WAF for the Agentic Era
Virtual Patch web apps in minutes
Legacy WAFs weren’t designed to keep up with Agentic attacks. Impart allows security teams to respond quickly to zero days and agentic attacks with WAF that can be designed, tested, and deployed in minutes with AI security agents.
WAF at runtime. Built for execution. Not inspection.
AI agents and agentic workflows have fundamentally changed how attacks execute. Impart runtime enforcement controls what requests do, at the speed of AI.
Inspect
every request with full context—headers, payloads, session state, and prior behavior
Decide
what the request is allowed to do, based on intent, not pattern matching
Enforce
before execution completes, blocking injection, exfiltration, and abuse before your app processes the input
The AI attack surface is different. Your WAF has to be too.
AI-driven enforcement with Impart runs across payloads, identity, and session rather than signature matching on individual requests. This is how we’re different.
Agentic attacks unfold across sessions. Impart enforces the entire sequence, at runtime.
AI attacks unfold across sequences, not single requests. Impart enforces the entire interaction, at runtime.
request chains across sessions, identities, and endpoints
agent workflows from producing unauthorized state changes
multi-step attacks — reconnaissance, probing, exploit — before they complete
across the entire interaction, not just the request that crosses a threshold
WAFs detect. Impart controls what requests do.
Capability
Enforcement position
Detection model
Rule management
Sequence context
Novel attack coverage
Cross-surface context
Cloudflare WAF
Edge proxy
Signatures and managed rules
Manual tuning required
Per-request only
Requires new signatures
WAF only
Prompt shields
Edge only
Managed rule sets
Manual or managed
Per-request only
Requires rule updates
WAF only
Impart
Inline, application layer
AI behavioral intent modeling
AI-proposed, auto-managed
Full session, cross-request
Behavioral, no signature needed
WAF + API + Bot + LLM
Enforcement position
Detection model
Rule management
Sequence context
Novel attack coverage
Cross-surface context
Allow. Block. Modify. At the point of execution.
Step 1
Request intercepted inline at the application layer —
before your app processes it
Step 2
Behavioral analysis evaluates every signal against full session history —
payloads, identity, and prior requests — against 200+ detection tags
Step 3
Decision applied before execution —
allow, block, or modify at the point of enforcement
One runtime engine. Every request — web, API, and agentic.
Position
Inline across web apps, APIs, and agent-driven workflows
Intelligence
AI behavioral model built from your traffic, updated continuously
Timing
Enforces synchronously — no async gap between detection and block
Autonomy
Validated rules enforced after simulation, without waiting for a human review cycle
What a blocked attack looks like in Impart.
Unified coverage. Reliable enforcement.
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%
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.