AI Governance Now - EMEA
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- What effective AI governance actually looks like in practice
- How to operationalize AI governance within your existing information security and GRC programs
- How to reduce AI-driven identity and security risks at scale
- What steps can we take now to implement effective AI governance?
- Where are organizations failing with AI governance today, and how can we avoid it?
- How can we align AI governance with cybersecurity and compliance frameworks?
- Why is securing AI agents and machine identities critical to strong AI Governance?
- CFOs and Financial Teams
- CISO and Executive Leadership
- Compliance and Audit Teams
- CTOs
- CIOs
- Delinea Customers
- Directors of Information Security
- Directors of Security & Risk
- Directors of Security Operations
- Fastpath Customers
- Identity and Access Management Teams
- IT Operations: Systems Administrators, Helpdesk Teams, Infrastructure Management, Workstation Management, etc.
- IT Security Professionals
- Legal Advisors
- PAM and IAM Teams
- Professionals in Ransomware and Response Strategy
- Risk Management Professionals
- StrongDM Customers
MEET THE PRESENTERS
Frank is Chief Security Scientist at Delinea. He has over three decades of experience as an auditor and security professional, along with corporate IT executive management. Frank holds Certified Internal Auditor (CIA) and Certified Information System Auditor (CISA) designations, and passed the CISSP exam in 2001. He is a frequent speaker at audit (IIA), IT audit (ISACA), software publishers, security, and user group events.
Guru Sethupathy is the GM of AI Governance at Optro. Previously, he was the founder and CEO of FairNow (now part of Optro), a governance platform that simplifies AI governance through automation and intelligent and precise compliance guidance, helping customers manage risks and build trust and adoption in their AI investments. Prior to founding FairNow, Guru served as an SVP at Capital One, where he led teams in building AI technologies and solutions while managing risk and governance. Guru also spent time at McKinsey, where he advised Fortune 100 leaders on harnessing the power of analytics and AI while managing risks. All told, Guru has spent two decades in the AI space, spanning academia, corporate, and start-up roles, conducting research on AI systems and their implications for business value, risks, and the workforce. He has a BS in Computer Science from Stanford University and a PhD in Economics from Columbia University.
