Gecko Security vs ZeroPath: Which is Better? (April 2026)

When you're comparing Gecko and ZeroPath, the real question is which tool gives you findings you can actually act on. Gecko ingests runtime data, architecture diagrams, and design documents alongside code, so every finding comes with proven exploitability conditions, a Proof of Concept, and mapped business impact, each backed by real evidence beyond a raw code location. Gecko also uses language servers to resolve complex call chains in dynamically typed languages like Python and JavaScript, where objects shift at runtime and AST-based parsing loses the thread entirely. That accuracy is what lets Gecko scan across microservices and multi-repo architectures, including repos that import shared libraries, catching vulnerabilities single-repo tools miss. Broken access control tops the OWASP list at 100% of tested applications: the question is whether you need five tools in one dashboard or a purpose-built system that proves each finding before it reaches your team.

TLDR:

• Gecko uses Code Property Graph indexing with language servers to resolve complex call chains in dynamically typed languages like Python and JS that AST-based tools can't handle
• Gecko ingests runtime data, architecture diagrams, and design documents so every finding includes exploitability conditions, a Proof of Concept, and mapped business impact
• Gecko scans across microservices and multi-repo architectures, including repos that import shared libraries, catching vulnerabilities single-repo tools miss entirely
• Gecko caught Cal.com account takeovers and broken access control missed by existing tools and manual penetration tests
• Gecko delivers 50% fewer false positives through semantic code understanding vs AST parsing

What is ZeroPath?

ZeroPath is an AI-native application security tool that takes a multi-tool approach to code security. The product combines static application security testing with software composition analysis, secrets detection, and Infrastructure as Code scanning.

ZeroPath uses LLMs to analyze codebases for vulnerabilities, targeting technical issues like SQL injection and cross-site scripting alongside authentication problems and business logic flaws. The tool focuses on speed and developer workflow integration.

The system runs pull request scans that complete in under 60 seconds on average. This quick turnaround gives developers security feedback during code review instead of after deployment. ZeroPath integrates with version control systems to automatically scan new code as it enters the repository.

Their SAST capability functions as one component within this broader security suite, positioning ZeroPath as a general-purpose application security tool instead of a specialized solution.

What is Gecko Security?

Gecko Security is an AI-native SAST tool built to find business logic vulnerabilities that other scanners miss. We focus on broken access control, authorization bypasses, privilege escalation, IDOR, and missing permission checks across your codebase. Every finding comes with proven exploitability conditions, a Proof of Concept, and mapped business impact, grounded in context Gecko pulls from outside the application layer: runtime telemetry, architecture diagrams, API specs, and design documents.

The difference comes from how we analyze code. Instead of pattern matching or traditional abstract syntax tree parsing, Gecko uses a Code Property Graph backed by language servers to build semantic understanding of your application. Language servers give us accurate type information and call chain resolution in dynamically typed languages like Python and JavaScript, where objects can mutate at runtime and AST-based tools frequently misattribute or miss call chains entirely. This compiler-accurate approach tracks how data flows across files, repositories, and services while preserving the context that matters for security decisions.

We've found 30+ CVEs in major open source projects like Cal.com, Ollama, and N8N by catching vulnerabilities that slipped past existing tools and manual penetration tests. These weren't injection flaws or missing input validation. They were authorization logic errors, missing permission checks, and multi-step vulnerability chains that require understanding what the code is supposed to do, beyond what it says.

Detection Approach and Technical Architecture

ZeroPath performs source-to-sink taint analysis using AI-generated abstract syntax trees. The tool tracks untrusted data through application code to detect injection vulnerabilities, deserialization issues, and command execution flaws across 15+ programming languages. This approach works well for syntactic vulnerabilities where the problem is malicious data reaching a dangerous function. ZeroPath covers multiple security areas including secrets detection, dependency scanning, and Infrastructure as Code misconfigurations.

AST-based analysis faces a structural limitation: it only captures code syntax within individual files, not semantic relationships across systems. This limitation is sharpest in dynamically typed languages like Python and JavaScript, where objects can change shape at runtime. AST parsers see a snapshot of structure, not actual runtime types, so call chains that depend on how objects mutate get misattributed or dropped entirely, and cross-service vulnerabilities go undetected. Static analysis struggles with business logic for precisely this reason. ZeroPath doesn't document capabilities for cross-microservice analysis or infrastructure context integration.

