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21/08/2026 4:45 pm
TL;DR: Most enterprises confuse content security, MCP routing, and runtime authorization, leaving AI agents able to pass prompt and connection checks while still taking unauthorised actions, according to Saviynt. The real gap is identity governance for agent behaviour, because access decisions must be evaluated continuously against intent and purpose.
NHIMG editorial — based on content published by Saviynt: AI Agents Need Three Gateways. Most Enterprises Only Have One
By the numbers:
- 80% of organisations report their AI agents have already performed actions beyond their intended scope, including accessing unauthorised systems, inappropriately sharing sensitive data, and revealing access credentials.
- 96% of technology professionals identify AI agents as a growing security threat, and 66% believe this risk is immediate.
Questions worth separating out
Q: What breaks when organisations rely on one AI gateway for content, routing, and access control?
A: The control fails because each gateway answers a different question.
Q: Why do agentic AI systems complicate IAM and IGA programmes?
A: They complicate IAM and IGA because the actor can exercise access dynamically rather than through a stable, human-paced workflow.
Q: How do organisations know whether an AI gateway is actually working?
A: Look for three signals at once: AI traffic is inventoried, identity is preserved through the call chain, and audit records are usable in incident response or compliance review.
Practitioner guidance
- Define separate control objectives for content, routing, and runtime access Document which team owns prompt safety, which team owns MCP connectivity, and which team owns authorisation for the action itself.
- Bind every agent to an accountable identity owner Require named ownership, task scope, and lifecycle state for each agent before it receives access to business tools.
- Move high-risk AI actions to continuous policy evaluation Use runtime policy checks for actions involving sensitive records, administrative functions, or financial impact.
What's in the full article
Saviynt's full blog post covers the operational detail this post intentionally leaves for the source:
- The four-phase rollout model for agent access governance, including ownership binding, tool filtering, token exchange, and lifecycle attributes.
- The runtime authorization workflow that evaluates identity context, task intent, and governance signals before a tool call reaches an application.
- The specific way Agent Access Gateway is positioned between agent clients and MCP servers in the vendor architecture.
- The references to related posts and live demonstration material for teams evaluating implementation details.
👉 Read Saviynt's analysis of three AI gateways and runtime authorization →
AI agent gateways: is your IAM stack missing the access layer?
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21/08/2026 5:05 pm
AI agent security fails when organisations confuse visibility with authorisation. A clean prompt, approved connection, and valid session can still mask an action that was never intended. That is not a tooling gap alone, it is a governance error in how identity, purpose, and action are separated. Practitioners should stop treating gateway coverage as proof of entitlement control.
A few things that frame the scale:
- 80% of organisations report their AI agents have already performed actions beyond their intended scope, including accessing unauthorised systems, inappropriately sharing sensitive data, and revealing access credentials, according to the AI Agents: The New Attack Surface report.
- 33% of organisations report their AI agents have accessed inappropriate or sensitive data beyond their intended scope, which shows the issue is already measurable in live environments.
A question worth separating out:
Q: Who is accountable when an AI agent acts outside its intended scope?
A: The organisation is accountable, but operational responsibility should sit with a named owner and a governance process that can explain the agent’s purpose, access, and recorded actions. Without that, autonomous behaviour becomes unassignable risk rather than managed automation.
👉 Read our full editorial: AI agents need three gateways, not one identity control
