AI Security for the Agentic Era
Stop bad agents from abusing your APIs
Inline, sequence-aware enforcement on every API call stops API attacks when they happen, not after the fact.
API protection at runtime that enforces, not just inspects.
AI agents and agentic workflows have changed what API attacks look like. They don't arrive as obvious anomalies; APIs are exploited through sequences of valid requests, at machine speed.
Inspect
every API request in context including authentication and request history
Decide
its permissions for data access, mutation, and response based on session intent
Enforce
before execution completes to prevent abuse, exfiltration and invalid state changes
The AI API attack surface is different. Protection has to be too.
Agentic systems interact with APIs by design — reading data, triggering actions, chaining tool calls across sessions. Attackers manipulate agent reasoning to obfuscate requests. Per-request inspection doesn’t see this. Impart does
Agentic attacks unfold across sessions. Impart enforces the entire sequence.
Prompt injection via API responses, tool abuse, and multi-step data extraction are invisible to systems that evaluate requests one at a time. Impart enforces the entire interaction:
request chains across sessions, identities, and tokens
seemingly valid individual behavior into enforceable decisions across the session
multi-step attacks before they complete
across the entire interaction — not just individual requests
API security tools observe. Impart controls what requests do.
Capability
Inline enforcement
Sequence context
Schema enforcement
PII / data exfiltration
Shadow API coverage
JWT / auth enforcement
Agentic / LLM traffic
Salt / Traceable
Alert only
No
Passive
Detect only
Discovery only
Alert
Not covered
AWS / Kong
Rate limit only
No
Validation only
No
No
Partial
Not covered
Impart
Block inline
Full session
Runtime enforced
Block at response
Detect and block
Inline, session-aware
Full session, cross-surface
Inline enforcement
Sequence context
Schema enforcement
PII / data exfiltration
Shadow API coverage
JWT / auth enforcement
Agentic / LLM traffic
Allow. Block. Modify. At the point of execution.
Step 1
Request intercepted inline at the application layer —
before the API processes it
Step 2
Evaluated against full session history —
schema, identity, prior requests, and intent
Step 3
Decision applied before state changes —
allow, block, or modify at the point of execution
One runtime engine. Every API request, including agentic workflows.
Position
Inline across APIs, services, and agent-driven workflows
Context
Maintains sequence and session state across the full interaction
Timing
Enforces synchronously — no async gap between detection and block
Control Plane
Unified detection and enforcement in one system
What a blocked attack looks like in Impart.
Unified coverage. Reliable enforcement.
Recon
The entity is identified and fingerprinted
at first contact.
Behavioral context begins building immediately across every service.
Auth Probing
Suspicious auth behavior emerges across endpoints.
Velocity and access patterns signal risk tracked across the entire system in real time.
Extraction Attempt
Intent becomes clear across the session.
Sensitive data access and outbound activity are evaluated against full behavioral history.
Enforcement
A rule is generated from the observed behavior - blocking the attacker going forward.
What started as a sequence becomes a denial.
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.