Radar
End-to-End AI Risk Management
Radar empowers your teams to quickly detect and respond to security threats across the entire AI lifecycle.
Maximize Productivity, Minimize Risk
The rapidly evolving adoption of AI creates unique challenges for organizations to ensure their applications are secure and compliant. Hidden security risks within AI systems escape your current AppSec governance and control policies.
Radar is the most advanced solution to secure Artificial Intelligence and Machine Learning, and safeguard against vulnerabilities. It empowers your organization to detect and mitigate risk in your AI/ML systems efficiently, and confidently.
Visibility
From AppSec to ML teams, gain a complete view of your ML environments, with quick identification of risks and threats in ML systems and AI applications.
Auditability
Empower AppSec teams to implement advanced auditability and risk management across technical, regulatory, operational and reputational domains.
Security
Build secure-by-design AI, with integrated security checks and automatic detection of risks in your models related to regulatory compliance, data, and infrastructure.
The Most Advanced Solution to Secure Your AI
Comprehensive Security Scans
Radar provides detailed insights into the security posture of your AI/ML resources and environments, and prioritizes risks for AppSec and ML teams, so they can easily address these risks efficiently, and embrace MLSecOps.
Contextualized Insights
Receive a tamper-proof ledger for all models and dependencies, that provides a comprehensive view and pinpointed visibility into your entire AI/ML system, spanning various MLOps vendors, cloud providers, and supply chain assets.
Policy Enforcement
Radar has an advanced policy engine that enables seamless standardization, ensuring consistent protection throughout the entire AI/ML environment, to simplify the management of AI risk, compliance, & security.
Flexible Integration
Radar's SDK allows ML Engineers to leverage their existing tools to integrate their work quickly into Radar, no matter the cloud vendor or platform that they use.
Start Understanding and Managing Your AI Risk
Key Features
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ML Security Insights
See quantified insights on the health of key assets in your ML ecosystem, with high level monitoring of vulnerabilities in your ML supply chain (datasets, foundational models, OSS libraries).
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Policy Engine
Use pre-defined, or create your own policies, to report on security threats, compliance issues, and other operational risks.
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Model Scanning
Automated scans of every ML model in your environment, to identify and protect against malicious model code injection.
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ML Bill of Materials
Retrieve a “tamper-proof” ML Bill of Materials (MLBOM), for a comprehensive list of all components and dependencies in your ML system, for quick and easy audits on model versioning.
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Exploration and Identification
Search for specific risks and issues within models, datasets, and other ML components, to understand the downstream impact of risks and policy violations in your entire ML system.
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ML Security Insights
See quantified insights on the health of key assets in your ML ecosystem, with high level monitoring of vulnerabilities in your ML supply chain (datasets, foundational models, OSS libraries).
-
Policy Engine
Use pre-defined, or create your own policies, to report on security threats, compliance issues, and other operational risks.
-
Model Scanning
Automated scans of every ML model in your environment, to identify and protect against malicious model code injection.
-
ML Bill of Materials
Retrieve a “tamper-proof” ML Bill of Materials (MLBOM), for a comprehensive list of all components and dependencies in your ML system, for quick and easy audits on model versioning.
-
Exploration and Identification
Search for specific risks and issues within models, datasets, and other ML components, to understand the downstream impact of risks and policy violations in your entire ML system.