Partner with Telhawk to turn AI security review into trusted outcomes.

Customers are writing more code with AI, deploying more APIs, experimenting with AI agents, and receiving more scanner and LLM-generated findings than their teams can easily prove, prioritize, fix, and validate. That creates a new opportunity for partners.

Partners that can help customers move from possible findings to validated security outcomes can offer more value than basic scans, generic assessments, or raw AI output.

Telhawk is interested in partnerships with platforms that want to improve how AI systems review code, APIs, AI agents, and AI-generated software.

Frontier AI systems can generate thousands of potential security findings. That creates a major customer problem: every finding still needs to be proven, prioritized, remediated, validated, and documented.

Galen© helps reduce that backlog by turning AI-generated findings into structured security evidence around affected paths, data flows, missing controls, permission boundaries, remediation context, and validation status.

Galen© can also help LLM-assisted security review surface more real findings by giving AI systems better structured evidence to reason from. Better context can help models identify security issues they might otherwise miss, while also reducing unsupported noise and making findings easier to validate and remediate.

For AI platforms, Galen© can help make security-review output more actionable. For customers, it helps move from finding overload to validated security outcomes.