# Agentic AI and AI security for New York financial services New York's banks, insurers and asset managers face some of the most detailed cyber and model risk expectations in the world. We help them put AI agents into production with identity, guardrails, human approval and audit evidence designed in from the start. ## Key facts - **Served from:** Our global delivery team, with on-site delivery in New York - **Deployment options:** AWS US East regions; Microsoft Azure East US and East US 2; Google Cloud US East regions; on-premises stacks with HPE, NetApp and NVIDIA - **Regulations we design for:** NYDFS Cybersecurity Regulation (23 NYCRR Part 500); Federal Reserve SR 11-7 model risk guidance; GLBA; SEC cybersecurity disclosure rules; NYC Local Law 144 for automated hiring tools; NIST AI RMF ## What we deliver - [Agentic AI for banks](https://www.nitronedge.com/regions/usa/banking/): Agents for New York banks that fit NYDFS Part 500 and model risk reviews. - [Fraud and AML](https://www.nitronedge.com/services/fraud-detection/): Alert research and case drafting for BSA/AML and card fraud teams. - [AI security](https://www.nitronedge.com/services/ai-security/): Agent identity, least-privilege access and runtime protection for regulated firms. - [AI governance](https://www.nitronedge.com/services/ai-governance/): Inventories, risk ratings and validation packs for SR 11-7 reviews. ## FAQ ### Do you have an office in New York? No. New York clients are served by our global delivery team, remotely and on-site for workshops and key milestones, with in-country partners where a project needs local presence. Every enquiry gets a reply within 6 hours. ### How do AI agents fit NYDFS Part 500? We treat each agent as a privileged identity: multi-factor protected access for the people who manage it, least-privilege access to systems, full logging, and inclusion in your risk assessment and incident response plan. ### Do AI agents count as models under SR 11-7? Agents that make or support material decisions usually fall inside model risk management. We document their purpose, data, testing and limits so your validation team can review them.