TelhawkTELHAWK
Solutions · Gemini

Gemini Security Validation

Prove, prioritize, remediate, and validate Gemini security findings — without locking your AppSec program to a single AI vendor.

Vendor-neutral by design

Telhawk works across frontier AI systems.

Gemini is widely used for code review, security analysis, and AI agent workflows. Telhawk and Galen© turn its outputs into proof-backed, validated security outcomes.

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

Volume vs signal
Large outputs may include duplicate or low-value findings that consume review time.
Context boundaries
Findings across files, services, and tenants need structured evidence to be actionable.
Confidence without proof
Raw LLM output rarely includes a verifiable exploit path.
Framework alignment
Remediation must respect the actual auth, routing, and data model in production.
Validation
Fixes must be proven to close the vulnerable path, not just edited.
Audit evidence
Security leaders need durable, exportable artifacts for review.
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

  1. 1Ingest findings from AI scanners, audits, agents, and existing tools.
  2. 2Galen© attaches proof: code paths, data flows, missing guards, and permissions.
  3. 3Findings are prioritized by exploitability and business impact.
  4. 4Remediation guidance is generated with contextual fix recommendations.
  5. 5Corrections are validated to confirm the vulnerable path is closed.
  6. 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.

Talk to an Expert See How Galen© Works