Microsoft and GitHub have launched a powerful integration between Defender for Cloud and GitHub Advanced Security (GHAS) to directly target the growing crisis of security debt in enterprise codebases. By combining runtime intelligence with AI-driven prioritization and automated fix suggestions, organizations can reduce mean time to remediate by up to 70% while closing gaps across Dev, Sec, and Ops.

What’s New

• Runtime-aware prioritization: Signals from production workloads (Defender for Cloud) feed into GHAS to surface exploitable vulnerabilities first.
• AI-assisted remediation: Suggested fixes and guided PRs accelerate patching at scale while preserving developer velocity.
• Unified visibility: Security posture mapped from cloud to repo to runtime, enabling coordinated action across teams.

Why It Matters

Traditional tooling floods teams with alerts without context. This approach focuses effort on the issues that actually matter in production—and helps fix them fast. The result: lower risk exposure, fewer critical backlogs, and a measurable reduction in security debt.

How It Works

1. Findings from runtime and cloud posture are correlated to specific repos and services.
2. AI ranks issues by exploitability, blast radius, and business impact.
3. Developers receive actionable PRs with fix guidance or automated patches.
4. Remediation is tracked end-to-end with policy guardrails.

DevSecOps Impact

• Focus on exploitable risk instead of “scan-all, fix-none” backlogs.
• Accelerated MTTR through automated, high-confidence fixes.
• Fewer regressions via policy-backed PR validation and continuous verification.

Key Takeaway

Integrating AI with runtime intelligence bridges DevSecOps gaps, enabling faster and more effective vulnerability management—and a path to paying down security debt at scale.