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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.

The post AI Application Vulnerability Remediation: Why AI Vulnerability Fixes Fail Without Runtime Context appeared first on Security Boulevard.

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DAST vs AI Code: Why Dynamic Application Security Testing Can’t Keep Pace

DAST vs AI Code: TL;DR

Traditional DAST requires 8+ hours for comprehensive scanning while AI-generated code deploys 10 times daily. This speed mismatch creates a fundamental security gap: most organizations run DAST weekly, leaving 70+ deployments unchecked between scans. The Contrast Runtime Security Platform offers a fundamentally different approach by embedding security directly into application runtime to detect vulnerabilities as they deploy and block attacks as they happen.

The post DAST vs AI Code: Why Dynamic Application Security Testing Can’t Keep Pace appeared first on Security Boulevard.

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