defending-code-reference-harness

Defending Code Reference Harness Claude Mythos Preview のリリース以降、複数の組織のセキュリティチームとの協業から得た知見に基づく、Claude を用いた自律的な脆弱性発見と修正のためのリファレンス実装です。これらの知見とベストプラクティスについては、付随するブログ記事（blog-post.md でも入手可能）を参照してください。同じ recon → find → triage → report → patch ループの軽量な SDK のみのウォークスルーについては、コンパニオンクックブックを参照してください。...

sentinel-mcp

SentinelMCP — AI 搭載サイバー防御システム Google Cloud Hackathon 提出作品 — 自律的な脅威検出と対処を Google Cloud Agent Builder Vertex AI Agent が調整し、Gemini 2.0 Flash、Model Context Protocol MCP、Dynatrace 可観測性を活用。 問題点 セキュリティチームは、一般的なインシデントに対して 30 分の MTTD と 4 時間の MTTR...

Autonomous Remediation Is Already Running at Enterprise Scale

The following is a guest blog by ITSPmagazine, based on their interview of Qualys President & CEO Sumedh Thakar at Black Hat USA 2026. Sumedh Thakar has watched the same clock compress for 23 years. He joined Qualys as an early software engineer on the scanner, when organizations scanned once eve...

Handling the Vulnerability Surge in the Post-Mythos Era

How to Operationalize Hyper-Prioritization and Autonomous Remediation with Qualys Executive Summary The Mythos era, defined by a surge of AI-driven vulnerabilities from frontier models like Anthropic 's Claude Mythos, requires security teams to fundamentally move from manual to an autonomous...

How Agentic AI Helps with Adaptive Cloud Risk Assessment with Agent Vikram

In fast-moving cloud environments like AWS, security teams face an uncomfortable truth: not every EC2 instance is being scanned, existing tools don’t work across a diverse environment that includes long-lived and ephemeral assets, and visibility is never complete. Qualys research found that over...