When your AI applications run in environments where rerouting network traffic through a firewall isn't practical — or when you need security enforcement at the code level — Prisma® AIRS™ API intercept delivers developer-centric protection without requiring any network changes. You integrate the Prisma AIRS API (AIRS API) directly into your application or AI agent pipeline, and security policies travel with the code, not the infrastructure.

The AIRS API scans prompts and model responses in real time, returning a threat verdict and recommended action based on your configured security profile. Its model-agnostic design works with any public or private large language model (LLM), regardless of architecture or framework, giving you consistent security across diverse AI environments. You can also scan batched training data for threats and data poisoning before fine-tuning models, and return custom error responses when threats are detected.

Prisma AIRS API intercept protects against the most prevalent AI application threats — prompt injection in 30+ attack variations, sensitive data leakage, malicious URL delivery across 74 categories, toxic content, and adversarial model manipulation. It secures AI agents in no-code, low-code, and pro-code environments, and integrates natively with LLM gateways through the Prisma AIRS API intercept so you can apply consistent security policies without duplicating enforcement logic across application boundaries.

Use AIRS API when you need code-level security enforcement that follows the application rather than the network path, when you need protection for agents running on managed cloud services that can't be transparently proxied, or when you want programmatic control over how your application responds to detected threats. The Python SDK provides a higher-level integration for teams building in Python.