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.
Everyone is 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.
Most of that exposure exists because the systems live somewhere else. Every vendor in the chain is another party holding your customer data under terms you did not write. You cannot remediate what you have not mapped, and you cannot decide what to bring in-house until you can see what leaving it outside actually costs you.
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.
Full-stack AI risk assessment
Structured interviews, system review, and data flow tracing across everything AI in your organization, both 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
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 →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. Where the risk is structural, we tell you what it would take to run that capability inside your own walls instead.
Talk it through →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.
Mapped the risk?
Here is what comes next.
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 are running and we will scope it.
