Governing AI Agents at Scale: Identity, Scope, and Observability (with Glean and Cvent)
Why It Matters
Without dedicated governance and observability, AI agents expose enterprises to security, compliance, and operational risks that can outweigh their productivity gains.
Key Takeaways
- •Education on AI agents required from board to staff.
- •Traditional IAM controls fail for non‑deterministic AI agents.
- •Observability gaps hinder compliance with EU AI Act.
- •Glean’s AWARE framework maps intent, context, guardrails, risk, ecosystem.
- •Mandatory AI literacy training drives cultural shift and faster adoption.
Summary
The discussion centers on governing enterprise AI agents at scale, featuring Cvent’s CIO Pradeep Manakkara and CISO Ben Mayrides alongside Glean’s Work AI Institute. They highlight the rapid adoption of over 6,000 agents within Cvent’s SaaS platform and the urgent need for a structured governance model such as Glean’s AWARE framework.
Key challenges include a pervasive education gap from the boardroom down, the mismatch of traditional deterministic IAM architectures with the non‑deterministic nature of AI agents, and limited observability that hampers both security incident response and compliance with regulations like the EU AI Act. The AWARE framework addresses these by defining five pillars—intent, context, guardrails, risk scoring and blocking, and ecosystem observability—providing purpose‑built technical controls.
Notable moments include Ben’s remark that “agents are valuable for what they can do for us, but also to us,” the pilot that saved Cvent nine months of development time, the creation of an AI Council, and the rollout of mandatory AI‑literacy training attended even by the CEO. These examples illustrate how cultural shifts and concrete processes can turn AI potential into measurable ROI.
The implications are clear: enterprises must blend rapid innovation with disciplined risk assessment, embedding frameworks like AWARE into product development, finance, and security workflows. Doing so enables faster, compliant deployments while protecting against opaque agent behavior, ultimately safeguarding both the bottom line and regulatory standing.
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