Executive Summary: The shift from assistive to agentic AI is real, and it is happening in GRC right now. But for risk and compliance specifically, agentic AI only delivers value when the platform it runs in can answer four questions about every agent action: what did it do, why, on whose authority, and where is the evidence? Most agentic AI in the GRC market today cannot answer all four. The ...
Artificial intelligence is moving quickly from experimentation to everyday use. As AI systems influence decisions and automate processes, the question leaders face is no longer whether to use AI, but how to manage the risks that come with it. That challenge has pushed organizations to seek practical guidance on AI risk mitigation, and the NIST AI Risk Management Framework has emerged as a widely trusted reference point. The NIST Artificial Intelligence Risk ...
As artificial intelligence accelerates across GRC (Governance, Risk, and Compliance), many organizations are treating AI compliance as a technology problem. Focusing on models, tools, and technical controls, while overlooking the governance structures needed to manage risk at scale. But AI compliance failures rarely stem from technology alone. They stem from unclear ownership, inconsistent policy enforcement, and lack of oversight. AI compliance is not just a technology ...
If you work in compliance today, you know the ground is moving under your feet. Regulatory change is accelerating across every major jurisdiction. You are managing everything from GDPR and DORA in Europe to fast-evolving AI and ESG mandates globally. Regulators now expect more than just answers; they expect timely, evidence-backed responses and digital audit trails. Legacy systems were not designed for this environment. Static ...
