CalypsoAI provides an AI security platform that tests, protects, and governs generative AI deployments across the enterprise.
CalypsoAI addresses the risk surface created when organizations deploy large language models. Its platform runs automated red-team testing against models and applications, probing for prompt injection, data leakage, and unsafe outputs before release. Runtime protection then inspects prompts and responses in production, blocking policy violations and attacks in real time. Governance dashboards give security leaders an inventory of AI usage, risk posture, and compliance evidence across teams and vendors. The system works across major models and deployment patterns, including custom internal tools, and its testing datasets evolve with the attack landscape. For enterprises under pressure to adopt AI while meeting regulatory expectations, CalypsoAI turns an abstract risk conversation into measurable, reportable controls. Deployment is flexible — cloud, private, or hybrid — and the platform integrates with existing security operations tooling so AI risk joins the workflows defenders already run rather than creating a parallel silo.
CalypsoAI is sold through enterprise agreements based on the number of models and applications protected. Engagements include risk assessment, integration support, and continuous test-dataset updates.
Enterprises deploying generative AI in regulated or high-risk settings that need demonstrable testing, runtime protection, and governance rather than policy documents alone. CISOs who must answer board and regulator questions about AI risk will find the reporting layer as important as the technical controls themselves. Engineering teams gain a repeatable pre-release gate that turns AI safety review from debate into evidence.