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.

The difference between a prompt injection attack you'll catch and one you won't might just be whether your AI agent can explain itself.

AI generates 2.5 signals for every human-triggered signal CrowdStrike has to assess. Meanwhile, attackers are using AI to weaponize vulnerabilities faster than companies can patch them.

Ely Kahn, Okta's chief product officer, told CyberScoop the deal enriches the company's current threat detection tools and gives it deeper visibility into AI agent activity across…

The messy approach to U.S. AI regulation reflects both the rapid speed of model cyber capabilities and the White House’s “education” over the past two years, experts…

The AI agent didn’t accomplish every step in the late June 2026 attack, but it allowed the threat actor to significantly reduce complexity, speed up the tempo…

Mike Nichols, General Manager of Security at Elastic

The guidance warns that agents capable of taking real-world actions on networks are already inside critical infrastructure, and most organizations are granting them far more access than…

Anthropic recently announced that it would not release Mythos, its most powerful AI model, to the public. The model discovered thousands of previously unknown software vulnerabilities —…