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Impart launches Runtime Defense Harness for AI virtual patches

Original title: Impart uses AI to build virtual patches without putting models in the traffic path

Help Net Securityby Industry News ()2 min read1
Part of a story covered by 6 sourcesNode.js patched Brotli flaw CVE-2026-111497; more fixes scheduledMerged summary & timeline
AI summary · x-ai/grok-4.7Summaries by Vani AI

AI agents write tested virtual patches in 60 minutes enforced inline as WebAssembly without traffic path impact.

Impart Security launched the Runtime Defense Harness, a controlled environment where AI agents write and test virtual patches against customer traffic. The model never sits in the live request path. Teams get tested virtual patches as soon as 60 minutes after disclosure.

Key facts
  • Virtual patches enforced inline as WebAssembly
  • Engineer approval required for live rule changes
  • Uses lightweight AI model or bring your own
  • Held up under real Node.js vulnerability
Security assessment · AI, from the article

Impact: fast response to new vulnerabilities

What to do
  1. 1.use Runtime Defense Harness
  2. 2.approve virtual patches
  3. 3.review audit trail
Analyze this story with Vani AIImpact, who is affected and what defenders should do, in a new chat

Vulnerabilities mentioned

All
CVEVulnerabilityCVSSEPSSSignalsPublished
CVE-2026-111497
Buffer overflow in Google Brotli decoder 1.0.3–1.2.0
9.283%KEVPoC ×25
KEV

From the original article

2 min read at helpnetsecurity.com

Impart Security has launched the Runtime Defense Harness, a controlled environment where AI agents write and test virtual patches for new vulnerabilities without putting AI in the traffic path. The launch comes as exploits increasingly outpace fixes. In the harness, agents build each virtual patch against the customer’s own traffic, an engineer approves it, and Impart’s engine enforces it as deterministic code.

Help Net Security

By Industry News · helpnetsecurity.com

Read the full article at Help Net Security

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.