TL;DR
Learn why Cayosoft has been named a Sample Vendor for AI agent action rollback in Gartner’s Hype Cycle for AI Governance Technologies, 2026.
AI agents are gaining the ability to create accounts, change group memberships, and edit policy settings across Active Directory and Microsoft Entra ID, often faster than an administrator could review the change, let alone approve it.
Gartner’s newly published Hype Cycle for AI Governance Technologies, 2026 includes AI agent action rollback as one of the emerging technology categories addressing that shift. Cayosoft continuously drives innovation in this area, giving technical teams a single, reliable way to see, understand, alert on, and reverse identity changes across Active Directory, Microsoft Entra ID, Microsoft 365, and Intune, including changes tied to users, groups, permissions, policies, service accounts, nonhuman identities, and automated or agentic AI-driven activity.
What is AI agent action rollback?
Gartner defines the category as:
“AI agent action rollback identifies, scopes and reverses the effects of autonomous or semiautonomous AI agent actions on enterprise data, backup configurations, identity objects and infrastructure state. It uses agent-aware logging, causal tracing and enterprise recovery mechanisms to restore affected environments to a known good state. Unlike standard restore, it isolates what changed, which agent caused it and what must be reversed.”
Gartner puts the broader trend this way:
“This Hype Cycle signals a market shift from experimenting with AI agents to operationalizing them at scale.”
At Cayosoft, we believe that’s the point where a misconfigured or over-permissioned agent stops being a lab problem and starts being an operational one.
Why identity systems are an early pressure point
Of the systems an AI agent might touch, Gartner calls out identity infrastructure specifically:
“Identity and access systems are emerging as an early pressure point because autonomous changes to directory services, identity providers and access controls can create immediate, organizationwide disruption.”
The mechanics behind that don’t change based on who, or what, makes the edit. An AI agent acting through a service principal’s permissions adds a user to a group, updates a Conditional Access policy, or edits a device compliance setting in Intune through the same Microsoft Graph calls a script or an administrator would use. Every other Microsoft 365 service, including Teams, SharePoint, and Exchange Online, relies on Entra ID to decide who gets access, so a bad change to one group membership or policy doesn’t stay scoped to that one object. It affects every service and app that trusts that identity or policy for authorization.
A common example: an agent handling routine Conditional Access cleanup, told to remove redundant or unused policies, deletes one that happens to enforce MFA for administrators because nothing in its instructions or the policy’s metadata flagged it as protected. The agent didn’t misfire or get compromised; it did the task it was given, just without the context a human reviewer would have caught. Multi-factor enforcement drops for every account that policy covered. The native audit log does record who made the change and retains it, but only for a fixed window by default, and confirming exactly what changed means pulling the before-and-after policy JSON from the log and comparing the two versions yourself.
This example doesn’t require an attacker. An AI agent operating normally, using permissions it was legitimately granted, can produce the same outcome as a misconfiguration, just faster and at a volume no one is reviewing change by change.
Why standard backup and restore isn't built for this
Gartner is specific about why conventional recovery tools fall short here:
“Standard backup and restore are too blunt for many agent-driven incidents. They recover to a point in time, but they do not isolate which changes were caused by a specific agent or preserve unrelated states with targeted precision.”
A full restore reverts everything to a snapshot, including legitimate changes other administrators or processes made in between. In an AD or Entra ID environment where multiple admins, scripts, and service accounts are making changes throughout the day, that isn’t a workable response to a single bad change.
The report is also direct about the limits of rollback as a category:
“AI agent action rollback cannot reverse every outcome: sent communications, executed financial transactions and third-party API actions without undo capability remain outside infrastructure-level recovery.”
Identity and configuration state, the layer Gartner identifies as the early pressure point, is where object- and attribute-level rollback applies.
Why buying another tool won't fix this
One common response to agentic AI risk is another purpose-built monitoring product: a new dashboard, a new set of alerts, one more console to check. For IT and security teams already running a SIEM, an EDR, and a handful of consoles, that adds an interface without closing the actual gap.
An AI agent’s changes to a user, a group, or a policy land in the same directory, through the same APIs, as everyone else’s. The gap for most organizations isn’t a missing dashboard. It’s whether the identity monitoring and rollback they already depend on can attribute that class of change and reverse it.
That’s the reasoning behind extending the Cayosoft Guardian Platform to cover to cover agent and service-account activity rather than shipping a separate AI-specific product. Guardian already tracks service accounts and other nonhuman identities as first-class actors in its change history, alongside human administrators. Covering AI agents means extending that same coverage, not standing up a parallel stack.
Where Cayosoft Guardian fits
Cayosoft Guardian tracks changes across Active Directory, Entra ID, Microsoft 365, and Intune in real time and rolls them back at the object or attribute level, whether the change came from an administrator, a script, a service account, or an AI agent.
For agent-driven activity specifically, that means:
- A change history that shows the actor and the specific before-and-after values for a policy, attribute, or membership at a glance, instead of requiring someone to pull and diff raw audit log entries after the fact.
- Rollback scoped to only what that agent changed: one group membership, one Conditional Access setting, one attribute, without touching changes anyone else made afterward.
- Change history that persists independently of the native logs an agent, or anything using its credentials, could alter, delay, or age out of retention.
- One console covering AD, Entra ID, Microsoft 365, and Intune, so a change that starts in one service and cascades into another (a group edit that also changes Teams access, for example) is visible in the same place.
Whether the edit comes from an administrator working in the Microsoft Entra admin center or an automated identity acting through Microsoft Graph, Guardian logs it, attributes it, and can roll it back at the object or attribute level without a full restore.
AI agents are going to keep gaining standing access to directory services and Microsoft 365 configuration. Here’s the Gartner’s recommendation to the buyers evaluating solutions in this category:
“Distinguish announcements from demonstrated remediation capability; prioritize offerings that provide complete action audit trails and targeted reversal to a known good state after agent-caused corruption, drift or misconfiguration.”
For identity and configuration changes, that’s already coverage Guardian provides, not a roadmap item.
The full Gartner Hype Cycle for AI Governance Technologies, 2026 is available through Gartner subscription access. [Read full report]
Gartner, Hype Cycle for AI Governance Technologies, 2026, Apurva Singh, Michael Hoeck, 7 August 2026.
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See Cayosoft in Action
Cayosoft is recognized by Gartner as an ITDR solution provider and provides solutions that make identities more resilient to attacks and guarantee a fast forest recovery, if needed. Learn how Cayosoft Guardian facilitates granular change tracking, post-breach analysis, and long-term AD security improvements. Schedule a demo to see the capabilities in depth.