How Autonomous Application Security Testing Transforms DevSecOps
Autonomous Application Security Testing (AAST) uses AI and machine learning to continuously detect, analyze, and remediate vulnerabilities with minimal human input. It integrates techniques like SAST, DAST, SCA, and IAST into CI/CD pipelines, automatically adapting to code changes and prioritizing high-impact issues. This approach accelerates release cycles, improves accuracy, and strengthens shift-left security. Despite its advantages, AAST still faces challenges in data quality, tool integration, and operational maturity across complex development environments.
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