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NeuralTrust, the security platform for AI Agents and LLM applications, announced Guardian Agents, a new class of autonomous security agents designed to defend enterprise AI systems in real time. As organizations deploy thousands of AI agents, each connected to tools, APIs, and sensitive workflows, Guardian Agents provide a dedicated, agent-native layer of protection.
Unlike traditional security controls built for static applications, Guardian Agents are active defenders. They monitor agent behavior, intercept unsafe actions, enforce tool-use policies, scan for vulnerabilities, and stop attacks before they escalate.
A new force to counter a new threat landscape
Enterprises today face an unprecedented operational challenge. AI agents can write code, move data, trigger workflows, and interact with external systems. At scale, the risk surface becomes ungovernable:
Guardian Agents act as a protective layer around this ecosystem. Instead of relying solely on static filters or manual governance, NeuralTrust gives security teams their own force of autonomous defenders to act at machine speed.
How Guardian Agents work
Rather than blocking innovation, Guardian Agents sit alongside production agents to ensure safe execution. They:
Guardian Agents are deployed through NeuralTrust's high-performance security platform, which processes billions of requests every month. Purpose-built for LLM and agent workloads, it delivers industry-leading performance with minimal latency, and works across all clouds, models, and integrations.
"Autonomous agents have changed the threat landscape. Defending them requires security that moves just as fast," said Joan Vendrell, Co-Founder and CEO of NeuralTrust. "Guardian Agents give organizations a way to stay ahead of attacks, enforce policy, and deploy AI safely at scale."
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