Gecko uses Code Property Graph indexing with LSIF to build a semantic model of your application. We combine language-specific tools to parse and type-check code, recording where symbols are defined, where they're referenced, and how functions connect across your entire codebase. Language servers are central to this: they give Gecko compiler-accurate type resolution even in dynamically typed languages like Python and JavaScript, where objects can change shape at runtime. AST-based tools lose the thread when call chains depend on runtime-mutated types, but Gecko resolves them correctly, which is what lets us trace call chains across microservices and multi-repo architectures, including repos that import shared libraries. This semantic indexing answers questions taint analysis can't: Does any execution path to this database query include an authorization check? Where does user context get dropped between service layers?

Gecko also ingests context from outside the codebase itself. Runtime telemetry, architecture diagrams, and design documents feed into the analysis alongside code, giving us the full picture of how the application is supposed to behave and who should be able to do what. Every finding ships with proved exploitability conditions, a Proof of Concept, and a mapped business impact statement, with real context beyond a bare code location. Your team receives findings they can act on immediately, with the evidence to understand exactly what is at risk.

We maintain a false positive rate around 20 percent because the reasoning happens on accurate information about code behavior, grounded in semantic models, runtime context, and external documentation, not pattern matching.

Business Logic Vulnerability Detection

ZeroPath identifies business logic flaws through pattern matching enhanced by AI reasoning. The tool detects missing authentication checks, IDOR vulnerabilities, race conditions in payment flows, authorization bypass paths, and weak cryptography. Because SAST functions as one module within ZeroPath's multi-feature offering, the depth of business logic analysis remains limited. ZeroPath doesn't document cross-service vulnerability chaining or provide published examples of complex multi-step business logic flaw detection in real codebases.

Broken Access Control affects 100% of applications according to OWASP 2025, making it the top security risk facing teams today. This is precisely what Gecko was built to solve. Solving it means proving each finding before it reaches your team, with a working exploit and a clear statement of what is at risk.

Gecko uses a three-phase methodology that replicates how human penetration testers work: threat modeling to identify attack scenarios specific to your application, vulnerability analysis to validate exploitability, and proof-of-concept development to verify the finding. This approach caught a Cal.com account takeover via three-bug chain through username validation bypass combined with organization-scoped validation flaws. That same audit found broken access control on _-prefixed routes, exposing all booking data and user records.

Both vulnerabilities had passed through existing security tooling and manual testing. Gecko caught them because our semantic understanding lets us infer what developers intended by analyzing UI patterns and similar API functions, then flag where actual implementation violates that intent. The result: findings your team can act on the same day, backed by the evidence to understand the full blast radius.

Microservice and Distributed Architecture Analysis

Microservice architectures create a specific challenge: vulnerabilities often exist not in individual services but in how those services interact. When authorization happens at a gateway but data services skip validation, or when user context gets lost between layers, you need tools that can trace across boundaries.

ZeroPath scans multiple programming languages and integrates with GitHub, GitLab, and Bitbucket for automated reviews. The tool analyzes single repositories well but doesn't document cross-microservice tracing capabilities. AST-based analysis captures code structure within files, not the semantic relationships between services.

Gecko parses OpenAPI specs, protobuf schemas, AsyncAPI definitions, and route decorators to map how services connect. We link HTTP clients to REST endpoints, connect gRPC clients to service definitions, and trace message publishers to subscribers. Our semantic graph extends across repositories, including repos that import shared libraries, so call chains into library code are followed across repo boundaries and authorization gaps in shared utilities don't go undetected.

In dynamically typed languages like Python and JavaScript, language servers give Gecko compiler-accurate type resolution at analysis time. When objects mutate between service layers, AST-based tools lose track of call chains entirely. Gecko resolves types correctly, which is what lets us catch cross-service vulnerabilities that depend on how data actually flows through a system, beyond what the syntax reveals in a single file.

We've found IDOR vulnerabilities where user validation happened at the gateway but not at the data service, and privilege escalation through service-to-service calls that single-repository tools miss entirely.

False Positives and Developer Experience

ZeroPath cuts down false positives and delivers automated fixes with vulnerability reports scored by CVSS 4.0. The tool provides remediation guidance through code fix suggestions that submit as pull requests. However, ZeroPath uses AI reasoning on top of traditional AST generation, inheriting the false positive challenges of pattern-based scanning. One independent security researcher found ZeroPath completely failed at understanding macros in C and C++, resulting in many false positives and duplicate vulnerabilities both on single runs and across multiple runs.

