Services · Secure

Know your AI exposure — and exactly what to do about it.

Every AI deployment creates new questions legal and security teams are being asked to answer without a map. We identify security, privacy, and compliance risks across your AI stack and deliver a remediation roadmap ranked by exposure — so you know what to fix first and what can wait.

2–3 wk
Typical assessment
Full stack
Models, vendors, data flows
Ranked
Remediation by exposure
The problem

Everyone's asking about AI risk.
Nobody has the map.

Boards want assurance, regulators want documentation, and customers want answers about how AI touches their data. Meanwhile the AI stack grew bottom-up: tools adopted team by team, vendors added without review, data flowing to models nobody inventoried. The people accountable for the risk have the least visibility into it.

You can't remediate what you haven't mapped. An assessment turns a vague sense of exposure into a concrete list — what you're running, where the risk sits, and the order to fix it in.

What you get

A register your team can work.
A summary your board can read.

We inventory every model, tool, and vendor in your AI stack, trace how data moves through it, and score each risk by exposure.

01

Full-stack AI risk assessment

Structured interviews, system review, and data flow tracing across everything AI in your organization — the sanctioned deployments and the tools nobody registered. Every risk lands in a register with an owner, an exposure score, and a recommended fix, sequenced into a roadmap you can actually staff.

Scope an assessment →
  • Complete AI stack inventory
  • Security, privacy, and compliance risk register
  • Data flow and retention review
  • Vendor and model risk review
  • Remediation roadmap ranked by exposure
  • Board-ready executive summary
02

Data flow and retention review

Where prompts, outputs, and embeddings actually go: which vendors see your data, what they retain, what your contracts and policies claim — and where the gaps between claim and reality sit.

Book a scoping call →
03

Vendor and model risk review

Every model API, AI SaaS tool, and plugin in use, reviewed for terms, data handling, and security posture — including the shadow tools that never went through procurement.

Talk it through →
Who it's for

For the people who answer for the risk.

If AI questions land on your desk and the answers live in ten other teams, start here.

CISOs
A defensible inventory and a prioritized plan, instead of answering board questions from partial visibility.
General counsel and compliance officers
Documented review of data flows, retention, and vendor terms — the paper trail regulators and customers ask for.
Regulated industries adopting AI
Finance, healthcare, insurance: move on AI with the risk documentation your auditors expect to see.
Teams inheriting shadow AI
Tools adopted team by team, without review. The assessment finds them and puts them on the map.
Related services

Mapped the risk?
Here's what comes next.

AI Security Testing & Patching
Attack your highest-exposure AI systems the way adversaries will — and fix what breaks.
View service →
MCP Gateway
Turn the remediation roadmap into standing controls: one governed gateway for models, tools, and data.
View service →
Architecture & SDLC Assessment
The engineering-side counterpart: codebase, architecture, and team readiness for the agent era.
View service →

Get the map before the questions get harder.

A few weeks of work turns unknown exposure into a ranked, owned, workable plan. Tell us what you're running and we'll scope it.