfake Victims Need Faster Image Removal and Better Support

Preventing explicit deepfakes is only part of the solution. Victims also need quick and simple ways to report abusive images and get them removed. Fake nude images can lead to online harassment, threats, blackmail and humiliation. Victims may also fear that family members, friends or employers will see the images, affecting their personal relationships, reputation and sense of safety.

AI platforms, social media companies and websites should provide clear reporting options and respond quickly to complaints. They should also limit the spread of reported images and take steps to prevent them from being reposted.

Victims should not have to struggle to prove their case before receiving help. Even when an explicit image is entirely fabricated, the emotional distress, damage to personal relationships and fear of further exposure can be real.

Public awareness is equally important. People need to understand that creating or sharing explicit deepfakes without consent can cause lasting harm. Platforms must make reporting and removal easier so victims are not left to manage the abuse on their own.

Hugging Face Must Take Explicit Deepfake Risks More Seriously

Concerns about explicit deepfakes on Hugging Face raise questions about how the platform checks the safety of the AI models it hosts. Reports suggest that popular image-editing models can be misused to create sexual images of real people. This shows the risks of making these tools publicly available without adequate safeguards.

Hugging Face has helped developers and researchers share AI models more easily. But when these models can be used to create fake sexual images of real people, their potential for misuse deserves serious attention. Safety checks should examine what a model can actually do, not just what its developers claim it is designed for.

Hugging Face cannot control every use of a model, especially after someone downloads and modifies it. However, this limitation should not become an excuse for weak safeguards. The platform should encourage stronger safety testing and clear risk disclosures. It should also provide simple ways to report models that enable nonconsensual deepfake abuse.

Victims also need better protection. Fake sexual images can lead to harassment, blackmail and humiliation, even when the images are entirely fabricated. Platforms should make it easier to report abusive content and take prompt action when complaints are verified. 

Open-source AI should remain accessible for legitimate research and innovation. But that does not mean every model should be released without careful consideration of its risks. If an AI model can be easily misused to create explicit images of real people without their consent, developers should take steps to prevent such abuse.

It should be part of the safety process, not an afterthought. Therefore, Hugging Face and model developers need to take this responsibility seriously.

Creating fake nude images is no longer the only concern surrounding AI nudify tools. These services are increasingly offering ways to turn ordinary photographs into realistic sexual videos, making it easier to create explicit deepfakes without advanced editing skills.

A January 2026 investigation by WIRED examined more than 50 deepfake websites and found that nearly all offered explicit video generation. Some services could turn a single photograph into a short sexual video using just a few clicks.

This development raises serious concerns about consent, privacy and online harassment. Fake nude images can already damage a person’s reputation, but realistic sexual videos may make the abuse harder to challenge. Victims may also struggle to stop the footage from spreading once it appears online.

AI companies and online platforms need to do more to prevent this abuse. Stronger safeguards, faster content removal and clear reporting systems are needed to protect people from non-consensual sexual deepfakes. AI safety must keep pace with the technology, rather than becoming a priority only after victims suffer the consequences.

AI Nudify Tools Are Moving From Images to Explicit Videos

AI Nudify tools use artificial intelligence to alter photos, making people appear undressed or placing them in sexual situations. These tools have been around for years, but advances in generative AI have made them easier to use and their results more realistic.

The latest concern is the shift from fake nude images to explicit videos. According to WIRED, some services can turn a single photo into an eight-second explicit video. Users can also choose ready-made templates to create clips with less effort.

This makes the problem more serious. Videos can show movement, facial expressions and changing camera angles, making fake scenes look more convincing. People who see these clips without context may mistake them for real footage.

A realistic video does not mean the event actually happened. AI can create sexual scenes featuring real people who never consented to appear in them. The technology raises serious concerns about privacy, consent and the misuse of personal photos.

The problem also extends beyond individual websites. WIRED found that sexual deepfake tools are available through websites, messaging-platform bots and services that help other developers build similar features. This makes the market harder to control.

Removing individual websites will not solve the problem on its own. If the same tools remain available through other services, people can continue creating and sharing explicit deepfakes. Platforms must do more to prevent non-consensual content from being created and distributed, rather than responding only after victims report it.

ALSO READ: AI Porn Statistics (2025-2030): Key Data, Trends & Facts

Why AI-Generated Sexual Videos Pose a Greater Risk

AI-generated sexual videos raise serious concerns about privacy, consent and online harassment. As nudify tools become easier to use, victims may have fewer ways to prevent their photos from being turned into explicit content.

1. AI Sexual Deepfake Videos Can Damage Reputations

Fake nude images can cause serious harm, but realistic sexual videos may be even harder to dismiss. Viewers may believe the footage is genuine because it shows movement and facial expressions.

The person depicted may face online harassment, bullying, threats and damage to their personal or professional life. Even after a video is exposed as fake, the damage to their reputation may continue.

