Singulr AI Agent Pulse: Enforce Runtime Governance for AI Agents
▼ Summary
– Singulr AI has launched Agent Pulse, a new extension of its Unified AI Control Plane designed to govern autonomous AI agents and MCP servers.
– The platform provides continuous visibility and enforceable runtime governance, combining security, usage intelligence, and data protection into a single operational framework.
– Agent Pulse operates through four integrated capabilities: agent discovery, risk intelligence, governance policy enforcement, and real-time runtime controls.
– It integrates with existing IT and security tools and major agentic platforms, offering a vendor-agnostic approach to enterprise-wide AI governance.
– Industry experts emphasize that as AI agents gain autonomy, continuous, measurable governance is essential to manage risk and protect data at scale.
Singulr AI has introduced a new platform called Agent Pulse, designed to bring enforceable runtime governance and measurable oversight to autonomous AI agents and MCP servers. This extension of their Unified AI Control Plane provides enterprises with the continuous visibility and real-time enforcement needed to manage the unique risks of an agentic workforce, enabling innovation while maintaining security and policy compliance.
Agent Pulse functions as a comprehensive operational framework, integrating agent governance, security posture management, usage intelligence, and data protection. It offers businesses a clear view of how their AI agents behave, which systems they access, and how potential risks develop across interconnected tools. According to Shiv Agarwal, CEO of Singulr AI, legacy security solutions often lack the necessary focus and context to manage autonomous agents effectively. He emphasizes that governance must operate in real-time, at the precise moment an action occurs, to ensure strong controls as agents gain more autonomy.
The platform delivers its capabilities through four integrated functions. The first is agent discovery, which provides continuous visibility into all AI agents operating across an organization’s platforms. It builds a detailed context graph mapping tool connections, data access pathways, MCP servers, and permission chains to illustrate how agents interact with enterprise systems.
Second, agent risk intelligence is powered by the Singulr Trust Feed. It continuously evaluates each agent’s risk posture by analyzing model access, MCP server configurations, connected tools, and the results of AI red-teaming simulations. These simulations test agents against adversarial prompts, potential tool misuse, and data exfiltration attempts, allowing for dynamic risk classification as operational environments change.
Third, agent governance allows organizations to define and enforce specific policies aligned with agent type, data sensitivity, tool access, and operational scope. This capability also tracks configuration changes and monitors for runtime drift over time. Finally, agent runtime controls provide real-time enforcement during agent interactions. This safeguards against unauthorized system access, prompt injection attacks, and data leakage while execution is underway.
Industry leaders recognize the critical need for this level of governance. Alex Green, CISO at Delta Dental Plans Association, notes that protecting sensitive information is foundational. He states that as AI operates across increasingly autonomous workflows, governance must be applied continuously. A unified approach that enforces controls, provides cross-platform visibility, and continuously measures safeguard effectiveness is essential for managing risk at scale, making live governance a core piece of infrastructure.
Security experts echo this sentiment. Terry Kurzynski, Chief Security Advisor at HALOCK Security Labs, points out that one of the biggest challenges for organizations is understanding where AI risk actually exists and how to manage it responsibly. He explains that HALOCK’s partnership with Singulr creates a direct path from risk assessment to action. By connecting the risks uncovered during evaluation with Singulr’s runtime governance capabilities, companies can quickly move from understanding their AI risk posture to actively managing those risks as they scale their AI adoption.
Maintaining an integration-first approach, Agent Pulse allows enterprises to leverage existing IT and security investments to achieve comprehensive AI governance in a vendor-agnostic manner. It supports multiple deployment models and integrates with leading agentic platforms and frameworks, including Copilot Studio, AWS Bedrock, Azure Foundry, GCP Vertex AI, Databricks, ServiceNow Now Assist, CrewAI, LangGraph, and n8n, among others.
By correlating activity across a wide array of systems, including SSO, EDR/XDR, SIEM, SaaS applications, gateways, and agentic platforms, Singulr delivers the contextual, enterprise-wide AI visibility and governance that traditional, siloed network or endpoint tools cannot provide.
(Source: HelpNet Security)