The Agent Governance Toolkit brings runtime policy enforcement to autonomous agents, targeting the OWASP top 10 agent risks.

In the future, AI agents will be able to find one another using the Domain Name System (DNS), instead of crawling about and ...

Millions of AI agents and tools around the world have been imperiled by a critical vulnerability that can allow hackers to ...

AI vs AI cybersecurity arrived in documented form on May 10, when an LLM agent drove a four-pivot intrusion to database exfiltration in under an hour with no human direction. CrowdStrike data puts ...

DCI lets AI agents search raw files with grep and bash instead of embeddings — boosting accuracy 11 points and cutting ...

The Essential Cloud for AI™, today announced CoreWeave Sandboxes, an execution layer that gives AI researchers and platform teams secure, isolated environments for running reinforcement learning (RL), ...

Microsoft’s Azure-based AI development and deployment platform shines with a strong selection of models and agent types and an excellent playground for experimenting with agents. At first glance, ...

The risk is "materially understated", researchers are saying as passwords and critical data can be exfiltrated.

Keycard for Multi-Agent Apps Lets Developers Build Secure Autonomous Applications Where Access is Delegated Between Agents, on a Per-Task Basis, Without Standing PrivilegesSAN FRANCISCO, May 14, 2026 ...

AI systems are no longer passive tools. They make decisions, execute multi-step workflows and access sensitive data ...

Cybersecurity researchers create a five-step exploit chain using over-permissioned roles, secrets discovery, and NHIs to attack a popular low-code service.

Google followed its Cloud Next '26 Gemini Enterprise Agent Platform rollout and its Antigravity CLI transition with a broader I/O 2026 agent-development stack spanning Agent Studio, Managed Agents API ...