Women and girls face particular risks when their photos are publicly available online. An ordinary picture from school, work or a family event could be used to create a sexual deepfake without their knowledge.

Victims should not have to defend themselves against fabricated sexual content. The responsibility should also fall on the platforms that make this abuse possible.

2. AI Nudify Tools Ignore the Importance of Consent

AI nudify tools can turn ordinary photographs into explicit content without a person’s consent. This allows others to create sexual videos using someone’s image without their knowledge or permission.

Sharing a photograph publicly does not mean someone has agreed to appear in sexual content. Permission to use a photo for one purpose also does not give others the right to manipulate it into a fake nude video.

Some services warn users to upload only images they have permission to edit. However, warnings alone cannot prevent abuse. Platforms need effective safeguards, clear reporting systems and quick responses to complaints.

Developers should treat consent as a basic safety requirement. They must also take stronger steps to prevent sexual content involving children and stop the misuse of their tools against real people.

3. AI Makes Sexual Harassment Easier to Repeat

Creating convincing manipulated videos once required editing skills, time and specialist software. AI tools have lowered these barriers, while ready-made templates make the process even simpler.

A person can use one photograph to generate several fake sexual scenes. This can increase the amount of abusive content a victim must report and try to remove.

The problem becomes harder to control when similar tools operate across websites, messaging bots and other services. Removing one platform may not stop people from finding alternatives.

This is why responsibility cannot rest with users alone. Developers, hosting providers and platforms that promote or distribute these tools must take meaningful steps to limit abuse. Without stronger safeguards, advances in AI video generation could make non-consensual sexual deepfakes easier to create and harder for victims to escape.

The Growing AI Nudify Industry Needs Stronger Oversight

The growing AI nudify industry needs stronger oversight as tools for creating fake nude images and explicit videos remain accessible online. Investigations have raised concerns about how these services operate and the technology infrastructure that supports them.

In July 2025, WIRED investigated 85 nudify and undress websites. The report found that many used infrastructure from major technology companies, including Google, Amazon and Cloudflare.

A separate WIRED investigation in January 2026 examined more than 50 deepfake websites and found that explicit video generation was widely available. These findings suggest that the problem extends beyond individual apps or websites.

Technology companies should take this issue seriously, even when they do not create the abusive content themselves. Hosting providers, app stores, advertising networks and payment services can review how their services support platforms that enable non-consensual sexual deepfakes.

This does not mean every AI image or video tool should face restrictions. These technologies have legitimate uses in filmmaking, creative projects and visual effects. The focus should be on services that facilitate sexual abuse without consent.

Companies must also explain how they prevent misuse. They should disclose how they review content, handle complaints and respond when someone reports an AI-generated sexual video made without their permission.

Stronger oversight should be a basic requirement, not an optional safety measure. If companies profit from providing these tools, they should also take responsibility for reducing the harm they can cause.

ALSO READ: UK Bans Ads for AI Nudify Apps That Sexualize Real Women

AI Companies Should Prevent Sexual Deepfake Abuse Before It Happens

Removing harmful AI-generated sexual content after it spreads is important, but it does not undo the damage. By the time a victim reports a fake nude image or explicit video, copies may already be circulating across multiple platforms.

AI developers should build safety measures into image and video generation tools from the beginning. These should include restrictions on creating non-consensual sexual content featuring real people, stronger protections for children and simple ways for victims to report abuse.

Companies must also test whether users can bypass these safeguards. A rule against sexual deepfakes means little if someone can get around it by changing a prompt or using another feature.

App stores and hosting providers should review services that promote ordinary photo editing but also offer features for creating explicit deepfakes. Platforms that repeatedly enable abuse should face meaningful consequences.

Governments must also ensure that laws against non-consensual intimate imagery cover AI-generated sexual videos. Victims need clear ways to request content removal, report abuse and seek legal help.

No single company can solve this problem alone. AI developers, social media platforms, hosting providers, regulators and law enforcement agencies must work together to prevent abuse.

The goal should be to stop non-consensual sexual deepfakes before they are created and shared, rather than leaving victims to deal with the consequences.

Victims Need Better Protection From AI Sexual Deepfakes

Victims of AI nudify tools often face an uphill battle. They may need to report fake nude images or explicit videos to several platforms while worrying that copies will continue to spread. Proving that the content is fabricated should not become another burden for the person targeted.

Social media platforms and websites should make reporting AI-generated sexual content easier. Their systems should clearly cover fake nude images and explicit videos created from ordinary photographs. Victims should also receive updates on their complaints and clear information about how to request removal.

Platforms should act quickly to limit further sharing and prevent removed content from being uploaded again. Victims should not have to repeatedly view or describe explicit material just to report the abuse.

Public awareness is equally important. People need to understand that realistic-looking videos can be fabricated using AI. Sharing such content can increase the harm, even when the person sharing it did not create it. Schools and workplaces should also have clear procedures for dealing with AI-generated sexual harassment.

