When AI leaves the chat and enters the workflow
A practical guide for GRC professionals on how to bridge the gap between trust and control by identifying every autonomous AI agent, assigning a responsible party to it and managing it.
Agent-based AI is being integrated into critical workflows faster than governance can keep pace. Whilst 58 per cent of executives believe that control mechanisms are keeping pace, only 18 per cent are actively mitigating most identified AI risks, and just 19 per cent can identify cross-functional risks in real time. This report shows GRC and risk managers how they can redesign accountability for autonomous systems:
Agent-based AI is being integrated into critical workflows faster than governance can keep pace. Whilst 58 per cent of executives believe that control mechanisms are keeping pace, only 18 per cent are actively mitigating most identified AI risks, and just 19 per cent can identify cross-functional risks in real time. This report shows GRC and risk managers how they can redesign accountability for autonomous systems:
- Create a centralised agent register
- Appoint a human point of contact
- Verify the authority to shut down systems
- Link every action to supporting documentation
Get the guide to transitioning from distributed responsibility and static workflows to proactive, AI-driven GRC.
Proveedor: Optro, Inc. | Tamaño: 1,72 MB | Idioma: Inglés