How to Choose Security Testing Tools Across the Software Lifecycle

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Summary

The article compares SAST, Deep PR Review, Code Security Audit and AI pentesting, explaining their coverage, timing, costs and limitations. It recommends layering them across commits, pull requests, releases and live validation.

Key points

  • SAST deterministically matches known code patterns and is suited to frequent, low-cost checks, but can miss business-logic flaws and produce false positives.
  • Deep PR Review reasons about how a code change interacts with the wider repository to identify issues such as broken access control before merging.
  • Code Security Audit analyzes repository code without a live environment, helping assess logic flaws and code behind feature flags; its findings are not validated through execution.
  • AI pentesting tests a live application and attempts exploitation to provide evidence of exploitability, but requires a stable environment and configured authentication.
  • Aikido reports that across more than 1,000 platform AI pentests, white-box engagements found a median of seven times more high- and critical-severity findings than grey-box engagements, at roughly half the compute cost per finding.
  • The article recommends layering SAST, PR-level review, repository-wide audits and live pentesting according to risk, release timing and compliance needs.

Article Details

Topic
Comparison of application security testing approaches across the software development lifecycle, including SAST, AI code review, code security auditing, and AI penetration testing.

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