A platform for runtime security apps
See anything, store anything, secure anything with Impart agentOS
Impart agentOS powers Impart's growing library of security apps like WAF and API security. Use Impart's out of the box security apps to protect your applications, or create your own using common programming languages that compile to WebAssembly.
See Impart agentOS in action
Safe in Production
Impart apps run on a decentralized agent, designed to be more reliable and flexible than traditional security agents. Built on modern cloud native technologies, Impart installs safely with minimal impact on system availability or performance, and complete observability metrics for you to ensure performance.
eBPF: Impart agents can observe encrypted HTTP traffic and other system calls directly from the kernel level without risking a production outage.
Decentralized: Impart agents does not rely on the Cloud for storage or state management, making them more resilient against cloud interruptions. Impart agents work together by forming a dynamic service mesh with integrated compute, networking, and storage.
Open: Unlike traditional agents which are a walled garden, Impart agents have an open architecture which allows execution of both first and third party worker scripts. This gives security and engineering teams unparalleled flexibility.
Work with your existing stack
Impart integrates with your existing infrastructure and tools to provide you with a seamless experience.
Plug Impart into your existing security and engineering workflows and help teams where they already work.
Consolidate point solutions
The Impart Security Platform can be extended to solve multiple security and observability use cases for security and engineering teams.
We started with API security and WAF, but the versatility of our platform allows us to tackle additional use cases with minimal effort.
AI you can trust
Impart was built Cloud and AI Native, which provides another level of data enrichment, analysis, and use experience to security teams.
Impart utilizes private LLMs and a shared data fabric to ensure the privacy of customer data and integrates AI directly into the product to enhance workflows like developing and testing rules, creating notifications, and interpreting API specifications.
