Protecting AI Lifecycle from Initial Initial Data to Deployed Models.
We provide comprehensive, end-to-end security for your AI-powered enterprise. Our solutions protect the entire AI lifecycle, from securing models and data supply chains against threats, to runtime detection, access control, and ensuring responsible AI governance for confident, secure innovation.
AI Security:Safeguarding Models, Data, and Responsible AI Usage
Model Protection
We safeguard your proprietary AI models from theft, evasion attacks, and reverse engineering, protecting your most valuable intellectual property from compromise.
LLM/GenAI Security
We shield your large language and generative AI models from prompt injection, data poisoning, and misuse, ensuring secure and intended operation.
Supply Chain Security
Securing your AI supply chain by validating the integrity and lineage of all data and models before they are ever deployed into production.
Shadow AI Visibility
We help you discover, monitor, and control unauthorized or ungoverned "Shadow AI" use across your organization to mitigate unseen security risks.
Runtime Threat Detection
Actively monitoring AI models during execution to instantly identify and respond to anomalies, adversarial attacks, and other real-time security threats.
Responsible AI & Governance
Implementing robust frameworks and audit trails to ensure your AI systems operate with fairness, transparency, and full compliance with regulatory standards.
AI Posture Management
Continuously assessing and maintaining the real-time security health and posture of all your AI assets, from models to data and infrastructure.
Developer Security Tools
Integrating automated security tools directly into MLOps and CI/CD pipelines, making security a seamless and proactive part of the development lifecycle.
AI Access & Identity Controls
Enforcing granular, role-based access controls (RBAC) for all AI models and APIs, ensuring only authorized users and services can interact.
OT/Edge AI Protection
Securing AI inference models deployed on OT, IoT, and other edge devices in the field, protecting them from physical and network-based attacks.
Data-Centric AI Security
Implementing a data-centric approach to protect, encrypt, and anonymize sensitive data throughout the entire AI development and operational lifecycle.
