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Intelligent Infrastructure: Security in the Age of Artificial Intelligence
Join a curated group of Cybersecurity, Technology and Risk Leaders for an engaging roundtable discussion over an elevated dinner.
Expect actionable insights, meaningful conversations, and an opportunity to connect with industry peers.
Sept 16th, 2025, 6:30 PM EDT - New York City
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Event Details
Join an elite group of cybersecurity executives for an exclusive, facilitated roundtable to explore the critical intersections of AI security, risk mitigation, and regulatory challenges.
This closed-door dinner will foster candid discussions on the vulnerabilities AI introduces, the strategies to fortify digital ecosystems, and how enterprises can balance innovation with security.
Who's Invited
This invitation-only event is designed for senior cybersecurity and IT security professionals, including:
CISOs, CTOs, and IT Security Executives
Cyber Risk & Fraud Prevention Leaders
Directors and Heads of Cybersecurity
Technology, Compliance and Payment Security Specialists
Event Agenda
Venue
Sept 16th 2025 at 6:30 PM EDT
6:30 PM – 7:15 PM: Networking Session with Welcome Drinks
7:15 PM – 7:30 PM: Introductions, Opening Remarks
7:30 PM – 8:15 PM: Starters, Facilitated Discussion
8:15 PM – 9:00 PM: Main Course, Closing Remarks
9:00 PM – 9:30 PM: Extended Networking with Open Bar
Avra Rockefeller
1271 6th Ave, New York, NY 10020
Discussion Points
Intelligent Infrastructure: Security in the Age of Artificial Intelligence
As financial services increasingly adopt AI, firms face urgent questions around safety, privacy, and speed. How are leaders ensuring ethical, secure AI, especially amid opaque data and rising model risk? With LLMs powering more applications, API and data-layer security becomes critical: what’s being done to prevent breaches, poisoning, or misuse? And in latency-sensitive environments like trading, how are organizations balancing ultra-fast performance with robust safeguards?
As AI use grows in Finserv, how are you ensuring model safety, data privacy, and fairness, especially with uncontrolled or opaque data?
How are you securing LLM APIs and apps, protecting data, controlling access, and preventing misuse or attacks?
In speed-critical systems like AI and trading, how are you minimizing latency while maintaining security and reliability?
Registration
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Our events are entirely pitch free, and we prioritize authentic conversations over sales tactics, providing industry leaders with a space to connect, collaborate and share insights freely.
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