From AI findings to validated security outcomes.
A complete workflow built around proof, not alert volume.
Galen is Telhawk's proof engine for AI security.
Galen is the proprietary security engine behind Telhawk. It helps turn code, APIs, AI agents, access paths, and AI-generated software into structured security evidence that AI-assisted review can use to produce clearer, more actionable results.
Most AI security tools can generate findings. Galen is designed to help prove which findings matter.
Galen analyzes security-relevant relationships such as code paths, API routes, data flows, permission boundaries, missing guards, agent tool access, and remediation status. Instead of leaving teams with a long list of possible issues, Galen helps organize the evidence needed to understand what is real, why it matters, how to fix it, and whether the correction worked.
Galen helps connect a finding to the affected code path, API, data flow, permission boundary, or agent action.
Galen helps show the security impact, including what data, system, user role, or workflow may be affected.
Galen helps provide remediation context so teams can move from finding discovery to practical correction.
Galen helps validate whether the risky path, missing guard, or unsafe access condition was corrected.
- Raw findings
- More manual triage
- Unclear proof
- Harder prioritization
- Fixes still need validation
- Structured evidence
- Clearer security context
- Proof-backed findings
- Remediation guidance
- Validation after correction
Galen gives AI security review the structured evidence it needs to move from possible issues to validated outcomes.
The full Galen workflow
Define the systems, code, APIs, agents, and risk questions in scope.
Provide repository, endpoint, or agent context to ground analysis.
Galen maps routes, handlers, permissions, data flows, and guards.
Each finding includes the affected path, missing control, and supporting evidence.
Findings are ordered by exploitability, exposure, and business impact.
Concrete, contextual recommendations developers can act on.
Proposed corrections and review of developer-authored fixes.
Galen re-evaluates the code to confirm the vulnerable path is closed.
Durable, audit-ready evidence packages for stakeholders and reviewers.
Finding history and governance over AI-assisted development.