AI Security
AI Security
AI introduces new assets, new data flows and new actors into the enterprise. CoreIAM Technologies helps you adopt AI with governance, security controls and identity safeguards that keep pace with innovation.
- AI GovernancePolicies, risk assessment and accountable ownership
- AI Application SecurityLLM and GenAI applications, APIs and architectures
- AI Identity SecurityIdentities, authorization and privileges for AI (IAM for AI)
- AI-Powered IAMUsing AI to strengthen identity security (AI for IAM)
Security for AI and AI for security
Overview
What AI security means
AI security covers the controls needed to use AI safely: governing how AI is adopted, securing the applications and APIs built on large language models, protecting the data those systems can reach, and managing the identities and privileges of AI workloads and agents.
It is distinct from — but closely connected to — using AI to improve security itself. CoreIAM Technologies addresses both.
Why it matters
Why organizations need it
Generative AI and agents are moving from experiments into production faster than security policies can adapt. They can be manipulated through prompt injection, can expose sensitive data through retrieval, and increasingly act on systems with real permissions. Boards, customers and regulators are asking how these risks are governed.
Common drivers
- Shadow AI use outside approved tools
- Prompt injection and insecure output handling
- Sensitive-data exposure through retrieval and training
- AI agents with broad or poorly defined permissions
- Unclear ownership and accountability for AI systems
- Emerging regulatory and customer expectations
Capabilities
Core capabilities
-
AI Security Governance
Policies, roles and decision rights for responsible, secure AI adoption.
-
AI Risk Assessment
Structured assessment of AI use cases, data flows, threats and controls.
-
LLM & GenAI Application Security
Threat modelling and testing for prompt injection, data leakage and insecure integrations.
-
AI API Security
Authentication, authorization, rate limiting and monitoring for AI services and APIs.
-
AI Architecture Review
Secure reference architectures for retrieval, agents and model hosting.
-
AI Identity Security
Identities, authorization and least privilege for AI applications, workloads and agents.
Scope
AI security services included
AI Application Security
AI Identity Security
Use cases
Typical use cases
-
Approving AI use cases safely
A repeatable risk assessment before new AI capabilities go live.
-
Securing an internal copilot
Controls for retrieval, data permissions and prompt handling.
-
Governing AI agents
Scoped identities, approvals and monitoring for agents that take actions.
-
Protecting AI APIs
Strong authentication, quotas and logging for model and inference endpoints.
-
Board-level AI risk reporting
A clear view of AI adoption, risk and control maturity.
Our approach
How CoreIAM helps
AI security is a young discipline, so we ground it in established practice: governance frameworks, threat modelling, application security testing and — our specialization — identity and access control. That combination lets us address both the novel risks of AI and the familiar ones it amplifies.
- Practical governance that enables adoption rather than blocking it
- Threat modelling specific to LLM applications and agents
- Identity-first controls for AI workloads and agents
- Alignment with emerging AI risk-management frameworks
- Integration with your existing security operations
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 for IAM
Use analytics, machine learning and automation to make identity security more intelligent, adaptive and proactive.
-
IAM for AI
Govern the identities, permissions and activity of AI applications, agents and workloads.
-
Machine & Non-Human Identity Security
Discover, govern and protect service accounts, workloads, APIs, secrets, certificates and AI agents.
-
Application Security
Build security into applications and APIs — from design and code to runtime protection.
Adopt AI with confidence
Talk to us about AI governance, LLM application security or identity for AI agents.