How to Build Trust in an AI SOC for Regulated Environments

How to Build Trust in an AI SOC for Regulated Environments

How do you establish trust in an AI SOC, especially in a regulated environment? Grant Oviatt, Head of SOC at Prophet Security and a former SOC leader at Mandiant and Red Canary, tackles this head-on as a self-proclaimed "AI skeptic". Grant shared that after 15 years of being "scared to death" by high-false-positive AI, modern LLMs have changed the game .

The key to trust lies in two pillars: explainability (is the decision reasonable?) and traceability (can you audit the entire data trail, including all 40-50 queries?) . Grant talks about yje critical architectural components for regulated industries, including single-tenancy , bring-your-own-cloud (BYOC) for data sovereignty , and model portability.

In this episode we will be comparing AI SOC to traditional MDRs and talking about real-world "bake-off" results where an AI SOC had 99.3% agreement with a human team on 12,000 alerts but was 11x faster, with an average investigation time of just four minutes .


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(00:00) Introduction(02:00) Who is Grant Oviatt?(02:30) How to Establish Trust in an AI SOC for Regulated Environments(03:45) Explainability vs. Traceability: The Two Pillars of Trust(06:00) The "Hard SOC Life": Pre-AI vs. AI SOC(09:00) From AI Skeptic to AI SOC Founder: What Changed? (10:50) The "Aha!" Moment: Breaking Problems into Bite-Sized Pieces(12:30) What Regulated Bodies Expect from an AI SOC(13:30) Data Management: The Key for Regulated Industries (PII/PHI) (14:40) Why Point-in-Time Queries are Safer than a SIEM (15:10) Bring-Your-Own-Cloud (BYOC) for Financial Services (16:20) Single-Tenant Architecture & No Training on Customer Data (17:40) Bring-Your-Own-Model: The Rise of Model Portability (19:20) AI SOC vs. MDR: Can it Replace Your Provider? (19:50) The 4-Minute Investigation: Speed & Custom Detections (21:20) The Reality of Building Your Own AI SOC (Build vs. Buy)(23:10) Managing Model Drift & Updates(24:30) Why Prophet Avoids MCPs: The Lack of Auditability (26:10) How Far Can AI SOC Go? (Analysis vs. Threat Hunting)(27:40) The Future: From "Human in the Loop" to "Manager in the Loop" (28:20) Do We Still Need a Human in the Loop? (95% Auto-Closed) (29:20) The Red Lines: What AI Shouldn't Automate (Yet) (30:20) The Problem with "Creative" AI Remediation(33:10) What AI SOC is Not Ready For (Risk Appetite)(35:00) Gaining Confidence: The 12,000 Alert Bake-Off (99.3% Agreement) (37:40) Fun Questions: Iron Mans, Texas BBQ & Seafood


Thank you to Prophet Security for sponsoring this episode.

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