Topic starter
23/09/2026 1:18 pm
TL;DR: C1.ai’s Transform 2026 agenda centres on AI agent governance after the credential perimeter, runtime choices for sandboxes, and where agents create real value in security operations. The practical issue is no longer model quality alone; execution context, privilege, and judgment boundaries now determine whether agents are governable or merely fast.
Editorial analysis by NHI Mgmt Group, based on content published by C1.ai: “Transform 26 CONFERENCE 2026 26”.
Key questions
Q: How should security teams govern AI systems that can act without human approval?
A: Security teams should govern autonomous AI the same way they govern other high-risk identities, but with runtime enforcement instead of periodic review.
Q: Why do AI agents create risk even when they stay within approved permissions?
A: AI agents can be authorised correctly and still produce harmful outcomes because permission is not the same as intent or behavioural appropriateness.
Practitioner guidance
- Define agent authority boundaries Document exactly which actions an agent may take, which tools it may call, and which approvals are required before execution.
- Separate sandbox runtime from production trust Test whether the chosen runtime can enforce isolation for credentials, network access, task state, and termination across agent sessions.
- Inventory agent credentials and approvals Track every token, service account, or delegated identity used by an agent so offboarding and revocation are possible at task completion.
Bottom line: AI agent governance now sits at the intersection of identity, authorisation, and runtime control, not just model policy.
What to expect at the briefing
C1.ai's full event page covers the operational detail this post intentionally leaves for the source:
- Session-by-session agenda detail for AI agent governance, runtime control, and security operations
- Speaker lineup and role context for practitioners comparing governance, architecture, and security viewpoints
- Event logistics, venue information, and timing for attendees planning to join the conference
- The specific sequence of talks covering agent sandboxes, runtime boundaries, and operational use cases
👉 Read C1.ai's agenda for AI agent governance and runtime control at Transform 2026 →
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23/09/2026 1:18 pm
Agent governance is now an identity problem, not only an AI problem: once software can decide when to act, the security question becomes who or what authorised that action and under which constraints. Traditional approval workflows assume a human remains in the loop long enough to inspect the act before execution. In agentic systems, that assumption breaks, so identity, privilege, and runtime policy have to be managed together. Practitioners should treat agent authority as a governed identity plane.
A question worth separating out:
Q: How should organisations decide which security operations are suitable for agentic automation?
A: Use reversibility and decision risk as the main filters. Good candidates are tasks with constrained inputs, observable outputs, and low-cost rollback. Poor candidates are actions that require broad judgment, have irreversible impact, or depend on context that a model cannot reliably validate on its own.
👉 Read our full editorial: AI agent governance and runtime control are the real conference agenda