The responsibility should not fall entirely on victims. Companies that develop and distribute AI nudify tools must take meaningful steps to prevent abuse, while platforms should make it easier to remove harmful content. Victims deserve protection, support and a clear path to seek justice.

AI Nudify Videos Show Why Safety Cannot Be an Afterthought

The shift from fake nude images to explicit AI-generated videos raises serious concerns about online sexual abuse. As AI nudify tools become easier to use, creating realistic sexual deepfakes without consent may become simpler for those who want to harass or humiliate others.

The report by WIRED shows that explicit video generation is already available across many of the nudify services it investigated. This is not just a future risk. The technology is already being offered, making stronger safeguards an urgent concern.

AI companies must take responsibility for preventing their tools from being used to create non-consensual sexual content. Platforms should act against services that enable abuse, while regulators must ensure victims have clear ways to report incidents and seek help.

AI video tools can serve legitimate creative purposes, but that does not excuse the harm caused by sexual deepfakes. Protecting consent and personal dignity must be a basic part of AI development, not something companies address only after abuse occurs. As these tools advance, preventing harm should matter as much as improving what the technology can create.

A 49-year-old Brazilian man sold all his belongings and travelled nearly 1,900 kilometres to meet his dream woman. But when he arrived, he discovered that the woman was an AI-generated character, not a real person.

Edimar Martins, a bricklayer from Maranhão in northeastern Brazil, travelled to Belo Horizonte, the capital of Minas Gerais, after becoming emotionally attached to a social media profile featuring a woman named Jessica Oliveira, also known as Jessica Fazendeira.

Martins told local broadcaster TV Mirante that he first came across the account in 2020. The profile reportedly had more than 300,000 followers and featured videos of a woman living on a farm. In the videos, she appeared to offer men a place to stay and financial support if they agreed to live with her.

Martins had been dealing with loneliness following his mother’s death and believed the woman could help him begin a new chapter in his life. One of the videos reportedly showed the character promising financial assistance and offering him a home on her farm. Believing he had found someone he could build a future with, Martins decided to travel to meet her in person.

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Brazilian Man Travels 1,900 Km to Meet AI Girlfriend, Discovers She Isn’t Real

According to the New York Post, Martins sold his belongings on October 9 to pay for his trip to Belo Horizonte. He travelled by bus for more than a day and reached the city on October 11.

He carried photographs of the woman and asked people if they knew who she was. However, no one could help him find her.

Martins later turned to a local radio station for help. It was there that he discovered the truth. The woman he wanted to meet was an AI-generated character, and no real person was behind the social media profile.

The revelation left Martins heartbroken. He had sold his belongings, spent his money and travelled nearly 1,900 kilometres, hoping to find a partner.

“It only brings sadness, discouragement, and depression. Many people wanted to find a relationship, so I came,” Martins said.

Creator Confirms Woman Was an AI-Generated Character

The person behind the social media account later admitted that the woman in the videos was created using artificial intelligence (AI). The creator said they had never spoken to Martins through the account. They also explained that the character was made to attract attention and generate business opportunities.

“I came here to state the obvious: I am made of artificial intelligence. I have never spoken to anyone with this profile,” the creator said.

The creator also denied inviting Martins to Belo Horizonte or planning to meet him, saying the situation had come as a surprise.

The incident shows how AI-generated characters can appear real on social media. Realistic videos and personal stories can make it difficult for viewers to tell whether they are looking at a real person or a computer-generated character.

For people looking for love online, this can create confusion, especially when an account does not clearly state that its photos or videos have been created using AI.

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Brazilian Man Seeks Help After Discovering His AI Girlfriend Was Fake

After learning that the woman he wanted to meet did not exist, Martins was left stranded in Belo Horizonte with little money to return home. He approached local authorities for help. Social workers reportedly gave him food, access to shower facilities and a bus ticket so he could leave the city.

Despite the disappointment, Martins has not given up on finding a partner. He is now staying with a family member and hopes to return to Belo Horizonte to find someone with whom he can share his life.

“I didn’t find her, but I’ll find another one, and it will be in the same place I went, and I’ll go again,” Martins said.

Martins’ experience ended very differently from what he had expected. He had travelled a long distance hoping to find love, only to discover that the woman he had become attached to was an AI-generated character.

Martins is the third man in less than six months to travel to Belo Horizonte hoping to meet a woman who turned out to be AI-generated. This shows the risks of AI-generated people on social media. Realistic images and videos can make fictional characters look like real people, leading followers to believe their stories are genuine.

AI-generated deepfake nudes are becoming a growing concern in schools. Students can use AI platforms to turn ordinary photos of their classmates into fake nude images. They can then share these images through messaging apps and school groups. For the students targeted, this can lead to embarrassment, fear and a serious invasion of privacy.

