01 / Security for AI
Move from AI interest
to governed adoption.
Understand where AI is used, how it touches your data, and who is accountable. Then put proportionate safeguards around the use cases that matter.
GOVERNANCE & OWNERSHIPSet the rules for AI use.
Give people a practical way to make responsible decisions about AI, with clear expectations and an approval process they can follow.
- AI use inventory and ownership
- Acceptable-use policies and guidance
- Use-case risk assessment and review
- Governance roles and decision rights
ARCHITECTURE & CONTROLSProtect the way AI connects.
Review how AI applications and agents access information, use tools, and interact with other systems. Design controls around those boundaries.
- Data flows and access boundaries
- Agent permissions and human approvals
- Application and integration threat modeling
- Logging, monitoring, and response planning
READINESS & IMPLEMENTATIONMake the safeguards work.
Turn the assessment into a plan your team can execute. Support implementation and evaluate controls before expanding AI use.
- Prioritized security requirements
- Vendor and deployment reviews
- Control implementation support
- Security evaluation and remediation planning