Solutions · Frontier LLMs

Frontier LLM Security Testing

Proof-backed security validation across GPT-5.5, Claude Mythos, Fable 5, Gemini, open-source models, and autonomous agents.

Vendor-neutral by design

Telhawk works across frontier AI systems.

Frontier LLM deployments span multiple vendors, prompts, tools, and data sources. Telhawk and Galen© deliver a vendor-neutral way to test, validate, remediate, and document security findings.

Telhawk is not tied to any single model vendor. We help validate, remediate, and document security findings across GPT-5.5, Claude Mythos, Fable 5, Gemini, open-source models, and autonomous AI agents.

Common security challenges

Multi-model environments

Security programs must cover several models simultaneously, each with different behaviors.

Prompt and chain attacks

Injection, jailbreaks, and chained tool use require structured evidence to evaluate.

Sensitive data exposure

Retrieval and tool integrations can leak data without strict scoping.

Inconsistent findings

Different models surface different issues; teams need a unified validation layer.

Compliance pressure

Customers and regulators expect durable, exportable security evidence.

Backlog overload

Raw findings turn into months of work without prioritization and validation.

From overload to validated outcomes

AI-generated findings overload is the new bottleneck.

Modern AI security tools can generate thousands of findings. Without proof, prioritization, remediation context, and validation, those findings turn into a backlog instead of an outcome.

Validation and remediation workflow

1Ingest findings from AI scanners, audits, agents, and existing tools.
3Findings are prioritized by exploitability and business impact.
4Remediation guidance is generated with contextual fix recommendations.
5Corrections are validated to confirm the vulnerable path is closed.
6Audit-ready evidence packages are produced automatically.

Evidence generation and audit readiness

Proof-backed findings tied to specific code and data paths

Prioritized remediation queue with exploitability context

Validated fixes with before-and-after evidence

Exportable audit-ready reports

Finding history and remediation timeline

Coverage across models, agents, APIs, and code

Weeks or months of work, completed in hours.

Telhawk and Galen© turn raw AI findings into proof-backed, prioritized, remediation-ready outcomes with validation and audit-ready evidence.