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Privacy & Cybersecurity Law Blog

Louisiana Enacts Comprehensive Consumer Privacy Law Connecticut Signs Comprehensive AI Bill into Law China CAC Issues Guidance on Conducting Audits Technology Companies Should Prepare for FTC Enforcement of Take It Down Act HHS Reorganizes Office for Civil Rights Oregon Prohibition on Public Body Disclosures to Data Brokers for Federal Immigration Purposes Now In Effect Connecticut Privacy Law Updates: Data Broker Rules, Geolocation Sale Ban, Surveillance Pricing Restrictions, and Genetic Data Regulations UK and Australia Announce Memorandum of Understanding on AI Security FTC Announces Settlements With Three Marketing Firms Over Allegations of Deceptive Statements About Active Listening AI-Powered Services Cybersecurity Authorities Issue Joint Guidance on the Adoption of Agentic AI Systems Colorado AI Act Amended and Effective Date Delayed European Commission Releases Draft Guidelines on High-Risk AI Under the EU AI Act Texas AG Announces Lawsuit Against Netflix for Alleged Misrepresentations Regarding User Data UK ICO Recommends Targeted Changes to PECR Rules for Online Advertising California AG Announces Record $12.75M Settlement with GM over CCPA Data Minimization and Purpose Limitation Violations Illinois Department of Human Rights Issues Regulations Governing the Use of AI in Employment Decisions Delta Dental Agrees to $2.25 Million Settlement with NYDFS Over MOVEit Data Breach Response Maryland Enacts First-of-its-Kind Ban on Surveillance Pricing for Grocery Sales UK ICO Publishes Guidance on Storage and Access Technologies CIPL Report Discusses Significant Alignment between GDPR and Global CBPR CalPrivacy Announces the Agenda for its April 30–May 1 Board Meeting CalPrivacy Requests Preliminary Comments on Notices & Disclosures, Employee Data COPPA Rule Amendment Compliance Deadline Approaches House Republicans Introduce Comprehensive Federal Privacy Bill: “SECURE Data Act” Kentucky Classifies Smart TV Data as Sensitive Alabama Becomes 21st State With Comprehensive Consumer Privacy Law CalPrivacy Director Expects CCPA Compliance Audits in 2026 Virginia Bans Sale of Geolocation Data HHS’ Office for Civil Rights Settles HIPAA Investigation of Health Care Software Company New Jersey Enacts New Restrictions on Health Care Facilities’ Use of Patient Data Washington State Enacts Law Regulating AI Companion Chatbots with Private Right of Action Guardrails for Legal AI: What California’s SB 574 Would Require of Attorneys and Arbitrators
NYDFS Warns of Cybersecurity Risks from Frontier AI Models
2026-06-03 · via Privacy & Cybersecurity Law Blog

On May 21, 2026, the New York Department of Financial Services (“NYDFS”) issued an industry letter warning regulated entities that emerging “frontier AI models” may significantly increase cyber risk by enabling threat actors to identify and exploit vulnerabilities with greater speed, scale, and sophistication. Although NYDFS notes that these models are not yet broadly available, it urges regulated entities to strengthen their security posture now in anticipation of wider deployment. The letter does not create new legal requirements; rather it is intended to inform regulated entities’ existing risk management and compliance efforts under 23 NYCRR Part 500.

NYDFS emphasizes that the best preparation against these emerging risks is a mature cybersecurity program centered on timely vulnerability identification and remediation. Regulated entities are encouraged to revisit their risk assessments, evaluate whether legacy or end-of-life systems should be replaced, and confirm that their cybersecurity programs fully comply with Part 500. In parallel, NYDFS released accompanying guidance on measures organizations should consider in a heightened cybersecurity threat environment, noting that the appropriate response will depend on each entity’s particular operations and risk profile.

The letter highlights several steps entities should consider in light of frontier AI-related threats. These include accelerating vulnerability management timelines, mapping and securing critical third-party and downstream dependencies, strengthening secure programming practices, and increasing monitoring, alerting, and operational resilience testing. NYDFS also specifically notes the importance of validating AI-generated code before deployment and coordinating with service providers to identify and remediate significant vulnerabilities.

The letter reflects NYDFS’s continued focus on AI as a cybersecurity risk multiplier and signals that regulated entities should treat frontier AI as an important factor in current resilience and incident preparedness efforts. NYDFS also points entities to its October 2024 guidance on AI-related cybersecurity risks for additional background.