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Noma Security Debuts Industry's First Comprehensive AI Agent Security Solution
AI-security

Noma Security Debuts Industry's First Comprehensive AI Agent Security Solution

Noma Security unveils the first AI Agent Security platform to secure autonomous AI agents at scale with real-time protection and governance.

August 6, 2025
5 min read
Win Warfield

Noma Security unveils the first AI Agent Security platform to secure autonomous AI agents at scale with real-time protection and governance.

Company leads the market with specialized agent security, enabling safe, scalable adoption of Agentic AI across the enterprise

Noma Security has launched its AI Agent Security solution, the industry's first platform designed to secure autonomous AI agents at scale. This new offering is an extension of Noma’s existing enterprise AI security platform and specifically addresses the unique risks associated with agentic AI. It equips security teams with the necessary tools for discovering, monitoring, and governing these advanced AI systems. As AI agents become more prevalent and autonomous within enterprises, security teams face significant challenges. Unlike traditional cybersecurity threats, agentic AI introduces new vulnerabilities. These include rogue agents operating without oversight, excessive data access permissions, and unpredictable runtime behaviors that can compromise networks and sensitive data. The autonomous decision-making capabilities of these agents can lead to rapid, cascading attacks across interconnected systems, making detection and incident response extremely complex. Noma’s AI Agent Security platform aims to fill this critical gap with specialized protections that integrate smoothly into existing security workflows, allowing organizations to adopt AI safely and without hindering innovation. “AI agents have created a fundamental shift in how enterprises operate, with AI agents now becoming deeply integrated into the workforce and business operations,” said Niv Braun, Co-Founder and CEO of Noma Security. “AI agents are multiplying and are already embedded in enterprise workflows, yet most organizations have no visibility into these systems or a way to secure them. Noma is the first platform purpose built to secure agents at scale, providing unprecedented visibility and control to ensure they can maximize the transformative power of agents, without slowing down innovation.”

Purpose-Built for Agentic AI

Noma’s AI security and governance platform is designed to scale for enterprise-wide agentic AI security management, while remaining agile enough to adapt to evolving AI threats. It offers comprehensive coverage for all categories of AI agents, including:
  • No-code agents used by business users (e.g., ServiceNow, Salesforce AgentForce, Microsoft Copilot Studio)
  • Application agents built by engineering teams (e.g., LangChain, CrewAI)
  • Coding agents used by developers and R&D teams (e.g., GitHub Copilot)
  • Organizations can achieve robust protection across the entire agentic AI stack. This is facilitated by automated discovery, secure-by-design integration, real-time threat monitoring, and built-in compliance controls, offering unmatched visibility and control. Kevin Mooney, UiPath CISO, commented, “As AI agents become central to enterprise automation and decision-making, security cannot be an afterthought. Organizations need comprehensive visibility and control over their agentic AI deployments to ensure they can innovate confidently while maintaining robust security postures. Noma’s approach to AI agent security addresses a critical gap in the market.”

    Key Capabilities:

  • Comprehensive Agent Discovery & Insights: Automatically discovers all agents within an environment, providing detailed profiles of their toolsets, functionality, data permissions, MCP server connections, and operations.
  • Supply Chain Scanning: Continuously scans agent supply chains for vulnerabilities within AI toolset integrations, MCP server connections, agent frameworks, third-party APIs, and model dependencies.
  • Excessive Agency Control & Risk Management: Enables the definition and enforcement of enterprise policies to prevent unauthorized actions and overly permissive access across agent workflows.
  • Agentic Red Teaming: Simulates real-world agent attacks to proactively identify vulnerabilities before they can be exploited.
  • Real-Time Runtime Protection: Detects and blocks malicious prompts, rogue outputs, and unsafe behaviors to ensure agents remain aligned, compliant, and secure.
  • Built-in Compliance: Provides comprehensive audit trails necessary for regulatory compliance and forensic analysis.
  • Seamless Deployment: Integrates natively into existing workflows and development environments without requiring any changes to the agent architecture.
  • For more information or to schedule a demo, visit the Noma Security booth (#2867) at Black Hat USA 2025 or visit https://noma.security/noma-ai-agent-security/.

    About Noma Security

    Noma Security offers a unified AI agent security platform that empowers enterprises to confidently adopt AI innovation at scale. The platform assists cybersecurity teams in managing AI risk through continuous AI discovery, security posture management, risk prioritization, red teaming, and runtime protection. Noma Security is backed by Evolution Equity Partners, Ballistic Ventures, Glilot Capital, Cyber Club London, Databricks Ventures, and SVCI. It is widely adopted by Fortune 500 companies and recognized by Gartner as a leader in AI Trust, Risk, and Security Management (AI TRiSM). Learn more at https://noma.security and follow on LinkedIn.
    Source: Originally published at CityBiz on August 6, 2025.

    Frequently Asked Questions (FAQ)

    What is agentic AI?

    Agentic AI refers to artificial intelligence systems that operate with a higher degree of autonomy, making decisions and taking actions independently to achieve specific goals. These agents can interact with their environment, learn from experiences, and adapt their strategies.

    What are the risks associated with agentic AI in enterprises?

    The primary risks include rogue agents operating without oversight, excessive data access permissions leading to breaches, and unpredictable runtime behaviors that can disrupt operations or compromise sensitive information. The speed and autonomy of these agents can also complicate incident detection and response.

    How does Noma Security's AI Agent Security solution address these risks?

    The solution provides tools for discovering, monitoring, and governing AI agents. Its key capabilities include comprehensive agent discovery, supply chain scanning for vulnerabilities, control over excessive agency, agentic red teaming, real-time runtime protection against malicious prompts, and built-in compliance features.

    What types of AI agents does Noma Security's platform support?

    The platform supports a broad range of AI agents, including no-code agents used by business users (e.g., Microsoft Copilot Studio), application agents built by engineering teams (e.g., CrewAI), and coding agents used by developers (e.g., GitHub Copilot).

    How does Noma Security's solution integrate with existing enterprise security workflows?

    The platform is designed for seamless integration into existing security workflows and development environments without requiring changes to the agent architecture.

    Crypto Market AI's Take

    The introduction of Noma Security's AI Agent Security solution is a significant development in the rapidly evolving landscape of artificial intelligence adoption within enterprises. As businesses increasingly integrate AI agents into their core operations, ensuring the security and governability of these autonomous systems is paramount. This aligns with the broader trend of leveraging AI for enhanced efficiency and innovation, a concept we explore extensively in our AI Agents section. The platform's ability to provide visibility and control over agentic AI addresses a critical gap, allowing companies to harness the transformative power of AI while mitigating the inherent risks. This focus on secure AI adoption is crucial for building trust and confidence in these advanced technologies.

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