General Analysis

General Analysis is an AI security platform that helps organizations understand and reduce risks in AI agents and systems, from development through production. It enables security teams to discover AI assets across code repositories, cloud accounts, data sources, and model providers, then assess them through automated, context-aware adversarial testing. Red-team simulations examine risks such as credential access, data exfiltration, unsafe tool use, and improper handling of personal information, helping teams identify vulnerabilities before deployment.

For live systems, General Analysis provides runtime guardrails, monitoring, and response capabilities. Teams can detect and block threats including prompt injection, sensitive-data leakage, and privilege escalation, while tracking agent behavior and performance drift. The platform also supports policy testing and security controls across connected tools and workflows.

General Analysis serves a range of use cases, including employee copilots, coding and customer support agents, content moderation, marketing, healthcare, legal, and financial applications. Its offering is designed to help organizations test, monitor, and protect agentic AI while maintaining greater visibility and control over how these systems interact with data, tools, and users.