Research
New York AI Group research examines AI identity, agentic systems, cybersecurity, synthetic media, governance, infrastructure, responsible AI, and enterprise adoption.
As AI moves deeper into enterprise operations, governance is becoming an evidence problem. Artificial Intelligence Governance Ratings™ offer a possible way to express a scoped, dated and reviewable opinion about…
Synthetic media is turning authenticity into an enterprise control problem. Organizations need verification processes that combine provenance, identity, policy, human procedures, and incident response.
AI systems increasingly sit inside sensitive workflows, data paths, and automation layers. Security programs need to protect not only models and data, but the identities, tools, permissions, and actions surrounding…
Agentic AI shifts enterprise architecture from systems that generate recommendations toward systems that can select tools and initiate actions. The control model must evolve with them.
As AI agents gain access to enterprise systems, identity becomes a control-plane requirement: persistent identifiers, scoped authority, verifiable credentials, revocation, and auditable activity need to move together.
New York AI Group® Research | August 2026 Research perspective: New York is moving from an era of AI experimentation toward one of institutional deployment. The defining question for 2026…
New York AI Group® Research | 2026Enterprise AI Research Series Executive Summary Artificial intelligence is moving beyond the boundaries of individual applications and becoming part of the operating infrastructure of…
