

AI Agents: Security at Scale

Welcome to 'AI Agents: Security at Scale'
The London AI Hub is delighted to host our next roundtable on securing AI agents at scale, in partnership with Hodor. It gathers CISOs, CTOs, and Heads of AI around a hard problem: how do you put agents into production without handing them the keys to your tools, your data, and your services?
Connect an agent to APIs, databases, and services and, by default, little stops it acting at the wrong moment on the wrong data. This roundtable is about the governance and security layer that has to exist before AI at scale is actually safe.
Why this topic and why now
The people deploying AI inside large organisations are hitting the same wall: pressure to ship agentic systems is high, the tooling for governing them is immature, and the failure modes are unfamiliar.
On the table
- Least privilege for agents. Exposing only the tools an agent genuinely needs, and nothing more.
- Policy on payloads, not just tools. Rules on the content sent to and returned from tools, so behaviour stays inside expected bounds.
- Closing the behaviour gap. Mapping allowed behaviour to expected behaviour so there is no room for unexpected tool calls.
- Governance that scales. Standardising controls across many agents and teams without grinding delivery to a halt.
You'll leave with
A clearer picture of how other practitioners are really governing agents in production, a handful of peers facing the same risks, and a few assumptions about "safe enough" worth revisiting.
Who should attend
- CISOs and security leaders deploying or vetting AI inside the business.
- CTOs and Heads of AI responsible for shipping agentic systems at scale.
- Engineers and architects building the connective tissue between agents and internal tools.
Event Details
- Date: Monday, 22 June
- Time: 9am - 11am
- Location: London AI Hub, 140 Goswell Road, EC1V 7DY
Event Schedule
9:00 AM – Arrival and networking
9:20 AM – Set the scene presentation
9:40 AM – Roundtable discussion
10:40 AM – Networking
11:00 AM – Close
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