Governing the Agentic Enterprise: From Shadow AI to Autonomous Security
Shadow AI has evolved from isolated ChatGPT usage to a systemic enterprise challenge. Employees, departments, and business units are deploying AI agents that autonomously access enterprise data, make decisions on behalf of the organisation, and interact with external parties — all without formal governance or security oversight. This paper maps the shadow AI landscape and provides a comprehensive governance framework for transitioning from uncontrolled AI proliferation to structured, secure autonomous enterprise operations.
The framework addresses discovery and classification of existing shadow AI deployments, risk assessment and prioritisation, governance architecture for autonomous agents, security controls that enable rather than restrict AI innovation, and the organisational structures needed to sustain governance as AI autonomy increases.
- 01The Shadow AI Epidemic
- 02Discovery and Classification Framework
- 03Risk Assessment for Shadow AI
- 04Governance Architecture for AI Agents
- 05Security Controls that Enable Innovation
- 06Autonomous Security Operations
- 07Organisational Governance Structures
- 08Transition Roadmap