Built for Attacks That Don't Exist Yet
Signature-based defenses fail the moment an attacker changes encoding, splits a payload across requests, or chains tool calls in a new order.
Impart inspects every request inline, normalizes payloads before evaluation, and correlates behavior across sessions. Novel attacks get caught the first time they show up.
Start protecting; stop posturing.
If it’s not inline, it’s not enforcement.
Virtual patches in minutes
Other solutions respond to zero days and CVEs and other disclosures with virtual patches that take days to weeks. With Impart, security teams can design, develop, test, and deploy a virtual patch within minutes.
Impart stops attacks inline
Unlike most solutions, Impart runs inline in production. This allows Impart to evaluate and stop attacks inline while they’re happening instead of after they’re finished.
Protections as code
Most runtime solutions are based on regex or rego rules, which aren’t flexible enough to detect AI attacks. Impart’s code based WebAssembly rules run at machine speed and enable complex detection logic that can be audited and trusted.
Unified runtime protection
Avoid point solutions that fragment your attack surface and complicate daily operations with a single platform for every runtime attack surface.
Every other tool solves part of the problem.
Other tools fragment your attack surface with protections at different layer. Impart is a universal protection layer with multiple deployment options that covers all runtime layers.
CDN Tier
HTTP Requests
Basic injections and volumetric abuse.
Ingress Tier
API Calls
IDOR and auth bypass
System Prompt
AI Tokens
Prompt injection, sometimes
Application
Application Logs and calls
Nothing
Every Layer
HTTP, API, AI Tokens, tool calls, function calls
The complete attack - including multi-layer sequences.
What it sees
What it can stop
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."
All
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."
30
100%
When enforcement moves inline, everything changes.
The decision happens inside runtime - not after it.
With Impart’s unified runtime security platform, attacks are stopped mid-execution, not after the fact.
Distributed activity becomes one coordinated signal.
Every request is evaluated with full context: past behavior, present signals, and system-wide activity.
FAQ
Inline security tools sit directly in the path of live traffic and enforce before the request completes. Out-of-band tools receive a copy of traffic, analyze it, and surface findings after the request has already been processed. A runtime protection platform is inline by architecture. The enforcement decision happens at the origin, in milliseconds, without requiring a human in the loop.
AI agents probe hundreds of endpoints in parallel, chain valid-looking requests into multi-step exploits, and complete attacks faster than a human analyst can reach the alert. Static rules and periodic reviews can't keep pace with traffic that adapts in real time. AI-native defenses run inline at the application layer, evaluate the full session instead of a single request, and update enforcement continuously from observed behavior. The defenses operate on the same timescale as the attacks, on the same data plane that handled them.
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.
Yes. Impart's LLM and AI Agent Firewall deploys inline in front of your LLM endpoints and AI agent workflows. It builds behavioral profiles for every agent interacting with your infrastructure, traces multi-step agent workflows across sessions and surfaces, and enforces against deviation before the request reaches your model. It covers prompt injection, exfiltration, agent abuse, and sensitive data leakage inline, before the response leaves your environment.
Stop AI attacks before they finish.