Holistic AI vs Impart Security

About Impart Security

Impart Security sells programmable, deterministic Layer 7 protection across AI, applications and APIs. Impart enforces security policies directly in the application traffic path. Impart describes one programmable engine that unifies OWASP coverage, stateful behavioral analysis and custom security logic to block threats inline. Impart defines runtime enforcement as the ability to detect and block a threat at the moment the request is made, inline in the path of live traffic. Impart integrates programmable Layer 7 protection into existing ingress and egress infrastructure, enforces deterministic controls locally, and synchronizes policies and runtime state across distributed environments.^{[4][6][9][10]}

For bots, Impart blocks credential stuffing, scraping and AI-driven automation with stateful controls that evaluate request patterns and session behavior. For agents, Impart enforces application-specific policies on agent traffic and tool interactions, using runtime context to restrict unauthorized actions and access. Impart detects and blocks shadow APIs as they are accessed. Impart's API enforcement prevents sensitive data (PII) from leaving the system.^[8][10]

Impart sits between the agent and the customer's systems, enforcing security before any action executes. Agent protection runs on the same ingress-layer enforcement engine that inspects the full attack surface. Impart evaluates each prompt using session history, identity, prior model interactions and the chain of tool calls behind it. Impart's LLM enforcement sits inline between the caller and the model and runs before the prompt reaches inference. Impart builds a live catalog of every MCP server reaching the environment, sanctioned or not, and every tool exposed by each one. Policy-as-code in Impart applies the same way to AI clients, CLI users, web apps and direct API callers.^[3][5][6][8]

Runtime Defense Harness uses AI-assisted investigation to develop targeted virtual patches and deploy protection through the same engine already protecting the applications. Impart generates and tests targeted virtual patches against runtime traffic, validating Policy as Code before deployment. Impart deploys custom virtual patches in under 60 minutes. Impart executes custom security logic inline using request context and shared session state, and blocks attacks without model inference in the traffic path.^[4][10]

Impart runs inside the existing ingress, without adding an extra traffic hop or single point of failure. A lightweight module runs inside the existing ingress controller, capturing HTTP requests after TLS termination and passing them to a local inspector. If the inspector fails or times out, the module fails open. The Impart inspector runs locally alongside the ingress to evaluate request context, runtime state and custom security logic. Enforcement decisions in Impart are deterministic, and no AI inference or cloud round trip is required. Impart Cloud keeps policies and shared state in sync. Impart extends programmable Layer 7 protection to outbound AI requests and agent interactions through supported AI gateway infrastructure. Impart inspects traffic, applies custom security logic and protects sensitive data without replacing the existing gateway, routing or cost controls. The Impart Security plugin runs natively inside Kong Gateway, paired with an Impart Inspector running in the customer's own environment.^[5][9][10]

Impart inspects every request to AI applications, web applications and APIs in the traffic path where it sits. The Impart integration with Wiz sends hosts to a Wiz tenant as Imported Assets, next to the cloud resources. Impart sends hostnames to Wiz and does not read Wiz issues, findings or resources. FanDuel replaced black-box security with Impart. Impart offered Crossbeam a single solution for web application, API security and LLM protection.^{[1][2][3][4][5][6][7][8][9][10]}