A joint investigation by WIRED and Indicator documented 88 cases involving AI nudification tools across 28 countries, affecting 640 students. These incidents highlight the need for schools to strengthen their efforts to protect students from AI-generated sexual abuse.

In many cases, schools face difficulties investigating incidents, helping affected students and deciding how to deal with those responsible. The situation becomes more difficult as AI tools make it easier to create fake nude images without advanced technical skills.

This makes deepfake abuse more than a problem of how students use AI. It also raises questions about who is responsible for protecting children. Schools, technology companies and governments must also decide how to respond when these tools are used to harm students.

AI Deepfake Nudes of Students Are Not a Harmless Prank

AI Deepfake nude images of students should not be dismissed as jokes or harmless teenage behavior. When someone uses AI to create fake nude images of a classmate without their consent, the consequences can be serious.

Although the images are fake, the harm to the person targeted is real. Students may feel ashamed, anxious or exposed when they learn that someone has created or shared sexual images of them. They also lose control over how their faces and bodies are shown to others.

The impact can last long after the images first appear online. Victims may worry about who has seen the images, whether others have saved them or if they will be shared again in the future. Some students may find it difficult to face their classmates or feel safe at school.

The person creating these images may think it is a joke or a way to impress friends. But the student targeted has little control over who sees the images or how far they spread. This difference makes the situation even more distressing for victims.

Schools must take these incidents seriously instead of treating them as ordinary arguments between students. Creating or sharing sexual images of classmates without their consent should prompt a proper investigation and support for the students affected, even when AI has been used to make the images.

An image does not have to be real to cause real harm. Using AI to create fake nude images of someone without their consent can violate their privacy and dignity. Calling it a prank does not make the behavior acceptable.

AI Deepfake Nudes Have Affected at Least 640 Students Across 28 Countries

A joint investigation by WIRED and Indicator found 88 publicly reported cases of AI-generated sexual abuse involving school communities across 28 countries. At least 640 students were affected. The cases date back to 2023 and include incidents in which students allegedly used AI nudification tools to create fake nude images of their classmates.

North America had nearly 30 reported cases, while Europe recorded more than 20. South America had more than 10 cases, and Australia and East Asia together accounted for around a dozen more.

However, the actual number of cases could be much higher. The investigation used publicly available reports, so it may have missed cases dealt with privately by schools or police. Language barriers and limited media coverage in some countries may also mean that many cases were never reported publicly.

AI Nudification Tools Are Making Deepfake Abuse Harder to Stop

AI tools have made it much easier to create fake nude images. People who once needed image-editing skills can now use apps, websites and bots to produce sexual images from ordinary photographs.

This creates a serious problem for schools. Students do not need to build their own AI tools or understand how the technology works. In some cases, they only need a photo of a classmate and access to a service that can turn it into a fake nude image.

The problem can grow once an image is created. Students may share it in group chats or post it on social media. Others can save copies and spread them further, making it difficult to control where the images end up.

Telling students to be more careful about the photos they post online will not solve the problem. It shifts the responsibility onto potential victims instead of addressing the people who create and share these images without permission.

Girls should not have to stop posting photos, avoid school events or leave social media because someone might misuse their pictures. They should be able to share ordinary photographs without fearing that someone will turn them into fake nude images.

The responsibility lies with those who create and spread these images, as well as the companies that provide these tools. Technology companies need stronger safeguards to prevent misuse, while schools must take reports seriously and help protect affected students.

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Schools Need a Clear Plan to Handle AI Deepfake Abuse

Schools respond differently to AI deepfake abuse cases. Some incidents lead to police investigations or disciplinary action. In other cases, parents say school officials have not taken their complaints seriously.

Such differences can leave students wondering whether reporting an incident will make any difference. They may also give other students the impression that creating or sharing fake nude images is not a serious offence.

Schools need clear rules for handling these cases. Staff should know what to do when a student reports abuse, how to keep evidence safe and when to involve parents, child protection services or the police.

Protecting the student targeted by the abuse must also be a priority. They should not have to explain what happened repeatedly to different staff members or face unwanted questions from classmates. Schools must also ensure that victims are not blamed, punished or made to miss classes because of the incident.

Teachers and school administrators need proper training to recognise AI-generated sexual abuse and understand how these images can spread. They should know how to respond to reports, protect students’ privacy and provide support without making the situation more difficult for the victim.

Schools should also teach students about the harm caused by creating or sharing sexual images of others without their permission. Students need to understand that using AI to create these images does not make the behaviour acceptable and that it may have legal consequences.

However, simply warning students about the risks will not be enough. Schools need reliable ways to report abuse, staff who know how to handle complaints and a clear plan to protect students when an incident occurs.

Social Media Platforms and AI Companies Must Take Responsibility

Schools often have to deal with the damage caused by abuse that starts or spreads online. This means AI companies and social media platforms also have a role to play in protecting students.

AI companies should take steps to stop their tools from being used to create sexual images of real people without their consent, particularly children. They also need to address attempts to get around these safeguards and make it easy for users to report harmful content.

