Managed Security Audit

White-glove, proof-backed security audits performed by Telhawk experts.

Telhawk experts review your code, APIs, AI agents, access paths, and remediation efforts using Galen©, Telhawk's proprietary proof engine, and the latest AI LLMs. The result is not just a list of possible issues. You receive proof-backed findings, prioritized remediation direction, validation support, and an audit-ready report that shows what was found, why it matters, and whether corrections worked.

AI-assisted threats

Worried about attackers using AI to find weaknesses first?

Attackers are already using AI and LLM-assisted workflows to search for vulnerable code paths, weak access controls, exposed APIs, risky agent behavior, and sensitive data flows. Telhawk's Galen© engine is designed to help customers use AI defensively — with structured security evidence, expert review, proof-backed findings, remediation direction, and validation that corrections worked.

The goal is simple: use stronger AI-assisted security review to find, prove, prioritize, and fix risks before attackers exploit them.

Defensive AI advantage

Telhawk helps customers beat attackers at their own AI game — pairing Galen©'s evidence layer and the latest AI with expert review, so security teams operate with better context, not more noise.

A completed security outcome, not another tool to operate.

Many AI security tools and scanners produce findings that still require your team to investigate, prioritize, fix, retest, and document. Telhawk Managed Security Audit is designed for customers who want Telhawk experts to perform the review and deliver a completed security outcome.

The audit focuses on proving what is real, explaining why it matters, helping guide the correction, and validating whether the issue was resolved after remediation.

What we can audit

Application code

Review security-relevant code paths, business logic, authentication behavior, authorization checks, data handling, and risky workflows.

APIs and endpoints

Evaluate routes, handlers, request parameters, authentication behavior, authorization controls, and data-access paths.

AI agents

Review agent permissions, tool access, prompt-injection exposure, unsafe tool use, excessive autonomy, weak role boundaries, logging, and risky integrations.

Access and permission paths

Assess whether users, systems, tenants, or agents can access data or actions they should not be able to reach.

Sensitive data flows

Trace how sensitive data moves through code, APIs, services, agents, databases, and external integrations.

Remediation and fix validation

Review corrected code, configuration changes, permission updates, or agent behavior changes to help determine whether the risky path was closed.

Production-designated code versions

Review the version of code intended for deployment, release, diligence, enterprise review, or customer-facing assurance.

Best for

Common customer scenarios where a Telhawk Managed Security Audit fits.

Enterprise customer requirements
For SaaS companies and platforms preparing for enterprise procurement, vendor security review, or customer diligence.
High-stakes code or API review
For applications with sensitive data, payment flows, regulated workflows, account access, administrative functions, or customer-facing APIs.
AI agent deployments
For companies deploying AI agents with access to tools, customer data, APIs, files, repositories, databases, or operational workflows.
Financing, acquisition, or diligence events
For companies that need stronger evidence of security posture before investor review, acquisition review, enterprise sale, or major partnership discussion.
AI-generated finding overload
For teams that already have AI-generated or scanner-generated findings and need help determining what is real, what matters, and what was actually fixed.
Teams that want an outcome
For organizations that do not want to operate another security tool and instead want Telhawk to deliver proof-backed findings, remediation direction, validation support, and reporting.

How the audit works

  1. 01
    Scope

    Telhawk confirms the systems, repositories, APIs, agents, workflows, or remediation items to be reviewed.

  2. 02
    Evidence mapping

    Galen© helps map security-relevant paths, data flows, permissions, missing controls, API behavior, agent access, and remediation context.

  3. 03
    Expert review

    Telhawk experts review the evidence, prioritize issues, and separate meaningful risk from unsupported noise.

  4. 04
    Remediation direction

    Customers receive prioritized findings with explanation, affected paths, risk context, and suggested remediation direction.

  5. 05
    Validation and reporting

    After corrections are submitted, Telhawk can review the updated code, configuration, permission change, or agent behavior and provide validation status in the final report.

What you receive

Proof-backed findings with affected code path, API route, agent behavior, permission issue, data flow, or missing control.
Prioritized risk ranking so teams know which issues matter most.
Remediation guidance explaining what should be corrected and why.
Proposed corrections where appropriate, without promising automated fixes in every case.
Validation of corrected code or configuration after fixes are submitted for review.
Executive-ready summary for leadership, investors, customers, or diligence reviewers.
Technical detail for developers and security teams.
Exportable audit-ready report that preserves evidence, remediation direction, and validation status.

Why this is different from AI / LLM-assisted workflows or basic scans

A raw scan or AI-generated finding list can leave teams with more work than answers. Telhawk Managed Security Audit is designed to reduce that burden by connecting findings to evidence, priority, remediation direction, validation status, and reporting.

Scanner or raw AI output
Often produces possible findings that still require manual triage, proof, prioritization, remediation, retesting, and documentation.
Telhawk Managed Security Audit
Provides expert-led review supported by Galen©'s evidence layer, helping customers understand what is real, what matters, what to fix, and whether the correction worked.
Customer value
Less time sorting through unsupported findings and more confidence moving from security review to validated remediation.

Pricing

Code / API Review
Starting at $10,000
AI Agent Review
Starting at $4,000

Final pricing depends on scope, urgency, number of systems, number of APIs, number of agents, data sensitivity, remediation support, validation cycles, and reporting requirements.

A short scoping discussion helps determine the appropriate audit type, review depth, timeline, and validation needs.

Request a Managed Audit

Tell us what you need reviewed, what deadline you are working toward, and whether the audit is for internal security, enterprise customer review, diligence, AI-agent deployment, or remediation validation.

Request a Managed Audit