NeuralTrust Named in Gartner's Agent 365 Report as a Key AI Agent Security Solution

As enterprises race to deploy AI agents, a new Gartner research note makes clear that governance and security cannot be an afterthought. And for organizations operating outside a purely Microsoft stack, the analysts point to a specific set of vendors to close the gap. NeuralTrust is one of them.

The Report

Published in May 2026, "Agent 365: Strong for Microsoft Agents, but Users Still Need Platform-Agnostic Governance and Security" evaluates Microsoft's newly GA'd Agent 365 control plane. The analysts' overall verdict: A365 is a strong foundation for Microsoft-native environments, but its ability to govern third-party agents depends on SDK integration that most enterprises will struggle to implement at scale.

The structural problem Gartner identifies is not unique to Microsoft. Any hyperscaler-led governance model has the same constraint: deep AI agent security requires the external agent to voluntarily adopt the platform's SDK. In practice, that means large portions of an enterprise's agent ecosystem (agents built on AWS, GCP, open-source frameworks, or local endpoints) operate with limited visibility and no runtime enforcement.

Why AI Agent Security Cannot Rely on a Single Platform

The report paints a clear picture of the risk landscape. Agent sprawl, shadow AI, data exfiltration, and the proliferation of vibe-coded artifacts from tools like Cursor or Claude Code are creating security blindspots that traditional perimeter defenses were never designed to handle.

Gartner's framing is useful here: the problem is not that Microsoft Agent 365 is inadequate. It is that the attack surface of modern agentic AI is inherently multi-platform, and no single vendor can unilaterally enforce runtime control once agents operate across another provider's infrastructure or on local endpoints. This is precisely where AI agent security requires a different architectural layer.

The analysts call this layer "guardian agents": independent, vendor-neutral solutions capable of monitoring cross-platform orchestration, blocking risky prompts or data exfiltration, enforcing organizational policy, and doing so without depending on SDK opt-ins from external platforms.

Where NeuralTrust Fits

In the action plan for multi-agent and multiplatform buyers, which Gartner describes as representing the majority of enterprise buyers, the report names NeuralTrust explicitly as a solution to deploy alongside hyperscaler controls:

"Deploy and layer on complementary and independent guardian agents such as... NeuralTrust... These vendor-neutral solutions deliver visibility and control across enterprise agent ecosystems."

This is the problem NeuralTrust was built to solve. Enterprise AI deployments are not monolithic. They span cloud providers, on-premise infrastructure, third-party SaaS agents, and increasingly, autonomous agents running on local endpoints. Effective AI agent security in that environment requires a control layer that operates independently of any single vendor's stack, one that can observe, govern, and enforce policy wherever agents run.

What This Means for AI and Security Leaders

Gartner's strategic planning assumption is direct: by 2029, guardian agents will eliminate the need for almost half of incumbent risk and security systems protecting AI agent activities in over 70% of organizations.

For security and AI leaders evaluating their posture today, the report's recommendation is clear. Start with whatever baseline your primary ecosystem provides. Then layer in platform-agnostic AI agent security to cover the gaps that no hyperscaler can close on your behalf.

NeuralTrust is ready to have that conversation. Get in touch with our AI Security experts.