Prisma AIRS AI Runtime: API Intercept Overview
Use Prisma AIRS AI Runtime: API intercept to embed Prisma AIRS
Security-as-Code in your applications.
Prisma AIRS AI Runtime: API intercept is a threat
detection service designed to secure AI applications. It helps discover and protect
applications using REST APIs by embedding Security-as-Code directly into source
code.
The Scan API service scans prompts and models responses to identify
potential threats and provides actionable recommendations.
The APIs protect your AI models, applications, and datasets by programmatically scanning
prompts and models for threats, enabling robust protection across public and private
models with model-agnostic functionality. Its model-agnostic design ensures seamless
integration with any AI model, regardless of its architecture or framework. This enables
consistent security across diverse AI models without any model-specific
customization.
You can use this API in your application to send prompts or model responses and
receive a threat assessment, along with the recommended actions based on your API
security profile.
For information on using the APIs, see the
Prisma
AIRS API reference documentation.
Where Can I Use This? | What Do I Need? |
- Prisma AIRS AI Runtime: API intercept
security in AI models and applications
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Key Features:
- Simple integration: Secure AI application models and datasets from insecure model
outputs, prompt injections, and sensitive data loss.
- Comprehensive threat detection: Provides extensive app, model, and data threat
detection while maintaining ease of use.
- Exceptional flexibility and defense: Integrates API-based threat detection to
deliver unmatched adaptability and layered protection.
Activation and Onboarding Workflow
Use Cases- Secure AI models in production: Validate prompt requests and
responses to protect deployed AI models.
- Detect data poisoning: Identify contaminated training data
before fine-tuning.
- Protect adversarial input: Safeguard AI agents from malicious
inputs and outputs while maintaining workflow flexibility.
- Prevent sensitive data leakage: Use API-based threat detection
to block sensitive data leaks during AI interactions.
Limitations