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.
Vendor-neutral coverage
Galen© is designed to work across different development workflows, AI-assisted review tools, code repositories, API environments, AI agents, and customer security processes. Telhawk is not positioned around one model, one scanner, or one platform. Galen© provides a proof-backed evidence layer that can support security review across multiple inputs and delivery models.
Security surfaces Galen© can help review
Routes, handlers, guards, and sensitive operations.
Authorization, tenancy, and input validation.
Code drafted by AI coding tools and agents.
Tools, permissions, prompts, and operational behavior.
Role boundaries and privilege escalation paths.
Sensitive data movement across services and storage.
Submitted fixes reviewed for whether the risky path is closed.
Targeted review of the code intended for release.
Embedded validation
Galen© is designed to support validation after correction, not just initial finding generation. Once a fix, configuration change, permission update, or agent-workflow change is submitted, the review process can evaluate whether the risky path appears to be closed and preserve that validation status in the audit record.
This helps teams move from possible findings to documented security outcomes across direct, managed, embedded, and partner workflows.
From findings to results
Security teams do not need more disconnected alerts. They need evidence, priority, remediation direction, validation status, and documentation. Galen© helps organize those pieces so AI-assisted security review can move from raw findings to proof-backed results.
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.