# 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.

With Impart

### 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

### Enforce

Enforce schema correctness at runtime

### Detect

Detect and block shadow APIs as they're accessed

### Validate

Validate authentication and token integrity, including JWT misuse

### Prevent

Prevent sensitive data (PII) from leaving the system

### Evaluate

Requests evaluated in sequence, not isolation

## Agentic attacks unfold across sessions. _Impart enforces the entire sequence._

### Track

request chains across sessions, identities, and tokens

### Turn

seemingly valid individual behavior into enforceable decisions across the session

### Stop

multi-step attacks before they complete

### Enforce

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

## How it Works

### _Allow. Block. Modify._ At the point of execution.

1. Request intercepted inline at the application layer — before the API processes it
2. Evaluated against full session history — schema, identity, prior requests, and intent
3. Decision applied before state changes — allow, block, or modify at the point of execution

## _One runtime engine._ Every API request, including agentic workflows.

### Example

API external GET /api/v2/payments service internal agent AI-driven POST /svc/auth/verify

#### 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

## 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.

## FAQ

### What is the difference between shift left and runtime security?

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.

### How do you stop AI agent attacks?

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.

### What replaces a WAF in the AI era?

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.

### What is runtime enforcement?

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.

## Let the attack start. _It won’t finish._

Start Shielding