AI agent tool bypass vulnerability CoreBreak exposed production agent infrastructure at AWS, Google, and Vercel, where attackers could invoke tools without any model turn. AWS fixed its managed ...

AI agent flaws in AWS, Google, and Vercel let forged tool calls reach tools without model authorization, while several paths ...

For continuous and stable signals, here’s how to integrate the digital-to-analog converter DAC7821 with the TL082 operational ...

Overview: Mathematics is driving careers in data science, artificial intelligence, actuarial science, cybersecurity, quantum ...

The flaws show how agentic workflows can turn trusted repository signals into privilege-escalation paths that conventional ...

Dependency confusion is a supply chain issue that affects how package managers choose where to download a dependency from. If your build or developer tooling can see both a private package registry ...

Filters don't stop prompt injection; architecture does. A field guide to the lethal trifecta, the rule of two, Dual-LLM and ...

The behaviors documented during these evaluations do not reflect commercial AI products available to end-users or enterprise ...

As AI agents gain autonomy inside enterprises, the biggest cybersecurity threat may no longer be hackers, but the agents ...

Chainguard Libraries secures dependencies before they enter customer environments, helping teams move from reactive detection to proactive prevention. Instead of pulling packages directly from public ...

AI coding agents allow finance teams to build solutions without needing an engineering background, as they only need to define the logic and desired outputs, while the AI writes the code, tests it and ...

A leaked n8n API key is only the start. GitGuardian's research traces the full chain, from exposed tokens and weak keys to ...