AI Security
AI Risk Assessment
A structured AI risk assessment examines what an AI system can access, how it can be misused and which controls are needed.
Overview
What is AI Risk Assessment?
AI risk assessments review the use case, data flows, model and hosting choices, integrations, identities and permissions, and user population. They consider threats such as prompt injection, data leakage, insecure output handling, excessive agency and supply-chain risk, and recommend proportionate controls.
Why it matters
When organizations need it
These are common signs that an organization would benefit from AI Risk Assessment.
Signs you need it
- A new copilot, chatbot or agent planned for production
- AI systems handling sensitive or regulated data
- Customer due-diligence questionnaires about AI
- Incidents or near misses involving AI tools
Capabilities
Key capabilities
-
Use-case & data flow analysis
What the system does, sees and connects to.
-
Threat modelling
AI-specific threats and abuse scenarios.
-
Control evaluation
Existing controls and gaps.
-
Risk rating & treatment
Prioritized recommendations and residual risk.
Scope
What you receive
- AI risk assessment report
- Threat model
- Control recommendations
- Risk register entries
Our approach
How CoreIAM helps
Our assessments cover identity and access in depth — often the deciding factor in how risky an AI system really is.
Engagement
Engagement approach
-
Inventory
Map AI use cases, data flows and owners.
-
Assess
Evaluate risks and existing controls.
-
Secure
Implement governance, technical and identity controls.
-
Monitor
Track usage, access and emerging threats.
Related
Related services
-
AI Security
Secure AI adoption — from AI governance and LLM application security to identity for AI agents.
-
AI Security Governance
Clear ownership, decision rights and guardrails for secure AI adoption.
-
AI Security Policies & Controls
Practical AI policies and technical controls people can follow.
-
LLM Security
Protect large language model applications from prompt injection, data leakage and misuse.
Discuss AI Risk Assessment with our specialists
Tell us about your environment and objectives, and we will recommend the right scope and approach.

