In a meeting on Sunday, the U.S. Treasury secretary and China’s vice premier talked about having a shared vision on the goals of artificial intelligence and the threats it poses.
Treasury Secretary Scott Bessent said on Sunday that the alert system would be activated when a matter related to artificial intelligence reaches the national security level.
Before two of its alleged members were arrested and charged in Australia last month, the hacker group known as TeamPCP carried out a hacking spree unlike any other in history. It tainted hundreds of open-source programs with its malware, stole developer accounts to perpetuate that software supply-chain hacking, and even released a Dune-themed self-spreading worm to automate the process, ultimately breaching more than a thousand companies.
Now Google’s threat intelligence group has revealed that during a key moment of TeamPCP’s rampage, the company’s own undercover researcher had infiltrated the group—allowing Google to monitor the hacking spree from the inside, warn breach targets, and even help disrupt the group’s attempts to exploit those victims.
In a talk at security firm SentinelOne's LABScon research conference today, Google Threat Intelligence Group researcher Austin Larsen will present details on the company’s investigation—and infiltration—of TeamPCP amidst the group’s unprecedented, chaotic supply-chain hacking campaign. According to Larsen, Google eventually followed a trail of operational security mistakes allegedly made by one of the two Australians now accused of being leading members of the hacker group and passed on key identifying details to law enforcement. The company also received intelligence from ShinyHunters, another infamous cybercriminal group that TeamPCP partnered with, but which later turned on the supply-chain hackers. And perhaps most surprisingly, Larsen says that Google’s security subsidiary Mandiant had an undercover analyst—not himself—within the group’s inner circle from almost the beginning of TeamPCP’s time in the spotlight.
A third-party test company inadvertently gave internet access to Google’s Gemini and other artificial intelligence models during cybersecurity testing.
The Gemini incidents occurred while the model was undergoing testing at Irregular, an Israeli start-up that works with tech companies to assess their A.I. models before they are publicly released.
The company is expected to reach $100 billion in annualized revenue this year, even as chief executive Dario Amodei calls for slowing down development of some advanced A.I. models.
The company is expected to reach $100 billion in annualized revenue this year, even as chief executive Dario Amodei calls for slowing down development of some advanced A.I. models.
Gov. Gavin Newsom ordered the state to develop recommendations on safety measures, including requiring companies to build a “kill switch,” amid mounting concerns.
“We’re going to speed up our work on substantial and responsible A.I. oversight before it’s too late,” Gov. Gavin Newsom of California said in a news release.
The countries, along with Israeli firms, combined Chinese open-source A.I. models and A.I. agents for the campaigns, foreshadowing future online manipulation.
The countries, along with Israeli firms, combined Chinese open-source A.I. models and A.I. agents for the campaigns, foreshadowing future online manipulation.
Cyber researchers broke into OpenAI using its key rival Anthropic’s software, highlighting vulnerabilities in the ChatGPT maker’s security as leading AI companies face mounting scrutiny over safety.
A small cyber security group gained access to an OpenAI employee’s ChatGPT account, which permitted them to read private software information and suggest changes.
The researchers had been given access to an Anthropic tool specifically designed for security professionals, and were paid for the work as part of a program to find vulnerabilities before they could be exploited by bad actors.
On social media, Meta’s chief executive appeared to jab at Anthropic by saying that leading A.I. labs should be focused on safety rather than improving their own technology.
Mark Zuckerberg in July. In a social media post on Tuesday, he said that leading A.I. labs should be focused on safety rather than improving their own technology.
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