Singulr AI (Singulr), an emerging leader in AI governance and security, has introduced Agent Pulse, a new capability designed to extend its Unified AI Control Plane to autonomous AI agents and Model Context Protocol (MCP) servers. With this launch, the company aims to deliver stronger runtime governance, contextual discovery, and measurable oversight for organizations building and deploying agentic AI systems.
As enterprises increasingly adopt autonomous AI agents, governance and security have become critical concerns. In response, Singulr designed Agent Pulse to operate at the exact moment AI agents perform actions. As a result, enterprises can maintain tighter control over how agents behave, which systems they access, and how risks evolve across interconnected digital environments.
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Agent Pulse functions as a comprehensive extension of the Unified AI Control Plane for the growing agentic workforce. Specifically, the platform combines agent governance, security posture management, usage intelligence, data protection, and real-time enforcement into a unified operational framework. Consequently, enterprises gain continuous visibility into the activities and interactions of AI agents operating within their infrastructure.
“AI governance requires a purpose-built platform,” said Shiv Agarwal, Co-Founder and CEO, Singulr AI. “Legacy solutions that simply extend coverage to AI lack the focus, depth, and context required to manage the unique risks and behaviors of agents. Security is ultimately an outcome of strong controls, and as AI agents gain more autonomy, governance must operate at the moment an action is being taken. With Agent Pulse, we bring enforceable runtime control to the enterprise so companies can innovate quickly while maintaining accountability, traceability, and policy alignment.”
To ensure comprehensive protection and oversight, Agent Pulse introduces four key integrated capabilities.
First, Agent Discovery provides continuous visibility into AI agents running across various platforms. It also builds a contextual graph that maps tool connections, data access pathways, MCP servers, and permission chains. Through this approach, enterprises can clearly understand how AI agents interact with enterprise systems.
Next, Agent Risk Intelligence, powered by Singulr Trust Feed, continuously evaluates each agent’s security posture. It analyzes factors such as model access, MCP server configurations, and connected tools. In addition, the system uses AI red-teaming simulations to test agents against adversarial prompts, tool misuse, and potential data exfiltration attempts. This dynamic evaluation allows organizations to classify risks in real time as environments evolve.
Furthermore, Agent Governance enables enterprises to define and enforce policies aligned with agent type, data sensitivity, tool permissions, and operational scope. The system also tracks configuration changes and runtime drift over time to ensure compliance with governance standards.
Finally, Agent Runtime Controls provide real-time enforcement across agent interactions. These controls actively prevent unauthorized system access, prompt injection attacks, and potential data leakage during agent execution.
“At Delta Dental, protecting member information is foundational to our mission,” said Alex Green, Chief Information Security Officer, Delta Dental Plans Association. “As AI becomes more autonomous, invoking tools and operating across increasingly agentic workflows, governance has to be something you apply continuously. The only way to successfully manage this at scale is through a unified approach that enforces governance controls, provides visibility across agents, models, and tools, and continuously measures whether safeguards are working as designed. As agentic architectures become more common, that level of live, measurable governance becomes essential infrastructure.”
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Industry experts also see the platform as an important step toward bridging the gap between AI risk assessment and real-world operational controls.
“As organizations adopt AI and agentic technologies, one of the biggest challenges is understanding where risk actually exists and how to manage it responsibly,” said Terry Kurzynski, Founder and Chief Security Advisor, HALOCK Security Labs. “At HALOCK, we work with clients to perform structured risk assessments that surface both known and unknown exposures and define what must be controlled. Our partnership with Singulr creates a natural path from assessment to action. By connecting the risks uncovered during evaluation with Singulr’s runtime governance and control capabilities, organizations can move quickly from understanding their AI risk posture to actively managing and addressing the risks as these environments evolve and they continue to scale AI adoption.”
Moreover, Agent Pulse maintains Singulr’s integration-first philosophy. Enterprises can deploy the platform while continuing to use their existing IT and security investments. The solution supports multiple deployment models and integrates with leading agentic platforms such as Copilot Studio, AWS Bedrock, Azure Foundry, GCP Vertex AI, Databricks, ServiceNow Now Assist, CrewAI, LangGraph, OpenTelemetry trace-based agents, GPTs on ChatGPT, and n8n.
By correlating activity across systems such as SSO, EDR/XDR, SIEM, SaaS applications, gateways, and agentic platforms, Singulr delivers enterprise-wide visibility into AI operations. Consequently, organizations can achieve contextual governance and risk management that traditional network- or endpoint-focused tools often fail to provide.
Founded in Palo Alto, California, Singulr AI positions its platform as a Unified AI Control Plane for the agentic enterprise. The company aims to transform AI governance from static documentation into enforceable and measurable runtime controls, enabling organizations to scale AI innovation safely across cloud, SaaS, and enterprise environments.
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