{"id":86400,"date":"2025-10-13T12:14:00","date_gmt":"2025-10-13T12:14:00","guid":{"rendered":"https:\/\/www.eccouncil.org\/cybersecurity-exchange\/?p=86400"},"modified":"2026-10-28T12:21:13","modified_gmt":"2026-10-28T12:21:13","slug":"ai-governance-under-audit-what-auditors-need-to-know-about-responsible-ai","status":"publish","type":"post","link":"https:\/\/www.eccouncil.org\/cybersecurity-exchange\/cyber-talks\/ai-governance-under-audit-what-auditors-need-to-know-about-responsible-ai\/","title":{"rendered":"AI Governance Under Audit: What Auditors Need to Know About Responsible AI\u00a0"},"content":{"rendered":"\t\t
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Date<\/strong>: November 20, 2026<\/div>\n
Time<\/strong>: 8:30 AM EST | 7:30 AM CST | 7:00 PM IST<\/div>\n
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Topic: <\/strong> AI Governance Under Audit: What Auditors Need to Know About Responsible AI<\/p>\n

Register Now<\/a><\/p>\n

Abstract: <\/strong>As organizations accelerate their adoption of generative and agentic AI, auditors face a growing challenge: How do we determine whether AI systems are being governed effectively, rather than simply accepting that policies and controls are in place?<\/span><\/p>\n

AI introduces new considerations around accountability, autonomous decision-making, data integrity, model behavior, third-party dependencies, and human oversight. While established audit principles remain relevant, auditors must understand how these risks affect the design, implementation, and effectiveness of governance controls. <\/p>\n

This webinar examines AI governance froman audit and assurance perspective, focusing on how auditors can move beyond reviewing documented policies and management representations to evaluating what is actually happening within an organization. <\/p>\n

We’ll explore how governance responsibilities are assigned, how AI-related risks are assessed, how controls are monitored and tested, and what evidence should exist to support management’s assertions. <\/p>\n

Particular attention will be given to identifying gaps between expected governance and operational reality, evaluating whether controls are working as intended, and determining whether organizations can demonstrate responsible oversight of their AI systems. <\/p>\n

Participants will gain a practical understanding of how to approach AI governance audits, ask more effective questions, identify control deficiencies, and assess whether the evidence supports the conclusions being reported.<\/p>

\nKey Takeaways: <\/strong><\/p>\n