Google Cloud is previewing CodeMender, an AI agent that scans code, verifies exploitability in a customer-managed sandbox and generates patches for human review.
AWS has introduced an AI Security Best Practices standard for Security Hub CSPM, extending automated posture checks across Bedrock, AgentCore and SageMaker workloads.
Google Cloud has opened CodeMender in public preview, combining AI-assisted vulnerability discovery, exploit verification and patch generation while keeping developers responsible for final approval.
Google Cloud has placed CodeMender in preview, combining AI vulnerability discovery, exploit verification and developer-reviewed patch generation in a single security workflow.
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.