Social media platforms have a separate responsibility to act when someone reports a fake nude image. Removing the original post may not be enough if other users have already saved the image and shared it elsewhere. Platforms need ways to limit its further spread and respond to reports without unnecessary delays.

Some laws are beginning to address this problem. In the United States, the TAKE IT DOWN Act requires covered platforms to offer a way to report nonconsensual intimate images, including AI-generated images. After receiving a valid request, platforms must remove the reported content and known identical copies within 48 hours.

The law is an important step towards protecting victims, but removing images after they appear online cannot prevent every case of abuse. Schools, parents and technology companies still need to work on prevention and respond when incidents occur.

AI companies should not wait until someone becomes a victim before reviewing the risks of their products. They need to build safeguards into their services from the start and take action when those protections fail. Preventing the misuse of AI should be a basic responsibility, not something companies address only after harm has occurred.

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Protecting Students Takes More Than Banning AI Tools

Banning AI tools in schools may seem like a simple way to prevent deepfake abuse, but it will not solve the problem on its own. Students can still access these services outside school, and fake nude images can spread through personal phones, social media and private messaging groups.

A better approach is to focus on preventing abuse, holding those responsible accountable and supporting the students affected.

Schools need clear rules against creating and sharing fake sexual images of classmates. They should also provide safe, confidential ways for students to report incidents. Students must understand that using AI to create these images without consent can hurt others and may have serious consequences.

Parents also have a role to play. Talking to children about consent, responsible online behaviour and the harm caused by sharing intimate images without permission can help them understand why this behaviour is unacceptable.

Governments need to ensure that laws protect people whose images are misused and give victims a way to seek help. AI companies and social media platforms must strengthen their safety measures and respond quickly when abuse is reported. Schools, in turn, should make sure that students who report these incidents receive support instead of being blamed for what happened.

There is no single solution that can stop every case of AI deepfake abuse. However, schools, parents, governments and technology companies can work together to prevent harm, hold those responsible accountable and help victims get the support they need.

Protecting Victims Must Come First in AI Deepfake Cases

AI-generated deepfake nudes have exposed how difficult it can be for schools and other institutions to keep up with new technology and deal with the harm it can cause.

The technology may be new, but using images to shame, threaten or hurt someone is not. AI has made it easier to create fake sexual images, while many schools are still figuring out how to handle these cases.

The reported incidents across dozens of countries show that this is not just a problem affecting a few schools. The available data only includes those cases that have become public, so many incidents may go unreported or remain unknown.

Students should not have to stop sharing photos or avoid social media to protect themselves from this abuse. They should also not be expected to fight for justice on their own while dealing with the emotional impact of what happened.

Schools need a clear plan for handling these incidents before another student becomes a victim. AI companies must take steps to prevent the misuse of their tools, and social media platforms need to act quickly when harmful images are reported.

The main goal should not be how quickly a school deals with public attention after an incident. It is whether the school protects the student, holds those responsible accountable and takes steps to stop the same thing from happening again.

AI-generated nude images involving children are on the rise. It involves using ordinary photographs to create fake nude or sexual images of children without their consent. These images can be shared on social media or among classmates. They can also be used to bully, embarrass or threaten the child. The person does not need an actual intimate photograph to cause harm.

The problem is becoming harder to ignore. In the UK, more children are reporting fake or digitally altered sexual images of themselves. The rising number of reports has raised concerns among child protection groups, schools and families. They are worried about how easily these images can be created and shared.

According to The Guardian, the Report Remove service received 420 reports from children in the first six months of 2026. These reports involved suspected fake or manipulated explicit images of the children themselves. The numbers were already higher than the 397 reports recorded during the whole of 2025.

AI deepfake abuse is a child safety issue, not just a technology problem. Children should not have to limit the photos they share online to protect themselves from abuse. Schools and families must help children who face this problem. Technology companies and child protection services also have a role to play. They must help victims, remove abusive images and prevent further harm.

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AI Nudification Tools Are Making Sexual Image Abuse Easier

AI nudification tools have made it easier to create fake nude images of people without their consent. In the past, creating realistic fake images often required special software and image-editing skills. Today, some websites, apps and bots can turn ordinary photos into fake sexual images with little effort.

These tools are especially concerning because they can turn a photo of a fully clothed person into a fake nude image. The person in the original photograph does not need to have taken or shared an intimate picture for this abuse to happen.

For children, this creates another risk online. A school photograph, a selfie posted on social media or another publicly available picture can be used to create a fake sexual image. Although the image is not real, the embarrassment, bullying and emotional distress it causes can have serious consequences.

The abuse can continue even after the image has been created. Someone may share it in a school group chat, post it on social media or send it directly to other students. Others can then download and share the image again, making it difficult to stop its spread. Removing the original post may not prevent further sharing.

