Date: Thursday, 7th May 2026 | Time: 12noon | Location: Online
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.
Most organisations cannot clearly answer:
- What AI has access to across identity, cloud and data
- What actions it can take across systems and networks
- How those actions are governed and enforced
- Or how the associated risk is being measured and managed
At the same time, attackers are using AI to identify weaknesses, exploit gaps and move faster than traditional controls can respond.
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.
What You’ll Learn
- 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
Who Should Attend
CIOs, CISOs and senior technology leaders responsible for security, cloud and AI adoption.
Why Attend
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.