How Do You Verify an AI Decision in GRC? Accountability, Auditability, and Explainability (2026)
Mitratech
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How Do You Verify an AI Decision in GRC? Accountability, Auditability, and Explainability (2026)
12 просмотров · 4 дня назад
Mitratech
815 подписчиков
12 просмотров · 4 дня назад
Verifying an AI decision in GRC means being able to trace the output back to its source data, show the reasoning behind it, and produce an audit trail a regulator or board would accept, not just trusting that the AI got it right. For most organizations, that capability doesn't exist yet.
Your GRC AI just made a decision. A risk score. A compliance flag. A board summary. Can you verify it? Not "do you trust it," that's a different question. That gap is what regulators are closing in on, and what boards are starting to demand.
Jan Stappers, Executive Vice President of GRC Solutions Strategy, is joined by Luis Carlos Nino, Principal Analyst at Verdantix, for a practical conversation on what's really changing in GRC and what it means for risk, compliance, and governance leaders right now.
What this session covers:
What Verdantix is seeing across GRC programs globally, including the patterns, pressure points, and where organizations are falling short on AI accountability
The "agentic AI" reality check: what vendors claim, what it actually means, and why that distinction matters for audit and governance
Why transparency and auditability are moving from best practice to regulatory requirement, including developments under the EU AI Act, California's transparency laws, and UK financial regulations
What "black box" models and shadow AI mean for accountability, and why fragmented ownership leaves no one able to explain a decision after the fact
Board reporting in 2026: what good looks like when GRC data is connected across risk, compliance, policy, and third parties
Practical safeguards for verification: tamper-proof logging, multi-agent architectures that avoid model drift, model and prompt versioning, and human-in-the-loop review
A live demo from Senior GRC Consultant Jared Howe, showing how a connected GRC platform provides full audit history for every AI interaction and lets human reviewers intervene or override AI suggestions
Watch the full conversation and see the platform demo: https://www.mitratech.com