API first runtime protection
The Impart API Security Platform is an API first runtime protection platform integrated deeply with AI. The platform brings AI enhanced findings from API design, API development, and API testing phases, to where it matters - the runtime.
The Impart platform empowers security teams to easily create, manage, and maintain a solid security posture using easily customizable runtime API security controls.
Next generation runtime protection
Next generation runtime protection approach provides fast and reliable protection that SREs trust.
Enforcement: Blocking, rate limiting, request decoration, redirects, and more
Performant: Go, WASM, eBPF, CRDT tech stack with configurable logging for troubleshooting
Trustworthy: Fail-open, decentralized architecture, with transparent performance metrics and private LLMs
API first
Impart natively understands API concepts that legacy solutions do not. This enables security teams to create tailored security policies that work, instead of one size fits all policies that don't work.
Segment APIs using API Endpoints, Schemas, Parameters, and more
See Insights about API Risk Factors, Vulnerabilities, and Misconfigurations
Decode and analyze API Tokens, JWTs, and API Keys
Complete security control
We believe that security teams should have the same level of control that our own engineers have in creating and customizing their policies. We are focused on giving security teams a first class developer experience so they can focus on defending their APIs.
Web Assembly (WASM) based rules for maximum portability and performance and DAG based rule dependencies
In product pro-code IDE with full version control, error checking, and LLM assistance
Rule lifecycle management system, including rule testing, and graph based rule editor
Integrated LLMs
Improve quality of life using Impart's private AI models to optimize existing workflows and provide non-obvious insights.
Private AI models do not expose customer data
Internal AI agents work in the background so you don't have to wait
Multiple Impart LLMs let us choose the best model for the job
