Prisma AIRS Model Security
Comprehensive vulnerability and tampering protection for AI/ML models
Publisher
Palo Alto Networks
Product Details
This offering adds an automated defense layer to the machine learning pipeline so that every model, open-source or internally developed, is vetted for safety before it reaches production. As generative AI deployment speeds up, it treats security as part of the AI lifecycle rather than an afterthought.
It scans model versions against security rules to detect hidden risks before deployment. It blocks critical exploits such as arbitrary code execution and deserialization threats that often slip past traditional perimeter security. It identifies trojan triggers inside neural networks that are designed to cause malicious behavior under specific conditions, and it monitors models during inference to protect AI-driven applications. Acting as a dedicated AI security agent, Prisma AIRS enforces consistent standards across deployments, supporting compliance and trust in AI models.
Key Use Cases
Pre-Deployment Model Vulnerability Vetting
Scans internal and open-source ML model files for arbitrary code execution, unsafe deserialization, and tampering before production promotion.
Neural Network Trojan and Tamper Detection
Identifies hidden trojan triggers and malicious behavioral modifications in neural networks to ensure AI application integrity and compliance.
Explore detailed deployment path
Requires Gemini. Access integration prerequisites, specialized agent configuration guides, and implementation documentation.