Deterministic security tools like SAST remain essential because they deliver consistent, auditable, and cost-efficient results on every commit — qualities that probabilistic AI models cannot reliably provide. AI scanners and agentic pentesting excel at finding novel logic flaws and context-dependent vulnerabilities that rule-based tools miss, but their non-deterministic outputs make them unsuitable as CI/CD pipeline gates. The optimal security pipeline layers both: deterministic scanning runs on every commit for fast, repeatable coverage, while AI reasoning sits on top for triage, exploitability assessment, and deeper pentesting. Aikido's own approach uses Opengrep for deterministic SAST, then applies LLM-based AutoTriage only to findings that survive reachability filtering, reducing false positives and improving signal quality without sacrificing reproducibility.
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When security tools need to be predictableDeterministic security toolsProbabilistic security toolsWhy we need bothHow Aikido uses bothWhat’s next?Sort: