Manage AI Risk and Application Security
Risk management involves Data , Model, operational, Ethical and compliance risks for identifying and addressing vulnerabilities and threats for Agentic Systems
Autonomous SoC
Enabling faster threat detection, containment, investigation and response. Eliminating alert fatigue and hyperautomation of Case Management with Agentic and Augment Soc Analysts with Aviators and Droids.
Red Team for Agents and Enterprise Workflows
To identify and explore potential risks in an agentic system by simulating real-world attacks, including malicious inputs, biased data, or adversarial manipulation attempts with structured way including leaks of sensitive data and generated content.
AI Software Supply Chain
Application Security involves AI Security and safety, putting a risk management framework into action with Visibility through an AI-BOM, Proactive risk mitigation with context, and Threat detection in pipelines.