Announcements from Glean Team

Dig into how Cvent scaled to over 6,000 AI agents for 5,500 employees by building agent literacy and security controls in parallel.

A few things from the CXOTalk conversation with Cvent's CIO and CISO that stand out:

"Risk is too high is never the final answer. It's only ever 'risk is too high 

 That reframe alone could change a lot of stalled AI initiatives.

 (intent, context, guardrails, runtime risk, observability) to get CIO and CISO working from the same evaluation criteria instead of gut-feel objections.

ROI gates before security review meant the CISO's team only ever looked at agent proposals the business had already validated as worth pursuing — turning security from gatekeeper into partner.

Sandbox-first: no production access until an agent proves itself in isolation.

How to get your CISO's green light on AI agents

Are you asking security to approve agent use cases one by one, or aligning on a shared framework first?

Which guardrails have mattered most in practice: access controls, observability, runtime controls, or sandboxing?

Has "risk is too high" been the default answer at your company? What actually moved it forward?

Where is the biggest blocker in your org right now when moving agents from experimentation to production?

I would love to hear what's working (or not) for your team.

Getting your CISO to say yes to AI agents — what's actually working?

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