AI Security & Compliance Review
A systems-level review of AI-driven products to identify security risks, misuse vectors, and compliance gaps
This is not a penetration test or automated scan.
This is architectural and systemic risk analysis for production AI systems.
Is This the Right Fit?
Good Fit If:
- ▸You're deploying LLMs, ML models, or AI workflows in production
- ▸AI features are used by real users or enterprises
- ▸You care about prompt injection, data leakage, or model misuse
- ▸Future regulatory or enterprise scrutiny is a real concern
Not a Fit If:
- ▸Products with no AI components
- ▸Early prototypes with no real users
- ▸You want automated vulnerability scans only
- ▸You want penetration testing or bug bounty work
This review is for teams with production AI systems facing real security, misuse, or compliance pressure.
What we review
AI Threat Surface
Model misuse, prompt injection, data leakage, adversarial inputs, unsafe outputs
System Boundaries
Trust boundaries, permissions, auth flows, data access patterns around AI components
Compliance & Governance
Logging, traceability, audit trails, model versioning, policy enforcement
Operational Safety
Monitoring, rollback mechanisms, guardrails, rate limits, fallback behavior
This is not a penetration test or automated scan—it's a systems-level review of how your AI components fit into your architecture.
How it works
Intake
~30 minutes
You share: architecture, where AI sits, what models/tools you use, what data they touch.
Review
~1 week
I review your architecture, analyze AI threat surface, evaluate system boundaries, compliance gaps, and operational risks.
Delivery
~1 hour
You get: written report with prioritized findings, walkthrough call, clear next steps.
Simple, focused, no fluff. You walk away with a clear understanding of your AI security posture and concrete steps to improve it.
What you get
Security review document
risk-prioritized findings with remediation steps
Threat surface analysis
AI-specific attack vectors and misuse scenarios
Compliance gap assessment
logging, traceability, and governance requirements
Live walkthrough session
with security and technical leadership
All findings are actionable, risk-prioritized, and specific to your system—no generic recommendations.
Ready to secure your AI system?
The first step is a short exploratory call to confirm fit. If it's not a good match, I'll say so directly.
Request a conversation
Share your AI system context and security concerns
Exploratory call
We'll determine if this security review makes sense
Review begins
If we're aligned, we'll schedule the engagement
This is not a sales call — it's a fit check.
Request a Security Review →This is a paid, senior-level engagement
I typically take on a limited number of reviews at a time to stay deeply involved.