Insights
As organisations scale their use of agentic AI from controlled experiments to autonomous workflows, their identity and cyber security exposure can increase rapidly. Unlike standard generative AI tools, agents can access business data, call tools, connect with supplier systems and take action at machine speed. This creates a growing population of non-human identities that can accumulate excessive permissions, rely on static credentials and operate beyond established security processes.
Scaling agentic AI shouldn’t mean introducing unmonitored access and uncontrollable risk. Download our guide to explore a practical framework for starting with low-risk use cases and embedding identity management, zero-trust controls, human accountability and continuous monitoring before autonomy expands.
What’s inside?
- Identify the right starting points: Learn how to determine whether a task genuinely requires an agent and select narrow, low-risk use cases that can be safely reviewed before wider deployment.
- The non-human identity challenge: Understand how agent identities, excessive permissions, static credentials and secret sprawl create new security and accountability risks
- The core security controls: Explore practical strategies for applying least privilege, short-lived credentials, human-in-the-loop governance, behavioural monitoring and rapid access revocation.
- Phased adoption roadmap: A step-by-step guide to moving from discovery and controlled pilots to identity modernisation, zero-trust alignment and evidence-led scaling.
