Comprehensive cloud protection for AI-driven environments through advanced runtime insights
Uncover and secure unauthorized or unmanaged AI systems within your environment.
Detect Shadow AI
Identify and control unsanctioned AI tools and models operating outside IT and security oversight, such as rogue APIs or unmanaged ML models.
Assess Risk Exposure
Prioritize and evaluate potential vulnerabilities and sensitive data exposure tied to shadow AI systems, ensuring the most critical risks are addressed first.
Take Control
Seamlessly integrate identified risks and insights into your existing workflows and remediation pipelines for proactive security management.
Gain full visibility into all AI services and tools within your environment, both internal and external.
API-Based Discovery
Automatically discover all AI services through API (L7) analysis, building a real-time inventory of AI agents and their data flows.
Internal and External AI Services
Detect external SaaS tools like ChatGPT and internal AI systems tied to Retrieval-Augmented Generation (RAG) databases.
Database Mapping
Identify and monitor databases feeding your AI systems to ensure data transparency and operational integrity.
Proactively manage and secure AI models in production.
AI Risk Detection
Identify and mitigate risks in AI workflows, such as vulnerable libraries, dependency issues, data poisoning, or adversarial inputs.
Policy Enforcement
Align AI model usage with compliance standards and organizational policies.
Risk Insights
Provide actionable insights to prioritize and mitigate risks associated with AI deployment.
Protect AI systems in real-time by identifying and mitigating security threats.
Sensitive Data Detection
Monitor for Personally Identifiable Information (PII), secrets, and other sensitive data traversing AI workflows.
Secure Prompt Interactions
Utilize tools like LLM Guard to analyze and safeguard prompts in real time.
Incident Prevention
Stop incidents at the source with rapid detection and mitigation measures.
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