Secure architecture review
Reference-architecture-based design: validation boundaries, sandboxing, and human-in-the-loop controls for consequential actions.
Advisory program
Secure AI Implementation
Adopt AI without betting the business on it.
NIST AI RMFOWASP LLM Top 10GDPR/CCPA
Plan the programFit check
This is a fit if
- 01A customer, regulator, insurer, or board wants documented control.
- 02New technology or obligations are moving faster than internal policy.
- 03You need practical governance that people can follow and auditors can verify.
The work, made tangible
What you receive
We design AI deployments from published security reference architectures, not vibes: input/output validation at every trust boundary, least-privilege credentials for anything the model can call, human approval gates on consequential actions, and logging that lets you reconstruct what the AI did and why. Most of the risk is decided before the first prompt: in vendor tier selection, data-retention settings, and which data sources the model may touch. We make those decisions deliberately, with you.
Data governance for AI
What data can touch which model? DLP controls so customer PII never lands in a third-party training set.
Vendor selection & configuration
Enterprise vs consumer AI tiers, data-retention settings, SSO/MFA enforcement. Most AI data leaks are a settings problem.
Guardrails & monitoring
Content filtering, prompt/response logging, and incident-response runbooks extended to cover AI systems.
Acceptable-use policy & training
A practical AI policy your team will actually follow, because they are already pasting data into free AI tools.
Engagement walkthrough
How the work moves
- 01Discover
Inventory the obligations, systems, evidence, and decision owners.
- 02Design
Translate frameworks into controls and policies sized for your business.
- 03Implement
Put the agreed controls into day-to-day operation.
- 04Prove
Organize evidence and close gaps before the external review.
Before we start
Common questions
Where does Secure AI Implementation start?
With a short scoping call. We identify the business question, the systems involved, and the evidence already available before recommending work.
What will we receive?
A clear walkthrough of the work completed, the evidence found, and the next actions. The scope includes secure architecture review, data governance for ai, vendor selection & configuration.
Can this be sized for a small business?
Yes. Scope follows your environment, risk, and deadline. The first conversation is designed to find the smallest useful starting point.