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AI Security

AI Security Policies & Controls

Policies set expectations; controls make them real. We define both for how your organization builds and uses AI.

Overview

What is AI Security Policies & Controls?

AI security policies cover acceptable use of AI tools, data classification rules for prompts and training, secure development of AI applications, vendor requirements and incident handling. Matching controls include access restrictions, data-loss prevention, logging, guardrails, model and prompt management, and monitoring.

Why it matters

When organizations need it

These are common signs that an organization would benefit from AI Security Policies & Controls.

Signs you need it

  • No written guidance on using generative AI tools
  • Sensitive data pasted into public AI services
  • Development teams building AI features without standards
  • Audit requests for AI control evidence

Capabilities

Key capabilities

  • Acceptable-use policy

    Clear rules for employees using AI tools.

  • Secure AI development standard

    Requirements for teams building AI features.

  • Technical guardrails

    DLP, access control, logging and output filtering.

  • Control mapping

    Alignment with AI risk frameworks and existing controls.

Scope

What you receive

  • AI policy set
  • Secure AI development standard
  • Control catalogue
  • Awareness material

Our approach

How CoreIAM helps

We write policies in plain language and pair each one with controls that can be implemented and evidenced.

Engagement

Engagement approach

  1. Inventory

    Map AI use cases, data flows and owners.

  2. Assess

    Evaluate risks and existing controls.

  3. Secure

    Implement governance, technical and identity controls.

  4. Monitor

    Track usage, access and emerging threats.

Related

Explore 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 Risk Assessment

    Understand the security and data risks of each AI use case before it goes live.

  • LLM Security

    Protect large language model applications from prompt injection, data leakage and misuse.

Discuss AI Security Policies & Controls with our specialists

Tell us about your environment and objectives, and we will recommend the right scope and approach.

sales@coreiam.com +91 9384404008