Insights from RSAC 2026: Navigating Industry Challenges Together

TL;DR: Unosecur says AI agents are entering enterprises through coding tools, embedded SaaS features, and custom builds faster than identity teams can inventory or govern them. The gap is not adoption itself, but the absence of unified identity, access, and runtime control across human, NHI, and agent populations.

Editorial analysis by NHI Mgmt Group, based on content published by Unosecur: “RSAC 2026: Why AI Agent Security Starts and Ends With Identity”.

Key questions

Q: What breaks when AI agents are given access without identity governance?

A: What breaks is accountability.

Q: Why do AI agents expose more risk when identity governance is fragmented across tools?

A: Fragmentation makes access decisions, visibility, and response depend on different systems that do not share the same context.

Q: How should security teams govern managed MCP access for AI clients?

A: Security teams should treat managed MCP as a federated resource server and issue identity-bound tokens for each delegated task.

Practitioner guidance

• Inventory agent entry points Catalogue every developer tool, SaaS feature, and custom build that can create or expose AI agent identities, then map the permissions those agents inherit by default.
• Govern MCP-connected access paths Treat every Model Context Protocol connection as a governed access path and record which tools, databases, and APIs each agent can reach at runtime.
• Enforce runtime access decisions Replace manual approval loops with task-scoped enforcement for agent sessions so access is issued, used, and revoked within the same control boundary.

Bottom line: AI agents are slipping into enterprises through multiple channels, and the main governance problem is fragmented identity control rather than adoption volume.

What's in the full article

Unosecur's full blog post covers the operational detail this post intentionally leaves for the source:

• The article's first-hand RSAC 2026 observations on how practitioners described agent identity risk in live conversations
• The specific examples of AI coding tools, embedded SaaS agents, and custom builds that are expanding the agent estate
• The article's detailed explanation of why unified identity coverage is needed across humans, NHIs, and agent identities
• The sequence the author describes for starting with discovery, then runtime access enforcement, then contextual remediation

👉 Read Unosecur's analysis of AI agent identity risk at RSAC 2026 →

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