Compare
Raw AI findings vs proof-backed Telhawk results.
AI can find possible issues. Telhawk helps prove what is real, prioritize what matters, guide the fix, and validate the correction.
Raw AI / LLM scan
- Produces many possible findings
- May miss relationships across routes, handlers, permissions, and data flows
- May hallucinate issues
- May identify possible risk without proving exploitability
- May suggest fixes without validation
- May create a large remediation backlog
- May lack durable audit-ready evidence
Telhawk + Galen
- Produces proof-backed findings
- Shows affected code path
- Shows security-relevant data flow
- Identifies missing guard or control
- Provides remediation context
- Supports prioritization
- Validates whether correction worked
- Preserves exportable reporting and finding history
Side-by-side example
Raw AI
"Potential authorization issue in billing endpoint."
Telhawk
"Cross-customer invoice access: customer_id reaches invoice lookup without ownership validation. Missing tenant guard. Recommended correction: scope invoice lookup to authenticated tenant. Validation status: fixed after corrected query."