Gecko reduces false positives by 50% compared to traditional SAST through semantic understanding. Our findings come with context about why they matter in your specific environment because we understand code meaning and intent beyond structure. We automatically generate proof-of-concept exploits that verify exploitability, building developer confidence that findings represent real vulnerabilities.

Our compiler-accurate semantic graph means developers trust that Gecko understands their codebase the same way an IDE does. This trust translates to faster remediation velocity and less friction between security and development teams.

Why Gecko Security is the Better Choice

ZeroPath serves teams focused on vendor consolidation and needing broad security coverage including secrets detection, dependency scanning, and IaC security in one dashboard. If you need five tools managed through one interface, ZeroPath delivers that convenience.

If business logic vulnerabilities represent your highest risk, a feature within a multi-tool differs from a system built to detect those vulnerabilities. Two things separate Gecko from AST-based scanners. First, language servers give Gecko compiler-accurate type resolution in dynamically typed languages like Python and JavaScript, where objects shift at runtime and AST-based tools lose complex call chains entirely. Second, Gecko ingests runtime telemetry, architecture diagrams, and design documents alongside code, so findings arrive with proved exploitability conditions, a Proof of Concept, and a mapped business impact statement. You get evidence, with full context beyond a bare code location.

That accuracy is what lets Gecko trace call chains across microservices and multi-repo architectures, including repos that import shared libraries, catching authorization gaps single-repo tools miss. Every finding is proved before it reaches your team. Broken Access Control tops the OWASP list affecting 100% of tested applications, and Gecko was purpose-built for exactly this.

We reduce false positives by 50% because our reasoning happens on accurate semantic models, not pattern matching. Security teams drowning in alert fatigue need tools that understand code intent, not structure.

Choose ZeroPath if you're consolidating vendors. Choose Gecko if you're preventing the breaches that actually happen.

Final Thoughts on Application Security Approaches

The difference between these security tools reflects two philosophies about finding vulnerabilities. You get broader scanning with ZeroPath, covering secrets and dependencies alongside code analysis. Gecko targets the authorization vulnerabilities that traditional SAST misses, using semantic understanding to catch flaws across your microservices. Pick the tool that solves the risks actually affecting your applications.

FAQ

How should I decide between Gecko Security and ZeroPath for my team?

Your decision should center on your primary security risk. If broken access control, authorization bypasses, and business logic flaws represent your biggest threat (and OWASP data shows they affect 100% of tested applications), Gecko's purpose-built semantic analysis will catch vulnerabilities that AST-based tools miss. If you're focused on vendor consolidation and need secrets detection, dependency scanning, and IaC security in one dashboard, ZeroPath's multi-tool approach delivers that convenience.

What's the core technical difference between how Gecko and ZeroPath analyze code?

ZeroPath uses AI-enhanced taint analysis on abstract syntax trees to track untrusted data through your code, which works well for injection vulnerabilities. Gecko builds a Code Property Graph backed by language servers that give compiler-accurate type resolution, including in dynamically typed languages like Python and JavaScript, where objects can change shape at runtime and AST-based tools frequently lose the thread on complex call chains. This lets Gecko answer questions AST analysis cannot, like "Does any execution path to this database query include an authorization check?" That difference directly determines which vulnerability types each tool can find.

Which tool is better for microservice architectures?

Gecko was built for distributed systems. We parse OpenAPI specs, protobuf schemas, and AsyncAPI definitions to trace call chains across service boundaries, catching vulnerabilities like authorization checks at gateways but not at data services. Our semantic graph also extends across multiple repositories, including repos that import shared libraries, so call chains into library code are followed across repo boundaries and authorization gaps in shared utilities don't go undetected. ZeroPath scans multiple languages and repositories but doesn't document cross-microservice tracing capabilities or cross-repo library analysis.

Will I face false positive overload with either tool?

Gecko reduces false positives by 50% compared to traditional SAST because our reasoning happens on semantic models that understand code intent, beyond structure. We verify findings with automatically generated proof-of-concept exploits. ZeroPath applies AI reasoning on top of traditional AST generation, which inherits pattern-matching false positive challenges. Independent researchers have documented issues with duplicate findings and misunderstanding language-specific features like C macros.

How difficult is it to get started with each tool?

Both tools integrate with GitHub, GitLab, and Bitbucket for automated scanning. ZeroPath runs pull request scans in under 60 seconds on average and provides a single dashboard for multiple security functions. Gecko requires no build process and works across polyglot architectures, but the real onboarding question is whether your team has the context to act on business logic findings. Our automatically generated PoCs and detailed vulnerability explanations help bridge that gap.