Noma Security, the unified AI security and governance platform, has introduced the Agentic Risk Map (ARM) — the industry’s first visualization technology purpose-built to map and mitigate the blast radius of autonomous AI agents. The launch marks a significant leap forward in the company’s mission to secure agentic AI across discovery, posture management, and runtime protection.
As enterprises adopt autonomous AI agents that can access data, execute code, send communications, and make decisions independently, the complexity of their interactions has grown exponentially. Through Model Context Protocol (MCP) servers, these agents connect to an ever-expanding network of third-party tools and services, creating intricate webs of dependencies. This interconnectedness makes it nearly impossible for security teams to trace the potential impact of a single compromised agent — a risk that traditional security solutions were never designed to handle.
Noma Security’s new platform directly addresses these challenges with a comprehensive, three-phase approach: discovering all agents across the enterprise (including shadow AI), managing their security posture, and continuously protecting them at runtime through real-time monitoring and containment.
Cyber Technology Insights : Cloudera Leverages Chainguard to Set a New Standard for Enterprise Data Security
Reimagining AI Agent Security
“Security teams are flying blind when it comes to AI agent risks,” said Niv Braun, CEO and Co-founder of Noma Security. “These agents don’t operate in isolation. They connect across departments, tools, and systems — which means a compromised Customer Support Agent, for example, could trigger money transfers, data leaks, or phishing attacks across the enterprise. Visibility, proactive risk management, and runtime protection must work together — and that’s exactly what we’ve built.”
A Three-Phase Platform for Agentic AI Security
- Discovery: Complete Visibility into the Agentic Attack Surface
Noma Security’s discovery engine provides full visibility into the organization’s agentic ecosystem. It automatically identifies every AI agent — authorized or shadow — along with all MCP servers, API connections, toolsets, and agent-to-agent (A2A) relationships. This comprehensive inventory enables security teams to understand where agents exist, what systems they access, and how they interact across digital environments.
- Proactive Risk Management: The Agentic Risk Map (ARM)
The newly launched Agentic Risk Map transforms complex agentic infrastructures into clear, visual intelligence. ARM maps out the relationships between agents, tools, and systems — revealing how a single compromised agent could trigger chain reactions such as unauthorized transactions, data exfiltration, or lateral movement.
Security architects can use ARM to assess risk before deploying new agents, perform red-team simulations, and design blueprints that define safe operational boundaries. By visualizing these interdependencies, teams can enforce the principle of least agency, ensuring agents have only the permissions they need and preventing cascading security failures.
Cyber Technology Insights : Axoflow Unveils Comprehensive Storage Solutions for the Security Data Layer
- Agent Runtime Protection: Continuous Monitoring and Containment
Once agents are deployed, Noma Security provides real-time behavioral monitoring. The platform continuously analyzes actions against an established baseline to detect anomalies such as unexpected tool usage, unauthorized A2A communication, suspicious cross-system access, or prompt injection attempts. When a threat is detected, Noma enables immediate containment to prevent damage from spreading across the enterprise.
Comprehensive Platform Coverage Across Ecosystems
Noma Security’s platform supports a wide range of agentic infrastructures and tools across enterprise environments, including:
- SaaS and Low-Code Platforms: Microsoft Copilot Studio, ServiceNow, Salesforce Agentforce, Google Agentspace
- Cloud Providers: Azure AI Foundry, Google Vertex AI, AWS Bedrock AgentCore
- Agentic SDKs: LangChain, CrewAI, Google ADK, OpenAI SDK
- Coding and Productivity Tools: Cursor, GitHub Copilot, and other AI development assistants
This broad compatibility allows organizations to implement consistent governance and protection regardless of their underlying technology stack.
Redefining the Standard for Agentic AI Security
With the introduction of the Agentic Risk Map, Noma Security has redefined how enterprises visualize and mitigate risks associated with autonomous AI agents. By combining discovery, proactive risk mapping, and runtime protection in a unified platform, the company offers a holistic defense strategy against emerging agentic threats.
As organizations increasingly adopt AI-driven automation, Noma Security ensures they can embrace innovation without compromising control, compliance, or safety.
Cyber Technology Insights : Fable Security Unveils First Board-Ready Human Risk Reporting with Key Cybersecurity Metrics
To participate in our interviews, please write to our CyberTech Media Room at sudipto@intentamplify.com
