On-demand sessions,
governance deep dives

On-demand sessions covering AI governance, compliance strategy, and platform deep dives.

45 minMar 12, 2026

Building your EU AI Act compliance roadmap

Dr. Elena Vasquez, Head of AI Policy

A step-by-step walkthrough of EU AI Act requirements, from risk classification through conformity assessment. Covers Annex III high-risk categories, technical documentation mandates, and how to build a timeline that satisfies regulators without stalling your roadmap.

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45 minApr 2, 2026

Guardian Agents deep dive

Marcus Chen, Principal Engineer

Technical deep dive into KoraSafe's Guardian Agent architecture. See how PII detection, bias monitoring, hallucination scoring, and cost governance agents work together in real time. Includes live demo of agent configuration and alert tuning.

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45 minApr 23, 2026

Shadow AI: finding what you can't see

Priya Sharma, VP of Product

Most enterprises have AI tools running outside IT oversight. This session covers detection strategies using browser extensions and network monitoring, building an inventory of unauthorized AI usage, and creating governance policies that bring shadow AI into compliance.

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45 minMay 14, 2026

Risk classification in under sixty seconds

James Okafor, Solutions Architect

Live walkthrough of KoraSafe's automated risk assessment engine. See how regulatory mapping, use-case analysis, and data sensitivity scoring combine to produce a risk classification in seconds rather than weeks of manual review.

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45 minJun 4, 2026

MCP Gateway: governing agent traffic

Sarah Kim, Staff Engineer

How the Model Context Protocol Gateway acts as a governance proxy for all agent-to-agent and agent-to-tool communication. Covers policy enforcement at the protocol layer, audit logging, and integration patterns for multi-agent architectures.

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45 minJun 25, 2026

Board-ready AI governance reporting

David Thornton, GRC Practice Lead

Practical guidance on translating technical AI governance data into board-level reports. Covers maturity radar visualizations, risk heat maps, compliance milestone tracking, and how to frame AI governance in terms executives understand and act on.

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