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

Noma Security, the leading AI security company, has announced the launch of its AI Agent Security solution, the first platform designed to secure agentic AI at enterprise scale. Enterprise security teams face unprecedented challenges as AI agents with increasing autonomy proliferate across organizations. Unlike traditional cybersecurity threats, agentic AI introduces unique risks such as rogue agents operating without oversight, excessive data access permissions, and unpredictable runtime behaviors that can compromise sensitive data and entire networks. The autonomous decision-making capabilities of these agents can lead to cascading attacks across interconnected systems at extraordinary speeds, making detection and incident response significantly more difficult. Noma's AI Agent Security platform fills this critical gap by providing purpose-built protection against agentic AI threats while integrating seamlessly into existing security workflows.

Key Features and Capabilities

• Comprehensive Agent Discovery & Insights: Automatically discovers every AI agent within an organization, providing deep contextual profiles including toolsets, functionality, data access permissions, MCP server connections, and operations.
• Supply Chain Scanning: Continuously scans the AI agent supply chain for vulnerabilities related to toolset integrations, MCP server connections, agent frameworks, third-party APIs, and model dependencies.
• Excessive Agency Control & Risk Management: Enables enterprises to define and enforce policies to prevent unauthorized actions and control permissive access across AI agent workflows.
• Agentic Red Teaming: Simulates real-world AI agent attacks to proactively identify vulnerabilities before exploitation in production.
• Real-Time Runtime Protection: Applies guardrails to detect and block malicious prompts, rogue outputs, and unsafe behaviors, ensuring agents remain aligned, compliant, and secure.
• Built-in Compliance: Provides comprehensive audit trails for regulatory compliance and forensic analysis.
• Seamless Deployment: Integrates natively into existing workflows and development environments without requiring changes to agent architecture.

Industry Impact

"AI agents have created a fundamental shift in how enterprises operate," said Niv Braun, Co-Founder and CEO of Noma Security. "Most organizations lack visibility or security controls over these systems. Noma is the first platform purpose-built to secure agents at scale, providing unprecedented visibility and control to maximize their transformative power without slowing innovation." Kevin Mooney, CISO of UiPath, added, "As AI agents become central to enterprise automation and decision-making, security cannot be an afterthought. Noma's approach addresses a critical market gap by providing comprehensive visibility and control over agentic AI deployments."

About Noma Security

Noma Security is a unified AI agent security platform that empowers enterprises to safely adopt AI innovation at scale. The platform helps cybersecurity teams manage AI risk through continuous discovery, security posture management, risk prioritization, red teaming, and runtime protection. Backed by top investors and widely adopted by Fortune 500 companies, Noma Security is recognized by Gartner as a leader in AI trust, risk, and security management (AI TRiSM). For more information or to schedule a demo, visit Noma Security AI Agent Security.

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Source: Noma Security Launches Industry's First Comprehensive AI Agent Security Solution on August 6, 2025

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Frequently Asked Questions (FAQ)

AI Agent Security

Q: What is an AI agent? A: An AI agent is a software program or system that can perceive its environment, make decisions, and take actions autonomously to achieve specific goals. These agents are becoming increasingly sophisticated and integrated into enterprise operations. Q: What are the primary security risks associated with AI agents? A: Key risks include rogue agents operating without proper oversight, excessive data access permissions granted to agents, and unpredictable runtime behaviors that could compromise sensitive data or entire networks. Q: How does Noma Security's solution address these risks? A: Noma's AI Agent Security platform provides comprehensive discovery and insights into all AI agents, scans their supply chains for vulnerabilities, enforces controls to prevent excessive agency, conducts agentic red teaming, offers real-time runtime protection, and ensures built-in compliance. Q: Is Noma Security's solution compatible with existing security workflows? A: Yes, the platform is designed to integrate seamlessly into existing security workflows and development environments without requiring changes to the agent architecture. Q: What is "agentic red teaming"? A: Agentic red teaming involves simulating real-world AI agent attacks to proactively identify and address vulnerabilities before they can be exploited in production environments.

Crypto Market AI's Take

The launch of Noma Security's comprehensive AI Agent Security solution marks a critical advancement in addressing the burgeoning security challenges presented by autonomous AI agents in enterprises. As organizations increasingly leverage AI agents for various operational tasks, ensuring their security and compliance becomes paramount. This development resonates with our own mission at Crypto Market AI to provide secure and intelligent solutions for the digital asset space. Our platform focuses on AI-driven market intelligence and trading, emphasizing robust security protocols, which aligns with the industry's growing need for secure AI implementations. For businesses looking to navigate the complexities of AI and digital assets, understanding both the innovative potential and the inherent risks is crucial. Our insights into the evolving AI landscape and its intersection with finance can provide valuable context for enterprise adoption. You can learn more about how AI is transforming financial markets in our AI Crypto Market Platform - LLM Training Data. Additionally, we explore the broader implications of AI in our related content on AI Agents.

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