RESEARCH
Companies 'don't want their IP exposed, so they're willing to pay'
Data theft and extortion crews are stealing companies’ proprietary AI data and threatening to leak it if the victim organizations don’t pay a ransom, according to Google’s threat hunters.
In one case that Google’s Mandiant incident response team investigated, the crooks broke into a healthcare company and exfiltrated corporate data and drug research, including AI research and a proprietary AI model. The criminals then threatened to publish the data unless the company met their extortion demand.
In another breach at a company that specializes in AI media generation, attackers stole sensitive AI data including source code, prompts, skills, model scripts, and secrets before demanding a payment and threatening to dump the AI assets publicly if the ransom wasn’t paid.
Google detailed these two intrusions for the first time in its most recent AI Threat Tracker, published Tuesday and shared in advance with The Register.
“But it's certainly not limited to that,” John Hultquist, chief analyst at Google Threat Intelligence Group, said in an interview with The Register. Mandiant responded to several of these data-theft-and-extortion operations during the second quarter of 2026, he said. The intrusions affected companies in the technology, healthcare, pharmaceutical, and media and entertainment sectors in North America and Europe.
“It’s become a really valuable target where organizations are spending a lot of money and investment, and they don't necessarily want their IP exposed to the open world, so they're willing to pay in an extortion scheme,” Hultquist said.
“Criminals attacking AI systems is an area that's not received as much attention as it probably should, and as we incorporate these systems, it’s going to come with brand-new risks,” Hultquist added. “There are certainly threat actors who are ahead of others when it comes to that problem – TeamPCP has been extremely successful.”
Since March, TeamPCP has pulled off several very large scale open source supply chain attacks targeting ecosystems including PyPI, npm, and Docker Hub. After compromising these open source packages and registries, TeamPCP, which Google tracks as UNC6780, typically deploys stealers to scoop up cloud and AI system credentials.
“Evidence indicates that UNC6780 created a malicious GitHub Actions workflow for the company’s proprietary AI repository, and that the extortion actor exfiltrated a copy of this AI repository,” the report says. “Beyond these demonstrated tactics, UNC6780 has also implemented more than half a dozen different methods to target or exploit AI tools and open source software development practices.”
While Google’s earlier AI tracker, published in February, documented attackers experimenting with agentic AI to support certain pieces of the attack chain, in the past quarter they’ve gone on to integrate agentic capabilities into multiple stages of an attack lifecycle, according to the researchers.
In one example, Mandiant observed miscreants who compromised an organization’s cloud infrastructure in an autonomous, multi-agent credential-harvesting attack that took less than six hours. During that time, the agents autonomously scanned for vulnerabilities, performed real-time troubleshooting, and executed IP rotation logic without manual intervention. “Like scanning – but with a brain,” Hultquist said.
In another case detailed in the report, Google Threat Intelligence observed a China-linked espionage group using Gemini to design a dynamic, automated penetration-testing framework that could reason through actions, execute tasks, and change course as needed in unpredictable environments.
Google disabled the assets associated with this particular crew. “That’s where we are headed,” Hultquist said.
“We're kind of in this interim place where threat actors are inserting agentic AI into certain parts of their operations, but we've not gotten to the place where they are able to sort of remove themselves entirely. We're right on the precipice of that.” ®