We are proud to share that Singulr has been recognized in not one but two Gartner research reports: the 2026 Gartner Market Guide for Guardian Agents and 2026 Gartner Emerging Tech: Top-Funded Startups in AI Model and AI Agent Management Platforms. We believe that together these recognitions reflect what we have believed from the beginning: that enterprises need a real control system for AI, not more documentation, not more dashboards, and not a patchwork of point solutions.
The Control Gap Is Real, and It Is Growing
Here is a scenario playing out across enterprises right now. A security team deploys an AI agent to automate a procurement workflow. The agent is configured with what seem like reasonable permissions. Six months later, that agent is invoking APIs it was never explicitly authorized to use, accessing data outside its original scope, and passing outputs into downstream systems no one mapped at design time. No policy was violated in writing. Nothing triggered an alert. The drift happened gradually, invisibly, and the security team only finds out when something breaks.
That is the control gap. And it does not close itself.
Most enterprises are not unprepared for AI because they lack policies. They are unprepared because their policies are not enforced in real time across live systems and agentic workflows. Controls get deployed, assumed to be working, and never verified against actual runtime behavior. Configurations drift. Permissions expand. Agentic systems invoke tools and interact across services in ways that were never anticipated at design time. And because none of this is enforced dynamically, security teams end up absorbing the consequences of governance failures that should have been caught far upstream.
Singulr is the enterprise AI and agentic control plane that ensures governance is enforceable, controls are effective, and delivers measurable security outcomes. We connect design-time validation through Singulr Runtime Governance™, Singulr Runtime Control™, and Singulr Runtime Security™ into a single closed-loop system. Each stage feeds the next. Control effectiveness is measured, not assumed. And the Assurance Layer provides independent, tamper-evident proof that policies are being followed, not just written.
What Singulr Delivers Across These Categories
For guardian agent supervision: Singulr enforces agent permission boundaries at execution time, maps agentic dependencies, and tracks enforcement reliability across cross-system interactions. Agents that know their own boundaries are not a security aspiration. They are an engineering outcome.
For real-time AI governance and operational control: Singulr operationalizes governance by mapping policies and risk thresholds to live AI systems, measuring control performance at runtime, and identifying control drift before it becomes a security incident. Through Singulr Pulse™, organizations get continuous risk intelligence across their AI environment, not a static snapshot.
Why We Believe These Reports Matter
The Market Guide for Guardian Agents explores emerging technologies designed to supervise AI agents and ensure their actions remain aligned with enterprise policies and operational boundaries. As agentic AI moves from concept to production, the need for systems that enforce boundaries at runtime, not just define them in policy documents, has become urgent. In our view, this is precisely the problem Singulr was built to solve.
The Gartner Emerging Tech: Top-Funded Startups in AI Model and AI Agent Management Platforms examines how organizations are shifting away from static AI oversight toward real-time governance and operational control across AI systems. That shift mirrors the core insight at the heart of Singulr: governance that is not enforced dynamically is just documentation.
We feel, being named in both reports signals that the market is aligning around a category that Singulr has been defining since day one: the Enterprise AI and Agentic Control Plane.
Leadership Perspective
"In our opinion, being named in two Gartner® reports is meaningful because of what the reports are about. Guardian agents. Real-time governance. Operational control across AI systems. These are exactly the problems we built Singulr to solve. The market is catching up to what our customers already know: you cannot govern AI with documentation, and you cannot secure AI without first controlling it. Singulr is that control system."
Shiv Agarwal, CEO and Co-Founder, Singulr
Frequently Asked Questions
What is Singulr?
Singulr is the enterprise AI and agentic control plane that transforms AI governance from static policy into enforceable, measurable, and effective control across the entire AI lifecycle. It connects design, governance, runtime enforcement, and security into a single closed-loop system.
Is Singulr an AI security tool?
No. Singulr is an AI control plane. Security is one outcome of effective control, addressed through Singulr Runtime Security™, but control is the center of what Singulr does. Security teams benefit because upstream governance enforcement reduces the volume of escalations they have to absorb.
What is the Singulr Assurance Layer?
The Singulr Assurance Layer provides independent, tamper-evident verification of AI control performance. It is not governance reporting. It is longitudinal proof that AI systems are operating within approved boundaries, in a form that is defensible to auditors, boards, and regulators.
How does Singulr handle agentic AI specifically?
Singulr enforces agent permission boundaries at runtime, maps cross-system agentic dependencies, detects prompt injection and adversarial behavior in agentic workflows, and tracks enforcement reliability as agents operate in production. Agentic systems are not an edge case for Singulr. They are a core design requirement.
How is Singulr different from observability or monitoring tools?
Observability tools show you what is happening. Singulr ensures the right thing is happening. We enforce governance at runtime, measure whether controls are performing effectively, and reduce security noise by preventing avoidable failures upstream.
Gartner Disclaimer
Gartner, Market Guide for Guardian Agents, Avivah Litan, Daryl Plummer, Carlton Sapp, Dionisio Zumerle, Tom Coshow, Max Goss, Lauren Kornutick, 25 February 2026
Gartner, Emerging Tech: Top-Funded Startups in AI Model and AI Agent Management Platforms, Annette Zimmermann, Anushree Verma, 20 February 2026
*Gartner is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved. Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
Singulr AI Named in Two Gartner® Reports, Recognized Across AI Agent Supervision and Real-Time AI Governance




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