AI Security & Governance
AI introduces new questions about company information, model output, vendor access, and development practices. Security and governance work turns those questions into practical controls and clear responsibilities.
Talk to me about thisWho it’s for
For businesses introducing employee AI tools, developers building AI features, and organizations aligning technical controls with security, privacy, or audit requirements.
Questions we’ll answer
- What company information can staff put into an AI tool?
- How should AI features handle permissions, logs, and untrusted input?
- What technical evidence will our security and audit teams need?
Deliverables
What you get
Process
How it works
- Step 1
Find the actual exposure
Review tools, data categories, integrations, users, retention settings, and development workflows. Identify where sensitive information or incorrect outputs could affect the business.
- Step 2
Put controls in the workflow
Design access restrictions, data minimization, output review, retrieval boundaries, logging, and escalation. Consider prompt injection, unintended disclosure, and the actions an AI-enabled system may take.
- Step 3
Document and maintain the practice
Assign owners, create operating guidance, and plan periodic review. Work alongside qualified legal, security, and audit professionals; an architecture engagement is not legal advice or SOC 2 attestation.
Example scenario · illustrative, not a client case
Company rolling out employee AI tools
- The problem
- Employees want faster access to AI while leadership needs clear rules for company and customer information.
- The approach
- Classify permitted data, review vendor controls, define access and review requirements, and train staff on approved use.
- How we’d measure it
- Check policy understanding, control coverage, vendor settings, and the quality of audit evidence.
Questions
Common questions
Does this service certify us for SOC 2?
No. It can support technical architecture and readiness. SOC 2 is an independent attestation performed through a separate formal process.
Can security guidance be part of developer coaching?
Yes. Coaching can address sensitive data in prompts, AI-generated code review, dependency checks, access boundaries, tests, and secure implementation practices.