defending-code-reference-harness

Arnés de Referencia para Defensa de Código Una implementación de referencia para el descubrimiento y remediación autónomos de vulnerabilidades con Claude, basada en nuestros aprendizajes de asociarnos con equipos de seguridad en varias organizaciones desde el lanzamiento de Claude Mythos Preview...

sentinel-mcp

SentinelMCP — AI驱动的网络防御系统 Google Cloud Hackathon 提交项目 — 由 Google Cloud Agent Builder Vertex AI Agent 编排的自主威胁检测与响应，基于 Gemini 2.0 Flash、模型上下文协议（MCP）和 Dynatrace 可观测性。 问题所在 安全团队在处理典型安全事件时，平均检测时间（MTTD）为 30分钟 ，平均修复时间（MTTR）为 4小时 。等到人工分析师检测到攻击、编写防火墙规则并部署完毕，损失早已造成。 解决方案 SentinelMCP 将 MTTD 缩短至 30秒，MTTR 缩短至...

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...