Securing enterprise AI, end to end
AI moves your data across more boundaries than any technology before it. Here's how we map those boundaries, secure every crossing, and turn compliance into something your platform enforces automatically.
Where your data actually goes when you use AI
A typical corporate AI interaction crosses four trust boundaries in milliseconds — from an employee's browser to an agent, to a model, into your most sensitive data, and sometimes out to third parties. Each crossing is an attack surface. We secure all four.
User → Application
Conditional access and phishing-resistant MFA, device trust, session controls, and DLP on what users can paste or upload into AI apps.
Application → AI Platform
Agent and workload identity, least-privilege tool permissions, API gateways, prompt inspection, and rate and cost controls per identity.
AI Platform → Data
Private endpoints, document-level authorization on RAG retrieval, data classification and masking, encryption, and full provenance on what grounded each answer.
Perimeter → Third parties
Egress allow-listing for external model APIs and tools, tenant isolation guarantees, no-training data agreements, and outbound DLP on responses.
From use case to enforced compliance — automatically
Compliance shouldn't be a document that goes stale the day it's written. We feed your business use case into an AI compliance engine — ours, or one we build inside your tenant — and out comes an enforced, continuously verified posture.
Grounded in the frameworks your auditors use
The engine doesn't invent requirements — it derives them from the industry frameworks that apply to your use case and data classes, and keeps every generated control traceable back to the clause that demanded it.
See the NIST AI RMF mapped category by category- Security requirements generated per use case — reviewed and signed off by our architects, not just the model
- Preventative guardrails deployed as policy-as-code across Azure, AWS, and Google Cloud
- Drift detected and corrected continuously — posture that stays compliant between audits
- Evidence generated as a by-product, so audit prep shrinks from months to days
Assurance as a loop, not an event
Annual audits and point-in-time pen tests can't keep up with an AI-accelerated estate. The end state we build for every client is a loop that never stops running.
See it against your own architecture
Bring us one AI use case. We'll map its trust boundaries and show you the compliance posture it needs — usually within two weeks.