AI is now embedded across enterprise environments. From copilots and automation to AI-driven services, systems are accessing data, making decisions and triggering actions with increasing autonomy.
The challenge is not adoption. It is control.
Join the session and receive the AI Risk Assessment Framework - a practical model to identify and manage AI risk in your environment.
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Most organisations cannot clearly answer the most fundamental questions about AI in their environment.
What AI has access to across identity, cloud and data remains unclear in most enterprise environments.
What actions AI can take across systems and networks is often unknown and ungoverned.
How AI actions are governed and enforced remains inconsistent or entirely absent across most organisations.
How the associated risk is being measured and managed is a question most security teams cannot answer.
This is creating a new class of exposure:
Rapid growth of non-human identities with privileged access
Uncontrolled access to sensitive data across cloud and SaaS
Increased attack surface across distributed environments
Limited visibility of real, exploitable risk
This is not a future problem.
It already exists in most organisations today.
And most security architectures were not designed for it.
Practical insight into where AI risk is building and how to regain control across your enterprise environment.
Where AI is already introducing risk across identity, network, cloud and data.
Why traditional security models break down in AI-enabled environments.
How to regain control over non-human identities and autonomous access.
How to gain real visibility of AI-related risk across cloud and SaaS environments.
How to protect sensitive data from uncontrolled AI access and exposure.
What a simplified, platform-led security architecture looks like in practice.
AI is being layered onto already complex environments. That complexity is now the biggest root cause of cyber risk and spiralling costs.
This session is designed for senior leaders responsible for security, cloud and AI adoption across the enterprise.
Security leaders who need to understand and manage AI-related risk across the organisation.
Technology leaders driving AI adoption who need to balance innovation with security and compliance.
Leaders responsible for cloud infrastructure, identity management and enterprise security architecture.
AI is being layered onto already complex environments. That complexity is now the biggest root cause of cyber risk and spiralling costs.
This session will show how to simplify control across identity, network, cloud and data - so AI can be adopted securely without increasing exposure, operational overhead or cost.
Register to join the session and receive the AI Risk Assessment Framework - a practical model you can use to identify where AI is already creating risk in your environment and how to regain control.