AI governance
AI risk assessments for companies adopting AI responsibly
AI risk is relevant to established companies adopting internal tools as well as companies building AI-enabled products. TSC Security helps identify use cases, data flows, providers, threats, owners, and controls so adoption can proceed with clear accountability.
Who this helps
- SaaS companies adopting employee AI tools
- Product teams adding AI features
- Healthcare technology companies evaluating sensitive-data use
- Organizations responding to customer AI governance questions
Problems it addresses
- AI tools are used without an inventory
- Sensitive-data handling rules are unclear
- Model and provider risks are not assessed
- Human oversight and output validation are inconsistent
- AI incidents are missing from response plans
What the work includes
Use-case and tool inventory
Identify approved and unapproved tools, product use cases, owners, users, and data flows.
Risk assessment
Assess data exposure, provider risk, prompt injection, output reliability, access, logging, and misuse.
Governance design
Recommend roles, policies, approval criteria, human oversight, validation, and auditability.
Framework alignment
Map practical controls to NIST AI RMF, ISO 27001, ISO/IEC 42001, and relevant emerging governance considerations.
Expected outcomes
A documented inventory of AI use
Clear ownership and approval rules
Controls for sensitive data and providers
Human oversight, output checks, and incident response plans
How the engagement works
Inventory
Identify tools, use cases, models, providers, data, and owners.
Assess
Evaluate business impact, threats, privacy, reliability, and third-party risk.
Govern
Recommend policies, decision rights, control requirements, and exception handling.
Implement
Put priority safeguards, logging, validation, training, and response updates into operation.
Frequently asked questions
Which AI uses can an assessment cover?
It can cover third-party tools used internally, AI features added to existing products, and systems built or hosted by your organization. The scope is set around your actual use cases and data.
Does an assessment certify that an AI system is safe or compliant?
No. It documents risks, controls, and recommendations for your review. Your organization decides how to treat residual risk, and AI uses need ongoing oversight as systems and requirements change.
Can recommendations fit our existing security program?
Yes. Recommendations can connect AI risks to existing vendor management, access, privacy, secure development, incident response, and risk governance processes.
Need security leadership and execution without building a full internal team?
Tell us what is driving the work. We will help identify the engagement model that fits your company.
Book a security strategy call