Complete Runtime Protection
Stop AI Attacks confidently with a unified runtime policy enforcement engine trusted enough to block zero day attacks before they compromise your most critical assets.
Start protecting; stop posturing.
Other tools generate alerts and tickets. Impart detects and stops attacks.
Block zero-day attacks in minutes.
Detect zero-day attacks in days to weeks, and never block them.
AI virtual patches deployed within minutes.
Manual patches take days to design and deploy to production.
AI-generated and human-reviewed code-based rules.
Brittle and inflexible Modsec/Rego rules.
Inline blocking.
No blocking. Alerts and tickets become more work.
Analyze web requests, tokens and tool calls.
Analyze only web requests.
Put enforcement where it belongs.
Impart inspects all traffic inline, regardless of source. AI agents, bots and human attackers all encounter the same runtime engine.
Inspect all traffic
Traffic is tagged and fingerprinted.
Analyze every request
Abuse patterns are detected inline before reaching your backend.
Enforce in real time
Built-in and custom rules execute in milliseconds.
Unified policy enforcement. Simplified security management.
Siloed tools might miss a distributed attack. Impart unifies control and coverage for your team.
Sequence-aware enforcement at the model boundary. Classifies intent across session history to stop prompt injection and exfiltration pre-inference.
Live catalog of every MCP server and tool, with inline policy enforcement on caller, scope, and arguments before invocation.
Stateful evaluation of agent behavior across tool chains. Blocks privilege escalation, unauthorized tool use, and chained exploits as they execute.
Patching, detection, reporting, and red-team agents operating on the same enforcement engine.
How to detect and stop coordinated AI attacks.
Modern attacks unfold as sequences of valid requests designed to bypass point-in-time detection. Impart sees and correlates behavior across sessions and endpoints, and identifies patterns as they emerge. This allows Impart to stop attacks before escalation or exfiltration, giving you peace of mind and a demonstrably decreased risk posture.
Running in production. Enforcing in real time.
"The Impart team is really innovating in the API security space. Really smart use of LLMs in their product that help security teams especially with firewall rules, which are a huge problem."
"API security is now a critical aspect of every application security program. Every CISO needs to have an integrated solution that can comprehensively protect their APIs across their entire lifecycle."
"Great product. Great team. Makes application security so much easier and installs in minutes across both legacy and modern tech stacks."
"When we think about examples of customer love in cybersecurity, some of the most loved companies in security includes Impart Security."
"Hands down one of the best API security products on the market and the most compelling solution for serverless. Integrates with no architecture impact, and great team to work with."
"Examples like Thinkst Canary, Duo Security, Tines, Chainguard, Material, Impart, Panther, Anvilogic, and LimaCharlie show that it is possible to be pragmatic (and successful!) as a business and loved at the same time."
"The team is building something truly top notch in WAF, API Security, and LLM Protection."
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runtime decisions
"Nothing drives me more than getting to work with highly motivated and super intelligent people. I am happy to be here and looking forward to the long road ahead!"
"Impart is my pick to lead the next wave in application security tooling by leveraging usage (and other) context for decisions and making it visible to both security teams and developers. This unifies two themes in security today: Shift Left and Protect Right."
"I have a sophisticated app sec team, and they regularly complain about how limiting form-based rule builders are. They will be pumped to hear about the ability to build more sophisticated rules via code. Same with dynamic runtime lists. The LLM-powered rule explainer is also pretty cool. It is gen AI that is actually useful, as opposed to framing in another gen AI chatbot and calling it a day."
"Impart offered Crossbeam a single, unified solution for Web application, API security, and LLM protection.The team has provided exceptional support and is a true partner for us."
"Impart has everything you'd want in an API security platform, and there's little reason to look elsewhere - they provide discovery, testing, and protection—all in a single platform. Impart’s combination of accurate discovery with anomaly detection made them stand out in a crowded space filled with other great tools."
"Impart saved the day during a security incident when our WAF and our SIEM failed to detect and mitigate an ongoing API attack. Impart effortlessly detected and stopped the attack for us, with great support from the team."
"We've dramatically reduced our cycle time for adapting to new threats—we can now match the velocity of attackers instead of always playing catch-up. Impart has made our entire security operation more surgical and effective."
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FAQ
Shift left moves security earlier in the development lifecycle, focusing on finding vulnerabilities before code ships. Runtime security operates after deployment, inline in the path of live traffic, detecting and blocking threats as they happen. A runtime protection platform is the layer that catches what shift left cannot: threats that have no pre-deployment signature, behave like legitimate traffic, and complete in milliseconds.
AI agents pursue goals across sessions, probe multiple surfaces simultaneously, and adapt continuously. Stopping them requires inline enforcement at the origin, behavioral detection that models intent across sessions rather than matching signatures, and a shared data layer across every surface so a single agent cannot get a clean slate by switching attack vectors. That is what a runtime protection platform is built for.
A runtime protection platform replaces a WAF by combining behavioral detection, inline enforcement, and shared context across Web Apps, APIs, AI Apps, and LLMs on one data model. Impart replaces the detection model entirely, not just the interface.
Runtime enforcement is the ability to detect and block a threat at the moment the request is made, inline in the path of live traffic, before it reaches your application. It is distinct from detection-only tools that observe traffic and alert after the fact, and from shift-left tools that look for vulnerabilities before deployment.