Google Cloud has opened CodeMender in preview, combining AI-assisted vulnerability discovery, exploit verification and developer-reviewed code fixes in one security workflow.
Google Cloud is previewing CodeMender, an AI code-security agent designed to find, verify and fix vulnerabilities while keeping developers in control.
Google Cloud has placed CodeMender in preview, combining AI vulnerability discovery, exploit verification and developer-reviewed patch generation in a single security workflow.
Microsoft says its MDASH system used more than 100 specialized AI agents to help identify 16 Windows vulnerabilities, while its disclosed benchmark results show both the promise and the limits of agentic security research.
A practical workflow for discovering AI endpoints, tuning detection, reducing false positives and safely enforcing security policies.
Anthropic’s Fable 5 safeguard disclosure provides a practical framework for testing AI-assisted security workflows without exposing production systems or turning a review into an offensive exercise.
A practical checklist for using AI vulnerability agents without giving them uncontrolled access to code, credentials or production systems.
Anthropic’s July case study on Alberta shows how security teams can combine deterministic scanning, AI-assisted review, automated testing and human approval without handing production changes to an autonomous agent.
Anthropic’s expanded Project Glasswing points to a practical workflow for turning AI-assisted vulnerability discovery into controlled remediation.
Anthropic’s published evaluations position Claude Sonnet 5 as a capable general-purpose agent with meaningful safety improvements, but limited evidence of advanced exploit-development ability.
Anthropic’s limited preview has a credible defensive case, but its public evidence still stops short of proving production-ready autonomous vulnerability remediation.