In August 2026, the Internet Watch Foundation (IWF) reported an increase in children contacting the Report Remove service. They were seeking help with nude or sexual images they believed had been faked or digitally altered.

Not every case of sexual image abuse involves AI. Some images are created using traditional editing software or other manipulation methods. However, AI nudification tools are becoming more widely available. This makes it easier to create fake sexual images of children and increases the risks they face online.

Children Should Not Have to Sacrifice Their Privacy to Stay Safe Online

One of the biggest concerns about AI-generated sexual abuse is that children can become victims through no fault of their own. Someone can use a photo shared with family or posted on social media to create a fake nude image. This can happen without the child’s knowledge or consent.

The Internet Watch Foundation (IWF) has warned that ordinary photographs can be manipulated to create sexual images. This puts parents in a difficult position. Many families share pictures of their children to celebrate birthdays, school events and other special moments. However, they may not realise that publicly available photographs can be used to create fake sexual content.

In July 2026, The Guardian reported on warnings from the UK’s National Crime Agency and the IWF about the risks of sharing children’s photographs publicly. The guidance highlighted concerns that AI tools could allow offenders to create sexual abuse material without having direct contact with a child. Parents can reduce the risks by taking a few precautions:

• Review privacy settings on social media accounts.
• Limit who can view their children’s photographs.
• Talk to children about online safety and the risks of sharing photos publicly.
• Remember that these steps can reduce risks but cannot completely prevent image misuse.

Protecting children from AI deepfake abuse should not mean asking them to stop sharing photographs or blaming parents when abuse occurs. Children deserve to take part in online life without having to fear that an ordinary photograph could be turned into a fake sexual image. Parents should also be able to share family memories without carrying the full burden of preventing this type of abuse.

The responsibility must extend beyond families. Companies that develop AI tools must take steps to prevent their misuse, social media platforms must respond quickly to reports of abusive images, and authorities must work to protect children and hold offenders accountable. Keeping children safe online requires action from everyone involved, not just the people who may become victims.

Online Platforms Must Make It Easier to Report Fake Nude Images

When a fake nude image of a child appears online, getting it removed can be difficult. Children may not know where to report the image, what information to provide or whether asking for help will make the situation worse. Some may also fear being blamed for an image they never created or shared.

The UK’s Report Remove service gives young people a way to seek help. Run by the Internet Watch Foundation (IWF) in partnership with the NSPCC’s Childline service, it allows children under 18 to report nude or sexual images of themselves. Specialists can assess the reported material and work to have eligible images removed from the internet.

The service gives children a way to report sexual image abuse without having to handle the situation alone. The growing number of reports also highlights the need for better support for young people whose photographs have been turned into fake sexual images or manipulated without their consent.

However, reporting services cannot stop every case of online sexual abuse. An image may have already been copied, uploaded to multiple websites or shared through private messaging groups. Some children may also avoid reporting abuse because they fear embarrassment, punishment or further bullying from classmates.

Social media platforms and websites need simple, accessible ways for victims to report fake sexual images. They should review reports quickly and remove abusive content where necessary. They should also prevent the same images from being uploaded again where possible. In addition, they must protect the personal information of affected children.

AI Companies Must Take More Responsibility for Preventing Deepfake Abuse

AI companies must take steps to stop their tools from being used to create fake sexual images of children. Safety checks should be built into AI image generators before they are released.

Companies should test their tools, block requests to create sexual images of minors and fix weaknesses that allow users to bypass safety rules. They should also take action against services that create fake sexual images of people without their consent.

These safety measures must cover third-party apps, bots and modified versions of AI tools. Blocking harmful requests on one platform is not enough if similar services remain available elsewhere.

Social media platforms must also act quickly when someone reports a fake sexual image. They should remove abusive content where appropriate and protect the privacy of affected children. They should take reports seriously even when it is difficult to confirm how an image was created.

No single safety measure can prevent all cases of AI deepfake abuse. Companies need strong safeguards, simple reporting options and quick responses when abuse occurs.

In November 2025, the UK government announced legislation aimed at preventing AI models from being used to create child sexual abuse material. The proposed measures would allow authorised organisations to test AI systems for safety risks.

However, laws and safety promises are not enough on their own. AI companies must show that their safeguards work and act when their tools are used to harm children.

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Laws Must Keep Pace With AI-Generated Sexual Abuse

Laws must address the creation and sharing of AI-generated sexual images of children. Even when an image is fake, it can cause serious harm to the child whose photograph has been used.

Governments need clear laws to deal with this abuse. Police also need the skills and resources to investigate cases, identify offenders and work with online platforms to remove harmful images.

International cooperation is important because these images can be created in one country and shared across the world. Differences in laws can make it harder to stop their spread and hold offenders accountable.

Children who experience AI deepfake abuse should never be blamed for what happened. They need safe ways to report abuse and access support. Stronger laws must help prevent abuse, protect children and hold offenders accountable.

