Adopt · Secure AI Adoption
Say yes to AI without losing track of your data.
We find the AI already in use, set the rules, lock down what copilots and agents can see and do, and design the architecture for what you build next.
- Typical length
- 3–6 weeks
- Covers
- Copilots, agents, AI vendors, internal AI apps
- Reference
- NIST AI RMF, OWASP LLM Top 10
Review · AI adoption baselineSimulated environment, real workflow.
Scope
What we cover.
Pick what matters for this engagement. We help you scope it in the first call.
Shadow AI discovery
Which AI tools, browser extensions and API keys are already in use, from logs, expense data and a short survey.
AI usage policy
Clear rules for staff: approved tools, what data may go in, and how to request something new.
Copilot data controls
Permissions, labels and oversharing checks before an enterprise copilot can read everything a user can.
Secure AI architecture
Model gateway, identity for agents, tool scoping, secrets and logging for the AI features you build.
AI vendor review
Due diligence on AI vendors and models: data use, retention, training terms, sub-processors and security.
Guardrails and monitoring
Input and output filtering, human approval for risky actions, and AI events sent to your SOC.
Methodology
How the engagement runs.
- 01
Discover
Find the AI in use today and the data flowing to it.
- 02
Decide
Agree which tools and uses are approved, conditional or blocked.
- 03
Control
Configure permissions, data labels, gateways and logging for approved tools.
- 04
Design
Review the architecture of AI features and agents before they ship.
- 05
Monitor
Send AI activity to your SOC and review the policy as tools change.
Guardrails where untrusted input meets your data.
Every AI tool you approve gets the same three checks: what can reach it, what it can see, and what it can do on someone's behalf.
Deliverables
What you walk away with.
Written for the engineers who fix things and the leaders who fund them.
- Named lead for the whole engagement
- Critical issues flagged the same day
- Retest included
AI usage baseline
The AI tools in use, the data reaching them and the top risks, in one report.
AI usage policy
A policy staff can read in five minutes, with an approval path for new tools.
Control configuration
Copilot permissions, data labels, gateway and logging settings, applied with your team.
Architecture review
Design decisions and fixes for each AI feature or agent you are building.
FAQ
Questions we hear most.
Should we just block AI tools?
Blocking usually pushes use to personal accounts you can't see. We help you approve the right tools with the right controls instead.
Is an enterprise copilot safe to turn on?
It is as safe as your permissions. Copilots surface everything a user can already read, so we fix oversharing first.
Do you review the AI vendors we buy from?
Yes: data use, retention, training on your data, sub-processors and security evidence, using the same method as our vendor risk service.
How is this different from AI red teaming?
Adoption sets the rules and controls for AI you use. Red teaming attacks the AI you build to prove those controls hold.
Related
Often paired with.
Scope your Secure AI Adoption engagement.
A 30-minute call with a senior practitioner. You leave with a scope, a timeline and a fixed quote.