Security Control Validation for Generative AI and Agentic AI in Regulated Industries

-a sample template

Document Information

• Template Version: 1.0

• Industry Focus: Generative AI and Agentic AI in Regulated Sectors (e.g., Finance, Healthcare, Critical Infrastructure)

• Purpose: This template validates the effectiveness of security controls implemented for Generative AI (e.g., content generation models) and Agentic AI (e.g., autonomous decision-making agents) systems, ensuring they meet regulatory and organizational security requirements.

• Responsible Parties: IT Security Team, Compliance Officer, Risk Management Team, AI Governance Committee

Introduction

Security controls for AI systems must address unique challenges such as model vulnerabilities, data poisoning risks, and adversarial attacks. This validation template ensures that implemented controls are effective, compliant with standards like NIST Cybersecurity Framework, ISO 27001, and AI-specific guidelines (e.g., NIST AI RMF).

Key Objectives:

• Verify that security controls function as intended.

• Identify gaps or weaknesses in AI security posture.

• Ensure compliance with regulatory requirements.

• Provide evidence for audits and certifications.

• Support continuous improvement of security measures.

Validation Principles:

• Risk-based approach prioritizing high-impact controls.

• Combination of automated and manual testing.

• Regular validation aligned with AI system updates.

• Documentation of all findings and remediation actions.