Children Facing AI Deepfake Abuse Need Support, Not Blame

The harm caused by AI deepfake abuse does not end when an image is removed. Children may worry that their classmates have seen it, that it will appear online again or that others will believe it is real. Some may feel ashamed or blame themselves, even though they did nothing wrong.

Parents, teachers and other trusted adults should take these concerns seriously. They must avoid blaming children for sharing a photograph or using social media. The responsibility lies with the person who created or shared the abusive image.

When a child reports AI-generated sexual images of themselves, adults should help them report the abuse and seek support from child protection services or the police when needed. They should also keep relevant information that may help an investigation without sharing or circulating the image further.

Schools must protect affected students from bullying and provide access to emotional support. Students who create or share abusive images may need disciplinary action, but schools must also focus on the safety and well-being of the child targeted.

Every child should feel safe asking for help. Children facing AI deepfake abuse need protection, understanding and support, not blame for someone else’s actions.

AI Innovation Must Not Come at the Cost of Children’s Safety

The rise in reports to the UK’s Report Remove service shows that AI deepfake abuse is a growing concern. AI tools can make it easier to create fake sexual images, leaving children to deal with the harm.

Report Remove received 420 reports of suspected fake or manipulated sexual images in the first six months of 2026, compared with 397 during all of 2025. These figures do not show the total number of victims, and not every case necessarily involved AI. However, they show that more children are reporting such images.

Although the full scale of the problem is unclear, that should not stop action. AI companies must make their tools safer. Social media platforms should respond quickly to reports of abusive images. Schools need clear rules for handling these cases, and governments must ensure that laws keep pace with new technology.

Parents can teach children about online safety, but they cannot prevent every case of abuse. Children should not have to stop sharing photos online out of fear that someone might misuse them. AI companies must do more than create realistic images. They must also take steps to prevent their tools from being used to harm children.

Protecting children from AI deepfake abuse requires action from technology companies, online platforms, schools and governments. Children and their families should not have to carry this responsibility alone.

AstraZeneca has signed a deal worth up to $1.5 billion with biotechnology company Insitro to use artificial intelligence (AI) to discover new treatments for liver and heart diseases. Announced on October 15, 2026, the partnership will use Insitro’s “Virtual Human” AI platform to study diseases and identify potential targets for new drugs.

The research will focus on metabolic dysfunction-associated steatohepatitis (MASH), a serious form of fatty liver disease, and cardiomyopathies, which affect the heart muscle. The deal reflects growing interest in using AI to speed up drug discovery.

AstraZeneca will pay insitro $40 million upfront. Insitro could receive another $1.46 billion if the research meets specific development and sales targets. The deal also includes royalties on future drug sales, meaning the full $1.5 billion will depend on the programmes’ progress and commercial success.

What Is Insitro’s Virtual Human Platform?

Insitro’s Virtual Human platform uses artificial intelligence (AI), machine learning and lab-grown human cells to study how diseases develop. It combines biological data with computer-based analysis to help scientists understand the causes of diseases and identify possible targets for new drugs.

Finding the right drug target is an important step in drug discovery. It helps researchers identify which parts of the body or biological processes a new medicine should affect.

Under the AstraZeneca partnership, Insitro will use the platform to study MASH and cardiomyopathies. Researchers will investigate targets identified by AstraZeneca and work to turn promising findings into potential drug candidates.

The Virtual Human platform is not a complete digital copy of a person. It uses biological models, data and machine learning to study human diseases. Any potential findings will need further testing before they can support the development of new medicines.

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AstraZeneca Turns to AI to Find New Treatments for Liver and Heart Diseases

Developing new medicines can take years, partly because scientists need to understand what causes a disease and how to treat it. AI can help researchers analyse biological data and identify potential drug targets earlier in the research process.

AstraZeneca will use insitro’s AI platform to study MASH and heart muscle diseases. The aim is to identify biological targets that could help researchers develop new treatments for patients with these conditions.

The two companies will share the work. Insitro will use its AI technology and laboratory research to study diseases and identify potential drug candidates. AstraZeneca will handle clinical development and the later stages of bringing successful medicines to market.

The partnership combines Insitro’s expertise in AI and biological research with AstraZeneca’s experience in developing medicines. This could help researchers identify new treatment options for liver and heart diseases.

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AstraZeneca and Insitro Target Fatty Liver Disease and Heart Conditions

AstraZeneca and Insitro will use AI to identify potential drug targets for two conditions: metabolic dysfunction-associated steatohepatitis (MASH), a serious form of fatty liver disease, and cardiomyopathies, which affect the heart muscle.

MASH causes fat buildup, inflammation and liver damage. In severe cases, it can lead to cirrhosis or liver failure. The companies will use AI and human cell models to study the disease and identify possible targets for new treatments.

The research will also examine cardiomyopathies, which can affect the heart’s ability to pump blood and may lead to heart failure. The aim is to understand the biological causes of these conditions and identify potential drug candidates.

