- AI's transformative impact on enhancing the efficiency and effectiveness of TPRM strategies.
- The importance of TPRM in compliance with SEC regulations emphasizes AI's role in addressing the complexities of vendor risk management.
- Various aspects of AI in TPRM, including regulatory compliance, automated data collection, continuous monitoring, predictive analytics, and intelligent contract review.
- The challenges of AI in TPRM include data bias and the necessity of human oversight in decision-making.
Presenter Name; Robin Cyrus
Robin is a Managing Director and Head of DLA’s National Cybersecurity Practice. His expertise includes:
· Developing, implementing, and managing cybersecurity strategies and programs.
· Developing and implementing policies to protect organizations from cyber threats.
· Identifying, assessing security risks and implementing effective security controls.
· Conducting security audits, incident response management, and ensuring compliance with industry standards and regulations.
Prior to joining DLA LLC, Robin served as Principal security leader at McKinsey and Company, where he worked on implementing large-scale security, risk, and compliance initiatives for Fortune 100 firms. Prior to McKinsey, Robin worked at BDO LLP, where he was the Cybersecurity practice leader, developing and implementing Cyber Resiliency plans, Identity Access Management (IAM) solution implementations, Resiliency plans, Incident response/tabletop exercises, Threat intelligence hunting, Cyber insurance coverage reviews, Cybersecurity training & awareness, Vulnerability Assessments, Penetration Testing, Regulatory compliance assessments, and Data Loss Prevention (DLP) program implementation.