Topic starter
14/09/2026 10:09 am
TL;DR: Deterministic SAST still delivers strong precision, with a 93.75% true positive rate and just 2.12% false positives on OWASP Benchmark for Java, according to Cycode. Agentic code scanning closes gaps on authorization flaws and outperforms a higher-cost model when guided by a harness; the practical lesson is that AI reasoning does not replace baseline code analysis, but works best when precision, coverage, and orchestration are deliberately separated.
Editorial analysis by NHI Mgmt Group, based on content published by Cycode: “What Benchmark Data Says About Deterministic SAST and Agentic Code Scanning”.
By the numbers:
- Cycode SAST achieved a 93.75% true positive rate on OWASP Benchmark for Java v1.2.
- Cycode SAST recorded a 2.12% false positive rate on OWASP Benchmark for Java v1.2.
Key questions
Q: What breaks when deterministic SAST is too noisy to trust?
A: When deterministic SAST produces too many false positives, developers stop relying on it and exploitable findings get lost in alert fatigue.
Q: Why do authorization flaws often escape rules-based scanners?
A: Authorization flaws often escape rules-based scanners because the defect is not a bad pattern in the code, but a missing or incomplete enforcement decision.
Q: What do security teams get wrong about agentic code scanning?
A: The common mistake is treating the model as the control, when the harness is what actually drives precision, scope and budget.
Practitioner guidance
- Maintain a high-precision deterministic SAST baseline Run deterministic SAST on every change and tune it to minimise false positives before layering any agentic analysis on top.
- Use agentic scanning for implicit enforcement failures Direct reasoning-based scans at authorization checks, scope validation and business logic paths where rules cannot easily express the expected control.
- Separate coverage, precision and orchestration metrics Report deterministic SAST, agentic code scanning and harness performance independently so teams can see which layer is finding which class of issue.
Bottom line: Deterministic SAST remains valuable because precision still matters more than model sophistication when teams need a control they can trust every day.
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14/09/2026 10:10 am
Deterministic precision still sets the floor for usable security automation: if a scanner cannot keep false positives low, teams stop trusting it and exploitable findings drown in noise. This article shows that the baseline control is not obsolete just because reasoning exists. For practitioners, the lesson is to treat precision as a governance requirement, not a tuning preference.
A question worth separating out:
Q: How should teams balance deterministic analysis and agentic reasoning in application security?
A: Teams should use deterministic analysis as the always-on baseline and reserve agentic reasoning for flaw classes that depend on intent, policy or cross-file context. The two approaches solve different problems. Deterministic SAST gives repeatable precision, while agentic scans extend coverage into gaps that rules cannot easily express.
👉 Read our full editorial: Deterministic SAST still matters as agentic code scanning expands