NY DFS 23 NYCRR Part 500 (Cybersecurity) — Regulatory Reference

Part 500 Section 500.7 requires covered entities to implement access privilege management for all accounts — and the 2023 amendments make explicit that non-human accounts, including automated scripts and AI agents, fall within scope. This means every AI agent that accesses customer data, transaction records, or internal systems must be registered, assigned minimum necessary privileges, and have those privileges reviewed periodically. AutoPIL's agent registry and per-role policy engine directly address this: each agent is registered with a governing policy that defines exactly which data sources it may access at what sensitivity level, enforced at every retrieval call.

Part 500 applies to any entity licensed, registered, chartered, or authorized to operate under New York Banking Law, Insurance Law, or Financial Services Law — commonly called a 'covered entity.' This includes banks, insurance companies, mortgage servicers, money transmitters, and non-bank financial services firms doing business in New York. The 2023 amendments introduced a tiered structure: larger 'Class A' companies (500+ employees, or $10B+ in gross annual revenue, or $5B+ in year-end total assets) face additional governance and senior leadership accountability requirements. Covered entities subject to the rule must comply regardless of where they are headquartered, as long as they hold a DFS license or authorization.

Section 500.17 requires covered entities to notify the DFS Superintendent within 72 hours of determining that a cybersecurity event has occurred — including unauthorized access to information systems or nonpublic information. For AI-driven environments, determining 'scope of compromise' is the hard part: if an agent was used to exfiltrate or inadvertently expose data, you need to reconstruct exactly what it accessed, when, and under which policy. AutoPIL's tamper-evident audit chain provides a cryptographically chained record of every agent decision, making it possible to bound the incident scope quickly and produce an accurate notification rather than over-reporting out of uncertainty.

Section 500.7 requires covered entities to limit user and system access privileges to what is necessary for the user's job function, and to review those privileges at least annually. For AI agents, this translates to ensuring each agent can only reach the data sources its policy explicitly permits. AutoPIL enforces this pre-retrieval: before sensitive data enters the agent's context window, the policy engine evaluates the request against the agent's registered role and allowed sources. Denials are logged with a denial type, timestamp, and policy version. This creates a continuous, reviewable record of access privilege enforcement — evidence that satisfies both the technical control requirement and the audit documentation expected during a DFS examination.

The DFS has issued consent orders and civil monetary penalties against covered entities for Part 500 violations since enforcement actions began in 2020. Penalties have ranged from hundreds of thousands to tens of millions of dollars depending on the severity of the control gap and whether senior leadership accountability provisions were met. The 2023 amendments added a requirement for a CISO to certify compliance annually — making individuals personally accountable. Examiners focus heavily on access control deficiencies, missing MFA implementations, and gaps in incident documentation. Entities with incomplete audit records during a post-incident review face elevated scrutiny because they cannot demonstrate the scope of any compromise, which is itself viewed as a control failure.