Stop application attacks in production with smart, safe runtime policies

For security engineers who need to block threats without slowing releases.

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Three differentiators

Stopping attacks

Stop attacks in production not just watch them happen

Faster, safer protection

Ship rules as code run tests in real traffic and promote only after a canary run and human review

Save costs

Reduce alert volume and cut cloud spend with precise blocking and smarter sampling

Process of setting the safe rules.

Analyze and suggest

Impart analyzes your traffic and recommends a policy for you to create

Author with AI

Generate an initial rule from the suggested policy using the AI assisted authoring workflow

Edit with AI

Refine the draft rule with AI suggestions or manual edits in the code editor

Test with AI

Run unit tests and automated regression suites generated by the AI against recorded traffic to detect false positives

Deploy with confidence

Impart deploys your rule safely to production without risk of impacting production

Works with existing tools

Impart fits into your existing security and engineering workflows, uses your monitoring and CI to inspect live requests, and enforces policies in runtime.

It defends the full app attack surface across multi cloud environments with no required platform changes.

Works with existing tools