AI & Security Maturity: Navigating Risks Across Every Stage with John Hammond & Vanta

 https://www.vanta.com/downloads/ai-security-maturity-navigating-risks-across-every-stage-with-john-hammond-vanta?submissionGuid=4badccc3-738a-47ae-a197-ab34d3e36c14

Main Concepts: AI Security Maturity

1. The Shift in Threat Landscape (2025-2026):

   • AI-Enhanced Phishing & Social Engineering: Adversaries are using LLMs to create flawless, personalized phishing campaigns at scale, removing the "broken English" red flags of the past.

   • Automated Vulnerability Research: AI is being used by attackers to find and exploit 0-days or misconfigurations faster than traditional manual teams.

2. The AI Security Maturity Model:

   • Level 1: Partial (Shadow AI): Organizations have employees using AI (ChatGPT, etc.) without formal policies or visibility. The risk here is data leakage.

   • Level 2: Risk-Informed: The organization has defined acceptable use policies and is beginning to inventory AI tools. Security is reactive but aware.

   • Level 3: Repeatable (Governance): Guardrails are in place. The company uses automated tools to monitor AI usage and has integrated AI risk into their overall GRC (Governance, Risk, and Compliance) framework.

   • Level 4: Adaptive (Automation & Trust): Security is baked into AI development. The organization uses advanced frameworks (like ISO 42001 or NIST AI RMF) and leverages AI to defend against AI-driven threats.

3. Human-Centric Security:

   • John Hammond emphasizes that while AI changes the speed of attacks, the fundamentals of security—identity management, least privilege, and a strong security culture—remain the bedrock.