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Three steps to use runtime truth to harden AI-generated code
As organizations rapidly adopt AI assistants to accelerate software creation, they frequently introduce hidden vulnerabilities and structural weaknesses into codebases that legacy pre-production tools fail to catch. The advanced Contrast Security platform successfully hardens AI-generated code by leveraging concrete runtime truth through a powerful three-step approach. First, it establishes deep, continuous observability across the entire application portfolio to map real data flows. Second, it prioritizes the resulting AI-introduced backlog based on actual code reachability while blocking live threats in-process. Finally, Contrast closes the loop with automated remediation feedback, ensuring every fix is securely anchored in production execution.
