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PRODID://NDCP//515348
BEGIN:VEVENT
DTSTAMP:20260429T165909
VTIMEZONE:America/Chicago
DTSTART:20270412T160000Z
DTEND:20270412T180000Z
UID:515348
SUMMARY:Surgent's Governing Agentic AI: Cybersecurity, Data, and Risk (GOA2)
LOCATION:Webinar
DESCRIPTION:Surgent's Governing Agentic AI: Cybersecurity, Data, and Risk (GOA2)\n\n04/12/27 11:00 AM CST\n - 04/12/27 01:00 PM CST\Description:\nAs accounting firms and financial institutions deploy agentic AI, they face significant governance challenges. This course focuses on cybersecurity, data governance, and risk management practices essential for the safe and effective use of autonomous systems. Participants will examine frameworks such as NIST AI RMF and the CSA's red-teaming guidelines, as well as case studies on AI-powered cyber incidents. The course equips professionals to assess agentic system vulnerabilities, implement controls, and integrate risk insights into enterprise compliance strategies. This course equips CPAs to fulfill their oversight responsibilities in safeguarding financial data and ensuring the reliability of autonomous systems within the enterprise's control environment.Objectives:
 Evaluate key cybersecurity and data risks associated with agentic AI
 Understand global regulatory frameworks relevant to agent deployment
 Apply AI risk management frameworks (e.g., NIST, CSA) to financial settings
 Design oversight and monitoring strategies for autonomous AI systems, integrating them within existing internal control frameworks relevant to CPAs
 Align agent governance with internal controls and assurance reporting
 Presenters:Cory NgField of Study:Information Technology (2)Major Topics:
 Cyber risks: prompt injection, drift, model manipulation, data leakage
 Red-teaming and simulation exercises (CSA, IBM frameworks)
 Controls mapping: COSO, SOX, and NIST AI RMF
 Regulatory context: GDPR, CCPA, EU AI Act, SEC guidance
 Platform security discussion and comparisons
 \Location:\nWebinar\n\n,
X-ALT-DESC;FMTTYPE=text/html:Surgent's Governing Agentic AI: Cybersecurity, Data, and Risk (GOA2)<br /><br />04/12/27 11:00 AM CST - 04/12/27 01:00 PM CST<br />Description:<br />As accounting firms and financial institutions deploy agentic AI, they face significant governance challenges. This course focuses on cybersecurity, data governance, and risk management practices essential for the safe and effective use of autonomous systems. Participants will examine frameworks such as NIST AI RMF and the CSA's red-teaming guidelines, as well as case studies on AI-powered cyber incidents. The course equips professionals to assess agentic system vulnerabilities, implement controls, and integrate risk insights into enterprise compliance strategies. This course equips CPAs to fulfill their oversight responsibilities in safeguarding financial data and ensuring the reliability of autonomous systems within the enterprise's control environment.<br><br><b>Objectives:</b><br><ul>
    <li>Evaluate key cybersecurity and data risks associated with agentic AI</li>
    <li>Understand global regulatory frameworks relevant to agent deployment</li>
    <li>Apply AI risk management frameworks (e.g., NIST, CSA) to financial settings</li>
    <li>Design oversight and monitoring strategies for autonomous AI systems, integrating them within existing internal control frameworks relevant to CPAs</li>
    <li>Align agent governance with internal controls and assurance reporting</li>
</ul><br><b>Presenters:</b><br>Cory Ng<br><br><b>Field of Study:</b><br>Information Technology (2)<br><br><b>Major Topics:</b><br><ul>
    <li>Cyber risks: prompt injection, drift, model manipulation, data leakage </li>
    <li>Red-teaming and simulation exercises (CSA, IBM frameworks) </li>
    <li>Controls mapping: COSO, SOX, and NIST AI RMF </li>
    <li>Regulatory context: GDPR, CCPA, EU AI Act, SEC guidance </li>
    <li>Platform security discussion and comparisons</li>
</ul><br />Location:<br />Webinar<br /><br />,  
PRIORITY:3
TRANSP:TRANSPARENT
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