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AI Threat Modeling & Governance

See where AI actually puts your business at risk — then close the gap.

Most companies adopt AI faster than they can govern it. We map the AI threat landscape specific to your systems, then build the governance framework that keeps you compliant, defensible, and trusted.

The AI threat landscape

Six risk vectors we see most often in client environments — each one is a place an attacker, a regulator, or a bad model decision can hurt you.

Prompt Injection

Malicious input hijacks model behavior.

Data Poisoning

Corrupted training or retrieval data.

Shadow AI

Unapproved AI tools used without oversight.

Model & IP Theft

Exfiltration of proprietary models or data.

Adversarial Inputs

Inputs crafted to fool model outputs.

Third-Party Model Risk

Vendor and API-model supply chain exposure.

Our consultants run a structured threat-modeling engagement against your actual AI stack, then prioritize fixes by business impact — not a generic checklist.

Your AI Stack Prompt Inj. Data Poison Shadow AI IP Theft Adversarial 3rd-Party

AI Governance & Risk Management

Responsible AI starts with governance. We help you establish frameworks that address security, compliance, privacy, ethics, and regulatory requirements — evaluating your AI systems, identifying risk, and building policy that actually gets followed.

Free Tool

Try the AI Governance Posture Check

A free, self-serve assessment of where your organization stands on AI governance today. Takes about five minutes.

Demo link is set in Appearance → Customize → Site Contact & Links, so you can swap it any time without editing code.

AI Threat & Governance infographic — threat landscape, governance pillars, and our four-step process

Click to view full size, or get a copy emailed to you.

Get the infographic + book time

We'll send the infographic and follow up to find a time that works.