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Singulr AI Expands Agent Governance to Local AI on Employee Endpoints

Singulr AI Expands Agent Governance to Local AI on Employee Endpoints

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Unified governance and controls now span cloud agentic platforms, browser-based AI, local AI desktop applications, coding assistants, MCP, and AI gateways

Singulr AI, the enterprise AI and agentic control plane company, announced a major expansion of Agent Pulse, extending runtime governance to endpoint AI agents including Claude Code, Cowork, Cursor, ChatGPT Desktop and the growing Model Context Protocol (MCP) ecosystem. Singulr also extended its controls to AI Gateways such as LiteLLM and homegrown agentic applications via the Singulr SDK. The expansion builds on the launch of Agent Pulse earlier this year as enterprise AI adoption continues to accelerate.

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The expanded Agent Pulse gives security, IT, privacy, and risk teams consistent governance wherever AI is actually operating.

Enterprise AI Is Expanding Faster Than Governance

AI agents are no longer confined to cloud platforms and browser-based tools. Developers are running coding assistants like Claude Code, Codex and Cursor on their workstations, employees are using desktop agents such as Claude Cowork and ChatGPT Desktop, and platform teams are deploying AI gateways. Meanwhile, agents are accessing enterprise applications and data through MCP servers, with employees often connecting untrusted servers directly to local AI tools. Together, these shifts are creating critical new risk vectors that traditional security controls were not designed to address.

The result is a widening gap between AI adoption and enterprise governance. Few organizations have consistent controls across their fragmented endpoint, network, cloud, and identity systems – let alone across emerging agentic technologies. Singulr closes this gap with a unified control plane that delivers visibility and runtime control across browser-based tools, endpoints, gateways, and agentic platforms. Singulr’s layered defense unifies the controls enterprises already have rather than displacing them, and extends deep into the agentic ecosystem through a native browser extension and endpoint sensor.

What’s New

The expanded Agent Pulse gives security, IT, privacy, and risk teams consistent governance wherever AI is actually operating:

  • Governance that follows AI onto developer workstations via a lightweight endpoint sensor, covering desktop agents and coding assistants
  • Complete coverage for the Claude ecosystem including Claude, Claude Code, and Claude Cowork
  • Inspection and content guardrails for AI Gateways such as LiteLLM
  • Threat analysis and runtime controls for the Model Context Protocol ecosystem
  • Deep analytics and dashboards on M365 and Gemini usage and access
  • Runtime control for homegrown agentic applications via Singulr SDK

These capabilities are powered by Singulr Pulse™, the context and AI risk intelligence engine that applies governance consistently across applications, infrastructure, and agentic workflows. Singulr Pulse maps over 2 million signatures of AI assets and risks, including MCP servers – one of the most vulnerable points in the emerging agentic stack.

“The perimeter has moved,” said Shiv Agarwal, co-founder and CEO of Singulr AI. “AI agents are running on employee endpoint devices, interacting with enterprise tools and accessing data through MCP. Organizations moving fast with agentic AI need governance that keeps pace, and now they have it. Agent Pulse is the only runtime control plane that follows AI wherever it operates, from the browser to the endpoint to the agentic workflow, while preserving the context and policy alignment enterprises need.”

Trace3, an IT consulting and services company specializing in AI, data, cloud and cybersecurity, uses Singulr AI to help govern enterprise AI adoption.

“Our clients are accelerating their adoption of agentic AI, and we’ve experienced that same shift internally,” said Bryan Kissinger, PhD, SVP of Security Solutions and Networking and CISO at Trace3. “The challenge isn’t simply discovering AI applications anymore; it’s understanding what autonomous agents are doing, what systems they’re connected to, and ensuring they operate within policy. As a Singulr customer, we’ve seen the value of having a unified control plane that provides visibility, governance, and verifiable assurance for AI agents as they’re introduced into the enterprise. It’s an important capability for organizations that want to innovate without sacrificing security or trust.”

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