AI Application Vulnerability Remediation: Why AI Vulnerability Fixes Fail Without Runtime Context

TL;DR
AI-powered vulnerability remediation often fails because it lacks context about how your applications actually work. Runtime intelligence solves this by providing AI with real-world application behavior data, architecture insights, and dependency information. This context-aware approach reduces remediation time by up to 87% while eliminating the false positives that plague traditional scanning.

*** This is a Security Bloggers Network syndicated blog from AppSec Observer authored by Jake Milstein. Read the original post at: https://www.contrastsecurity.com/security-influencers/ai-application-vulnerability-remediation-why-ai-vulnerability-fixes-fail-without-runtime-context

About Author

AndyC

Andy Curtis is an award-winning security consultant, researcher and public speaker. He has been working in the computer security industry since the early 1990s, having been employed by state and federal government, leading healthcare and banking providers across three continents. He has given talks about computer security for some of the world’s largest companies, worked with law enforcement agencies on investigations into hacking groups, and is a regular voice on TV and radio explaining IT security threats.

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