The use of #MLmodels without security checks puts your enterprise at risk.
ML models containing malicious code can be downloaded and deployed in your environment. With no policies or controls to scan for these hidden risks, you can be exploited by internal and external #cybersecurity criminals.
Guardian enables #ZeroTrust for ML Models:
🛡️ Model Security Enforcement
AppSec teams can protect against threats with enterprise wide policies to enforce the use of secure models within the organization and improve security posture.
🔍 Comprehensive Model Scanning
Guardian goes beyond traditional malware scanning tools, automatically detecting malicious code in ML models early in development and before deployment.
🛠️ Supports Leading Model Formats
Guardian supports policy enforcement for 20 different model
formats including PyTorch, TensorFlow, XGBoost, Keras and
other popular frameworks.
📃 Policy Engine
Guardian comes with out-of-the-box policies for model acceptance or rejection, including the enforcement of checks
for where the model is from, malicious code, safe storage
formats, OSS licensing, and more.
🔗 Ease of Integration
Guardian integrates easily with existing #MLOps workflows, to keep pace with AI-driven innovation.
In case you missed us at BlackHat, watch a live demo of Guardian here: https://hubs.ly/Q02M7WgB0
Interested in learning more about how Protect AI can help keep your ML supply chain secure? Sign up for a demo today: https://hubs.ly/Q02M7LdZ0
#AISecurity #ModelSecurity #MLSecOps #LLMSecurity