Future of Cyber Security | The AI Identity Shift

Overview

AI agents are no longer experimental tools operating in sandboxes.

They are provisioning infrastructure, writing production code, interacting with APIs, querying sensitive datasets, and triggering automated decisions across core business platforms. In many environments, they already hold broader system access than most human users.

Yet while AI capability is scaling rapidly, governance maturity is not keeping pace.

Security teams are responding with steering committees, policy documents and review frameworks. Meanwhile, AI agents continue to integrate, authenticate, and act autonomously across cloud, SaaS and internal systems.

The reality is this:

Securing AI is no longer a policy discussion.

It is an identity architecture and platform control challenge.

This exclusive executive session is designed for CISOs, CSOs, CROs, CIOs, and senior cyber security leaders responsible for protecting modern digital estates.

We will explore how forward-leaning security leaders are treating AI agents as a new identity class, applying Zero Trust principles, embedding policy-as-code into shared platforms, and enforcing least privilege at machine speed, without slowing innovation or developer velocity.

What to expect

• Trust Enforcement Zero
• AI Controls Autonomous
• Attendance 200+
• Frameworks Policy-as-Code

What we will cover

• AI Agents as a New Identity Class AI agents behave like users, services and automation pipelines simultaneously, exposing the limits of traditional IAM models built for human or static machine identities.
• The Risk of Over-Provisioned AI Unchecked privilege creep and persistent broad permissions allow AI agents autonomous access to sensitive systems, expanding blast radius without visibility.
• Zero Trust for Autonomous Systems Strong authentication, continuous verification and granular least privilege enforcement must extend to AI identities just as rigorously as human users.
• From Governance to Policy-as-Code Static policies are insufficient; security controls must be embedded directly into platforms through automated, enforceable policy-as-code frameworks.
• Securing Innovation at Scale High-performing organisations are enabling AI experimentation while maintaining guardrails, ensuring security architecture accelerates delivery rather than constraining it.

Agenda

• 2:00 pm When AI Becomes an Identity: Rethinking Enterprise Security for Autonomous Systems(End-to-End Application and Data Protection for AI)

Speakers

• Andrew Brydon · Field Chief Technology Officer APJ, HashiCorp Andrew Brydon is a seasoned technology executive with nearly 25 years of experience across banking, telecommunications, consulting, and high-growth technology environments. As CTO APJ at HashiCorp (an IBM company), he advises enterprise and government leaders on modernising cloud operating models through infrastructure-as-code, zero trust security, and platform engineering. Previously at NAB and Telstra, he led large-scale engineering and data transformations, managing multi-hundred–million-dollar portfolios and teams of up to 400, driving significant productivity gains and cloud adoption at scale. Andrew is a passionate advocate for secure developer enablement, AI-driven engineering, and building platforms that balance autonomy, governance, and innovation.

Partners

• HashiCorp

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