Secure Agentic AI with Noma: The first solution for securing AI Agents

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Today marks a pivotal moment in enterprise AI security, as we announce the availability of our new AI agent security solution and marking the first AI security platform capable of securing agentic AI at enterprise scale. This is a strategic extension of our proven AI security platform that addresses the next evolution of AI, autonomous agents.

The Enterprise Reality: AI Agents Are Already Here

The conversation around agentic AI has shifted from “what if” to “what now.” Leading enterprises are already deploying AI agents across critical business functions using ServiceNow, Salesforce AgentForce, Microsoft Copilot Studio, AWS, Azure, Vertex AI, LangChain frameworks, coding Agents like GitHub Copilot empowered with MCP tooling. The enterprises we work with understand that AI has evolved from systems that generate text to agents that take meaningful, and possibly destructive actions in the real world, interacting with databases, executing commands, making API calls, and autonomously performing tasks that directly impact business operations. They also see the immense potential in AI agents that can handle customer service inquiries end-to-end, automate complex business processes, assist developers with sophisticated coding tasks, and transform how work gets done across the enterprise.

But security concerns persist, acting as the one-critical roadblock preventing widespread deployment and adoption of agentic AI. The most recent real-life incident was described as “catastrophic” when an AI agent deleted an entire database at a leading software company.

Removing the Biggest Barrier to AI Agent Adoption

Without proper security controls, organizations can’t confidently deploy AI agents at scale for their employees. The risks are too significant and include agents with excessive permissions, unmonitored autonomous actions, potential data exposure, and compliance violations. This security gap has become the primary barrier preventing enterprises from realizing the full business value of their AI agent investments.

That’s exactly the problem our AI Agent Security solution solves. By extending our proven AI security platform to comprehensively secure agentic AI, we’re enabling enterprises to confidently deploy AI agents across their organizations and unlock the transformative business value of agentic AI.

Purpose-Built for Enterprise Agentic AI

Our AI Security Platform is built on three foundational pillars that provide end-to-end protection across all AI systems:

1. Discovery and Governance – First it provides organizations complete visibility into their AI landscape,, automatically discovering every AI application, model, and agent across the enterprise while providing deep contextual insights into their capabilities, permissions, and data access. This enables informed policy decisions and risk based governance.

2. Secure-by-Design – Second, integration ensures security is embedded from the moment AI systems are being developed, with built-in controls that prevent over permissive access, data poisoning, misconfigurations, protect against supply chain risks such as malicious MCP servers, and enforce enterprise policies without disrupting development workflows.

3. Runtime Protection – Finally, for protection at runtime the platform provides real-time monitoring and intelligent guardrails that detect and block malicious activities including prompt injections or unsafe behaviors as they occur, ensuring AI systems remain aligned with business objectives and security requirements throughout their operational lifecycle.

Key capabilities for Agentic AI include:

• Comprehensive Agent Discovery & Insights: Automatic discovery of every agent within organizational environments with deep contextual understanding of complete profiles, including toolsets, functionality, data access permissions, and MCP server connections.

• Supply Chain Security: Continuous scanning of agent supply chains for vulnerabilities across toolset integrations, MCP server connections, agent frameworks, third-party APIs, and model dependencies.

• Excessive Agency Control: Enterprise policy definition and enforcement that prevents unauthorized or destructive actions while maintaining agent effectiveness across workflows.

• Agentic Red Teaming: Advanced simulation of real-world agent attacks to identify vulnerabilities in autonomous AI systems before production exploitation, customized for your specific use case.

• Runtime Protection: Intelligent guardrails that detect and block malicious prompts, tool abuse, and unsafe or destructive behaviors while ensuring agents remain aligned, compliant, and secure.

• Built-in Compliance: Comprehensive audit trails designed for regulatory compliance and forensic analysis requirements.

Join the AI Security Revolution

Enterprises deploying Noma Security today aren’t just securing their AI, they’re positioning themselves at the forefront of the most significant technological transformation since the internet. They understand that being early to recognize and solve the agentic AI security challenge provides a sustainable competitive advantage.

The convergence of enterprise AI adoption, incoming regulatory requirements, and technical complexity has created a perfect storm that demands specialized expertise. Our recent funding milestone reflects more than investor confidence, it represents validation that enterprise AI security has reached an inflection point. The organizations joining us now aren’t just customers, they’re working with us everyday to pioneer the secure AI-powered enterprise of the future.

Ready to Secure your AI?

Noma’s AI Agent Security platform is available now for enterprise deployment, with a dedicated team, that ensures support for implementing robust AI security measures at scale. This capability represents a fundamental shift into ensuring your AI is secure today, and ready for whatever the future of AI brings. If you’re interested in learning more about how we can help secure your AI everywhere, schedule a demo with our team.