While voluntary, the document marks the federal government’s most detailed cybersecurity guidance for securing sandbox environments during AI model tests.

Experts and policymakers want AI companies to face consequences for agentic hacks. There may not be a clear-cut answer under existing laws and regulations.

One expert told CyberScoop that the announcement reflects industry recognition that after years of training models to behave safely or ethically, more outside controls are needed.

A new Democratic bill in Congress would establish a federal Cybersecurity and AI Board of Investigations to provide independent government oversight of cyberattacks carried out by AI…

Following a series of chaotic agentic hacks, Trump and administration officials have consistently expressed fears of Chinese AI dominance in pushing for fewer regulations.

While large language models present real risks to society, experts say they can be tested and largely controlled using well-worn cybersecurity and policy choices.

OpenAI confirmed their agents were behind a campaign in May that researchers say flooded the popular online code repository with malicious software packages.

In a post-mortem, the frontier AI testing company said internet access for models is necessary to fully test out their cybersecurity capabilities.

As frontier models and their sandbox escaping exploits dominate front-page news, researchers are increasingly worried about cheaper, more efficient AI models. 

Oligo Security uncovered evidence of a long operational history, including multiple previous attacks it traced to the same attacker infrastructure and tools.