AI Security Architecture Secrets You Need to Know NOW

If you’re scaling GenAI beyond prototypes, this episode is your blueprint. Mayank and Prabh walk through a practical, cloud-ready AI security architecture—how to protect data, models, prompts, and pipelines while staying compliant with EU AI Act, NIST AI RMF, and ISO 42001. We cover what changes when models become crown-jewel assets, how to apply Zero-Trust to training and inference, and how to ship safely without slowing delivery. 00:00 - 02:20 - Introduction and Guest Credentials 02:00 – 07:00 - Career and Personal Journey of Mayank Lau and Agenda 07:00 – 13:25 - Difference between traditional IT Security and AI Security Architecture 13:35 – 20:57 - Data Control for AI Training 20:57 – 25:31 - Role of pipeline in the AI 25:31 – 31:45 - Modeling and adversarial attacks 31:45 – 42:09 - Access and Identity 42:09 – 45:13 - AI Transparency and Explainability 45:13 – 50:23 - Third Party and Cloud AI 50:23 – 56:06 - How Incident response will change? 56:06 – 01:00:25 - AI Governance and Regulatory Compliance 01:00:25 – 01:05:48 - Future Outlook 01:05:48 – 01:12:12 - Building block of AI architecture 01:12:12 – 01:17:00 - Step-by-Step process 01:17:00 - End of the conversation by thanking Mayank Lau and looking forward to doing more Podcast. Document https://docs.google.com/document/d/17... What you’ll learn AI security vs traditional security: new attack surface across data, models, prompts, tools Data protection playbook: encryption, access control, lineage, validation, auditability Model safety in production: adversarial testing, prompt/response controls, drift monitoring Zero-Trust for AI: identity-first design, micro-segmentation, least-privilege IAM, JIT access Third-party & supply chain risk: vendor due diligence, red-line data, output monitoring, exit plans AI incident response: detect, contain, investigate, and recover from poisoning and abuse Governance that works: risk tiers, model cards, policy guardrails, human-in-the-loop Build vs buy: platforms, guardrails, and controls without blocking product velocity Future-proofing: modular MLOps, retrain/swap agility, transparent governance Who this is for CISOs, security architects, ML leaders, platform teams, and founders running GenAI in regulated or high-risk environments. GEN AI Security    • Gen AI Security in 2025   AI Governance    • AI Governance Simplified: From Zero to Pro   CISO talks    • CISO Master Class   NIST Series    • NIST CSF - Identify Function ((Asset Manag...   GRC Series    • GRC Practical Approach - Part 1: Introduction   ISO 27001 Video    • Implementing ISO 27001 in an organization ...   ISO 27001 Implementation Guide    • ISO 27001 Like Never Seen Before: A Comple...   GRC Practical Series    • GRC Practical Series   GRC Interview    • GRC   Internal Audit    • Internal Audit   Study with Me Telegram Group https://t.me/Prabhstudy #AISecurity #GenAI #ZeroTrust #AIGovernance #EUAIAct #NISTAI #ISO42001 #MLOps #LLMSecurity #DataSecurity #ModelRisk #AdversarialML #IncidentResponse #SecurityArchitecture #CloudSecurity #SupplyChainRisk #PromptSecurity #AICompliance #ThreatDetection