Enterprise AI Governance, Security & Red Teaming Audit
Adversarial red-team, algorithm audit, and governance framework.
For large enterprises, healthcare networks, financial institutions, and government contractors with custom AI deployments already in production — where getting the governance wrong carries regulatory and reputational cost.
Fit criteria.
- +Enterprises with 500+ employees and existing AI systems
- +Regulated industries: healthcare, finance, gov contracting
- +Boards asking for a defensible AI risk position
- +Organizations preparing for external AI audits
Scope of work.
Delivery cadence.
Legal, compliance, and technical scope-lock. Access provisioning, threat-model briefing.
Adversarial testing across models, prompts, integrations, RBAC boundaries.
Policy framework, audit-logging specs, remediation plan.
C-suite presentation, technical handoff, executive sign-off.
What ships.
- →Adversarial red-team report
- →Algorithm & bias audit
- →Enterprise AI usage policy framework
- →Governance & Risk Matrix
- →Security Remediation Plan
- →C-Suite presentation deck
What you should expect.
- ↗Regulator-defensible AI governance posture
- ↗Documented adversarial-testing evidence
- ↗Direct path to a Tier 3 Fine-Tuned Appliance engagement
Why AI Risk & Compliance Audit matters right now.
AI risk is board-level. Insurers are pricing AI incidents. Regulators are catching up. Companies without documented AI governance are one incident away from a headline event.
Every AI system you deploy without a documented risk register is legal exposure. One data-leak headline can cost more than 100x the audit fee in remediation + PR + churn.
Cost vs. value — do the math.
What you actually get.
- Adversarial red-team report
- Algorithm & bias audit
- Enterprise AI usage policy framework
- Governance & Risk Matrix
Typical payback trigger: regulator-defensible ai governance posture.
Why now — not next quarter.
The EU AI Act took full effect in 2026. Board committees are asking for AI governance quarterly. If you don't have documented answers, you're already behind.
Common questions.
Can findings be shared with external auditors?
Yes — deliverables are designed for external audit disclosure and regulator conversations.
Do you work with our existing MLOps team?
Yes — we integrate with your internal teams rather than replacing them. The audit is a force-multiplier, not a takeover.
Turnkey On-Prem Appliance & Custom Fine-Tuning
$3,500 – $5,000 / mo
For regulated enterprises where cloud AI is a non-starter.
Comprehensive AI Architecture & Security Audit
$8,500 – $15,000
Deep-dive on security posture, data readiness, integration potential.
Book Discovery Call.
Founder-sponsored scoping. No sales-team gauntlet.