API-first runtime protection
The Impart API security platform offers API-first runtime protection deeply integrated with AI. The platform brings AI-enhanced findings from API design, API development, and API testing phases, to where it matters most—the runtime.
Security teams can easily create, manage, and maintain a solid security posture using Impart's easily customizable runtime API security controls.
Next-generation runtime protection
Next-generation runtime provides fast and reliable protection that site reliability engineers (SREs) trust.
Enforcement: Blocking, rate limiting, request decoration, redirects, and more
Performant: Go, WebAssembly (WASM), eBPF, conflict-free replicated data type (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 API security solutions and Web Application Firewalls (WAFs) do not. This enables security teams to create tailored security policies that work, instead of ineffective one-size-fits-all policies.
Segment APIs using API endpoints, schemas, parameters, and more
See insights about API risk factors, vulnerabilities, and msconfigurations
Decode and analyze API tokens, JWTs, and API keys
Complete security control
Security teams should have the same level of control that our own engineers have in creating and customizing their policies. Impart provides security teams a first-class developer experience so they can focus on defending their APIs.
WASM-based rules for maximum portability and performance and directed acrylic graph- (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 choose the best model for the job
