Webinar Description
Key Takeaways
- Hands-on virtual lab focused on implementing identity governance for AI agents using Okta
- Addresses critical security gaps when autonomous AI systems access enterprise infrastructure
- Covers agent registration, access scoping, authorisation policies and audit trail generation
- Applicable to various AI agents including Claude Code, Copilot and Cursor
- Designed for security, identity and compliance professionals working with agentic AI deployments
Introduction
Tech{Camp} Agentic AI is a virtual hands-on lab scheduled for 20 August 2026, designed for security and identity professionals seeking practical experience in governing autonomous AI systems. The session addresses one of the most pressing challenges in enterprise AI adoption: establishing identity, accountability and control over AI agents that interact with business-critical systems. As organisations increasingly deploy agentic AI to automate workflows across platforms such as ServiceNow, Salesforce and Jira, the absence of proper identity governance creates significant security and compliance risks.
The Identity Gap in Agentic AI
AI agents operating without formal identity management present a fundamental governance problem. These autonomous systems can access sensitive data, execute transactions and interact with multiple backend services, yet they often lack the basic accountability mechanisms that organisations apply to human users. Without proper identity controls, AI agents effectively operate as untracked entities within enterprise infrastructure—there is no clear ownership, no comprehensive audit trail and no reliable mechanism to revoke access when necessary.
This governance gap becomes particularly acute as agentic AI moves from experimental deployments into production environments. Compliance teams require demonstrable evidence of who authorised an agent’s actions, what data it accessed and how its permissions were scoped. Traditional access management approaches, designed primarily for human users, do not adequately address the unique characteristics of autonomous software agents that may operate continuously and make decisions independently.
Practical Identity Implementation with Okta
The lab provides participants with direct experience configuring an identity layer for a functioning AI agent using Okta’s platform. The curriculum progresses through several stages, beginning with registering the agent as a first-class identity within the system. This foundational step establishes the agent as a recognised entity with its own credentials and lifecycle management, rather than an anonymous process executing with borrowed or static credentials.
Subsequent modules cover the configuration of authorisation servers, the definition of access scopes and the implementation of policies that govern what resources the agent can access on behalf of specific users. This per-user scoping ensures that an agent’s capabilities remain bounded by the permissions of the human who initiated its actions, maintaining the principle of least privilege even in automated workflows.
The session culminates in generating a complete audit trail suitable for compliance review. Participants observe governed access in action and learn how to produce documentation that demonstrates proper oversight of AI agent activities.
Who Should Attend
This lab is suited to identity and access management professionals, security architects, compliance officers and platform engineers responsible for integrating AI capabilities into enterprise environments. The no-code format makes it accessible to those without development backgrounds while still providing substantive technical content. The patterns demonstrated apply broadly across different AI agent implementations and backend systems, making the knowledge transferable to various organisational contexts and technology stacks.
Broader Implications for Enterprise AI Governance
As agentic AI becomes embedded in core business processes, the ability to govern these systems with the same rigour applied to human access will increasingly determine which organisations can deploy AI responsibly at scale. Establishing robust identity foundations now positions teams to expand AI capabilities while maintaining the security posture and compliance standing that regulators and stakeholders expect.