Lineation.ai, a pioneer in runtime security for the agentic AI era, has officially launched its comprehensive agentic security platform. By combining generative AI application security with runtime defense, Lineation introduces a Zero Trust unified control plane and a lightweight endpoint daemon designed to secure autonomous AI agents directly at the point of execution.
As organizations deploy autonomous AI agents capable of reading sensitive data, calling APIs, and executing complex workflows, traditional static perimeters and standard LLM gateways are increasingly left in the dark. Lineation.ai solves this vulnerability at the Model Context Protocol (MCP) layer, stopping prompt injections, goal hijacking, and data leaks before malicious commands can run.
Why Standard LLM Gateways Fall Short
Unlike traditional software, autonomous agents possess the ability to reason, adapt, and call external tools independently. This autonomy makes them highly susceptible to memory poisoning, tool misuse, and goal hijacking.
To combat this, Lineation.ai assigns a Zero Trust Non-Human Identity (NHI) to every active agent. By coupling this identity with an LLM/MCP Gateway, the platform establishes continuous policy-as-code evaluation and generates an immutable, forensic Reasoning Audit Trail. This allows security teams to easily replay and query the internal logic of an AI for regulatory compliance.
“Legacy networks and traditional LLM gateways were not built for software that reasons, accesses databases via MCP, and executes operations autonomously,” said Cameron Manavian, Founder and CEO of Lineation.ai. “With Lineation, we introduce a Zero Trust control plane that empowers enterprise CISOs to define rigid operational guardrails once and enforce them everywhere an agent resides.”
Key Capabilities of the Platform
The platform features Zero Trust Non-Human Identity (NHI), which assigns rigid machine identities and enforces default-deny access controls for every agent execution.
For communication security, the Secure MCP Integration validates Model Context Protocol data handshakes and API calls in real time to neutralize prompt injections.
To meet regulatory demands, the Immutable Reasoning Audit Trail captures the complete contextual lineage of agent reasoning loops, providing out-of-the-box compliance templates for SOC 2, HIPAA, and the EU AI Act.
Finally, the Distributed Runtime Defense intercepts threats directly at the execution layer, reducing incident triage times from hours to minutes.
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