Most security tools catch ~20% of real vulnerabilities. We catch 65%.
Because we understand what your code does, not just what it looks like.
Pattern-matching tools miss vulnerabilities that require understanding data flow, business logic, or context.
Typical detection rate on real-world CVEs:
The other 80% ship to production.
Multi-file vulnerabilities, complex data flows, authorization bugs, business logic flaws — anything that requires understanding what the code actually does.
40% of AI-generated code contains vulnerabilities (Stanford, 2023). Traditional tools can't keep up. Manual review doesn't scale.
Proven on the hardest tests in the industry
Multi-file, cross-function vulnerabilities from production codebases.
The benchmark most tools score lowest on.
2,740 test cases
NIST standard
Stanford suite
Think of it as having a brilliant engineer who can read your entire codebase and reason about what it does — then verify that reasoning mathematically.
Understands code intent, semantics, and context. Tracks data flow across functions and files like a human reviewer.
Provides deterministic structure, data flow graphs, and formal proofs. Ensures precision and eliminates false positives.
Our proprietary intermediate representation bridges the gap between AI understanding and formal verification. Built on research from the IRIS paper.
Find vulnerabilities that require semantic understanding: SQL injection, XSS, SSRF, IDOR, authorization bugs.
Catches multi-file vulnerabilities that traditional tools miss
Prove correctness: logic errors, edge cases, race conditions, invariant violations, state management bugs.
Mathematical guarantees about your code's behavior
Optimization that preserves functionality: N+1 queries, memory leaks, bottlenecks, inefficient algorithms.
Make code faster without breaking it
Currently supporting Java & JavaScript/TypeScript. Python & Go coming soon.
Join the waitlist for early access. We're starting with a limited beta for developers who want to ship secure code faster.
No spam. We'll only email you when we're ready for beta testers.
Your code stays private — processed using your own API keys.