Runtime Governance and Visibility for AI Agents with Singulr AI’s Agent Pulse
Singulr AI Launches Agent Pulse for Enforceable Runtime Governance of Autonomous AI Agents
Singulr AI has introduced Agent Pulse, an extension of its Unified AI Control Plane, designed to provide enforceable runtime governance and visibility for autonomous AI agents and model context protocol (MCP) servers. This launch aims to address the growing need for robust governance and security measures as AI agents become increasingly autonomous.
Agent Pulse offers a comprehensive solution that combines agent governance, security posture management, usage intelligence, data protection, and real-time enforcement into a single operational framework. This provides enterprises with continuous visibility into agent behavior, system access, and risk evolution across interconnected tools and services.
According to Shiv Agarwal, CEO of Singulr AI, “Effective AI governance requires a purpose-built platform that can manage the unique risks and behaviors of agents. Legacy solutions often lack the necessary focus, depth, and context to provide adequate control. With Agent Pulse, we bring enforceable runtime control to the enterprise, enabling companies to innovate quickly while maintaining accountability, traceability, and policy alignment.”
Key Capabilities of Agent Pulse
- Agent discovery provides continuous visibility into AI agents operating across platforms, creating a context graph of tool connections, data access pathways, MCP servers, and permission chains.
- Agent Risk Intelligence continuously evaluates each agent’s risk posture based on model access, MCP server configurations, connected tools, and AI red-teaming simulations.
- Agent Governance enables the definition and enforcement of policies aligned to agent type, data sensitivity, tool access, and operational scope.
- Agent Runtime Controls provide real-time enforcement across agent interactions, safeguarding against unauthorized system or tool access, prompt injection, and data leakage during execution.
Industry experts emphasize the importance of robust governance and security measures for autonomous AI agents. Alex Green, CISO of Delta Dental Plans Association, notes, “As AI becomes more autonomous, governance must be applied continuously. A unified approach that enforces governance controls, provides visibility across agents, models, and tools, and continuously measures safeguards is essential.”
Terry Kurzynski, Chief Security Advisor at HALOCK Security Labs, adds, “Understanding where risk exists and how to manage it responsibly is a significant challenge for organizations adopting AI and agentic technologies. Our partnership with Singulr creates a natural path from risk assessment to action, enabling organizations to actively manage and address risks as they evolve and scale AI adoption.”
Agent Pulse maintains Singulr’s integration-first approach, allowing enterprises to leverage existing IT and security investments to achieve AI governance in a frictionless, vendor-agnostic manner. It supports multiple deployment models and integrates with leading agentic platforms, including Copilot Studio, AWS Bedrock, Azure Foundry, GCP Vertex AI, Databricks, ServiceNow Now Assist, CrewAI, LangGraph, OpenTelemetry trace-based agents, GPTs on ChatGPT, and n8n.
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