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01/08/2026 10:49 pm
TL;DR: Gecko argues that business logic flaws, broken access control, and cross-service authorization gaps need semantic analysis, runtime context, and proof of exploitability, while ZeroPath focuses on broader SAST, secrets, SCA, and IaC coverage; the comparison is drawn from Gecko Security’s analysis. The governance question is no longer which scanner is fastest, but which control model can prove intent, trace distributed call chains, and reduce false positives in complex applications.
NHIMG editorial — based on content published by Gecko Security: Gecko Security versus ZeroPath
By the numbers:
- Gecko Security says it reduces false positives by 50% compared with traditional SAST through semantic code understanding.
- Gecko says it has found 30+ CVEs in major open source projects like Cal.com, Ollama, and N8N.
Questions worth separating out
Q: How should security teams choose between semantic code analysis and AST-based scanning?
A: Choose semantic analysis when your highest-risk defects involve authorization logic, shared libraries, microservices, or runtime-dependent call chains.
Q: Why do broken access control issues survive normal application security testing?
A: They survive because many tools look for patterns inside a single file or repository, while the failure often lives in how multiple functions or services enforce the same rule differently.
Q: What do security teams get wrong about false positives in code scanning?
A: They treat false positives as a nuisance metric instead of a control-quality signal.
Practitioner guidance
- Prioritise semantic analysis for authorization-heavy systems Use a semantic scanner on services where broken access control, IDOR, and multi-step privilege escalation are the dominant risks.
- Require exploitability evidence for every high-severity finding Reject findings that do not include a proof of concept, a clear exploitability condition, and an explanation of business impact.
- Review authorization at service boundaries Map where gateway checks end and downstream enforcement begins, then verify that the same user context and permission logic survive each hop.
What's in the full article
Gecko Security's full comparison covers the operational detail this post intentionally leaves for the source:
- Concrete examples of the code-property-graph workflow used to trace cross-service call chains
- Detailed descriptions of the proof-of-concept generation process for exploitability validation
- Side-by-side product workflow examples for distributed repositories and shared library analysis
- Operational output examples showing how business impact is mapped to each finding
👉 Read Gecko Security's comparison of semantic analysis and AST-based scanning →
Gecko Security versus ZeroPath: what changes for appsec teams?
Explore further
01/08/2026 10:57 pm
Semantic authorization failure is the real category problem: business logic breaches happen when tools see code structure but not the intended access model. That is why application security teams need analysis that can prove whether permissions are actually enforced at the point of use, not merely declared in the codebase. The difference matters across IAM, PAM, and application security because broken access control is often an identity failure expressed in code. Practitioners should treat semantic verification as the baseline for distributed authorization review.
A question worth separating out:
Q: How should teams respond when a scanner can prove exploitability in a distributed system?
A: They should route the finding into the same remediation path used for confirmed access-control defects, not a generic backlog. A proven exploit path means the issue already crosses the line from theoretical weakness to actionable risk. The right response is to fix the permission boundary, then retest the chain end to end.
👉 Read our full editorial: Gecko Security versus ZeroPath: why semantic code analysis matters