The research is still in its early stages. Any potential drugs will need further research and testing before they can be made available to patients.

How AstraZeneca’s $1.5 Billion AI Deal Could Shape Drug Discovery

The $1.5 billion AstraZeneca-insitro deal highlights the growing use of AI in drug discovery. The partnership combines AI analysis with laboratory research to help scientists understand diseases and identify potential targets for new medicines.

The agreement also shows that pharmaceutical companies are investing in biotechnology firms to support early-stage drug research. However, Insitro will receive most of the potential payments only if the research programmes meet specific development and commercial milestones.

The success of the partnership will depend on whether the research identifies promising drug targets and leads to potential treatments. Any resulting drug candidates will still need further development and testing.

The deal reflects AstraZeneca’s investment in AI-based drug discovery, but it remains uncertain whether the research will produce new medicines for liver and heart diseases.

The Group of Seven (G7) has agreed to run simulated AI cyberattacks. It will test how governments, central banks and financial regulators respond to cyber threats. The exercises will focus on protecting banks and key financial systems from attacks involving advanced artificial intelligence (AI).

The move follows a warning from the International Monetary Fund (IMF). The IMF said an AI-based cyberattack on a critical financial service could weaken public trust in financial institutions.

Japanese Finance Minister Satsuki Katayama confirmed the plan after a meeting of G7 finance ministers and central bank governors. The meeting took place alongside the IMF’s annual meetings in Bangkok, Thailand. Reuters reported the agreement on October 16, 2026.

G7 to Test Responses to AI Cyberattacks

The planned exercises will simulate cyberattacks involving advanced artificial intelligence (AI). They will help financial authorities test their emergency response plans and assess their readiness for such threats.

Officials will review the results to identify gaps in existing security measures. This might also lead to updates to response guidelines for handling AI-related cyberattacks. G7 financial authorities will develop the exercises. Private financial institutions may also take part, depending on the scenarios.

The G7 consists of Canada, France, Germany, Italy, Japan, the United Kingdom and the United States. The group works together on economic and financial issues affecting its members and the global economy.

Why AI Cyberattacks Are a Growing Threat to Banks

Banks and other financial institutions face new cybersecurity risks as AI systems become more advanced. Attackers could use AI to find software weaknesses, automate cyberattacks and carry out attacks faster.

These threats could affect banks, payment services and other critical financial systems. An attack on one institution could also spread through connected networks and disrupt services in multiple countries.

In a September 2025 statement on AI and cybersecurity, the G7 Cyber Expert Group warned about the risks of AI misuse. It said AI could increase the frequency and impact of cyberattacks. It also highlighted risks arising from financial institutions’ reliance on shared technology providers.

AI can also help banks detect security weaknesses, identify suspicious activity and respond to cyber incidents. However, financial authorities must prepare for attackers to use the same technology to target banks and critical financial systems.

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IMF Warns AI Cyberattacks Could Threaten Financial Stability

The International Monetary Fund (IMF) has warned that AI-related cyberattacks could pose risks to financial stability. An attack on a critical financial service could disrupt operations and weaken public trust in banks and other financial institutions.

The threat extends beyond individual banks. Financial institutions depend on connected networks, technology providers and payment systems. A major cyberattack could affect multiple institutions and disrupt financial markets at the same time.

The G7’s planned cyberattack simulations will test how authorities coordinate their response to such incidents. The exercises could help identify gaps in communication, crisis management and recovery plans before a real attack takes place.

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G7 Strengthens Cybersecurity Measures Against AI Threats

The G7 is taking further steps to prepare banks and financial systems for new cyber threats. Regulators and central banks are assessing how advanced artificial intelligence (AI) could affect existing security measures and the ability of financial institutions to recover from major cyberattacks.

In July 2026, the G7 Cyber Expert Group announced that it had completed a cross-border exercise simulating a large-scale cyberattack across G7 countries. The exercise involved finance ministries, central banks, banking supervisors and financial market authorities. It tested how these agencies respond to cyber incidents, share information and communicate during a crisis.

The group also adopted a long-term plan to hold these exercises more regularly and follow a consistent approach. The upcoming AI cyberattack simulations will build on these efforts. They will test how financial authorities respond to cyber threats involving advanced AI systems.

How G7 Plans to Test Banks Against AI Cyberattacks

The planned G7 exercises could help governments and financial institutions find weaknesses in their cybersecurity plans and improve coordination during a crisis.

The tests will also help authorities assess whether current security measures can handle attacks involving advanced AI systems. However, their effectiveness will depend on the attack scenarios used. It will also depend on how officials use the findings to improve security.

The G7 has not yet shared a detailed schedule or confirmed which cyberattack scenarios the exercises will cover.

As AI technology advances, testing how financial systems respond to cyberattacks will become increasingly important. These tests can help protect banks, payment networks and the global economy.