Data and AI
Classifying information, setting terms for AI tools, and assessing the AI features you build.
The packs behind these answers
- P15Information Classification & Handling
- P24AI Security Governance & Acceptable Use
- P25Generative AI Security
- P28GDPR Security Controls, DPIA & Records SupportIn preparation
How do we…
Methods: how a thing is done well.
- How do we classify information without everything ending up "Confidential"?
- How do we assess the security of a GenAI feature we are building ourselves?
- How do we decide whether a proposed AI use case can go ahead?
- How do we find and record all the AI we use, including AI inside tools we already own?
- How do we assess the risk and impact of an AI use case before we approve it?
- How do we review an LLM feature or an AI agent for security before it goes live?
- How do we defend an LLM application against prompt injection?
- How do we check an AI vendor or model provider before we rely on it?
- How do we test an LLM application the way an attacker would?
- How do we configure a generative AI service securely before it goes live?
- How do we track AI security findings and the deviations we accept?
When do we…
Triggers and timing: when something has to happen.
Who decides…
Authority: who may approve, accept or act.
Is it…
Judgements with a yes or no at their centre.
If…, then how…
Situations: something has happened, what now.
Other categories
- Vulnerabilities and exposure19 questions
- Risk, exceptions and acceptance19 questions
- Policy and governance10 questions
- Board and executive reporting16 questions
- Third parties and suppliers20 questions
- Identity and access23 questions
- Incidents and regulatory notification25 questions
- Resilience and recovery18 questions
- Regulation, audit and certification26 questions
- Leading the security function35 questions