Impart

Impart Security is a San Francisco-based application and AI security company that operates what it calls an AI Runtime Defense platform. The product sits inline within the runtime request path rather than outside production, inspecting every request bound for web applications, APIs, LLMs, MCP servers and AI agents, evaluating intent using prior behavioral history and live signals, and blocking traffic before it reaches the backend.

The platform is organized around five protection surfaces: LLM Protection (sequence-aware enforcement at the model boundary, classifying intent across session history to stop prompt injection and pre-inference exfiltration), MCP Protection (a live catalog of MCP servers and tools with policy enforcement on caller identity, scope and arguments before invocation), Agent Protection (stateful evaluation of agent behavior across tool chains to block privilege escalation, unauthorized tool use and chained exploits), WAF and API security (inline code-based rules covering injection, IDOR, auth bypass, bot activity, API abuse and PII leaks), and Runtime Defense Agents for patching, detection, reporting and red-teaming. Architecturally the company describes a shared session store across surfaces, a single behavioral data model and one enforcement decision point, so distributed activity across services is correlated into a single attack pattern.

In June 2025 Impart announced general availability of what it described as an Application Detection and Response Engineering Platform, in which specialized AI agents — a traffic inspector, detection engineer, security architect and rule engineer — design, test and deploy security rules against live traffic, with WebAssembly sandboxing used to isolate rule execution from production systems.