DeepKeep

DeepKeep is an AI security platform that protects models, applications and agents across their lifecycle with runtime guardrails, red teaming, agent and model scanning, and usage control, deployable in the cloud, on-prem or air-gapped.

DeepKeep is an enterprise AI security platform that applies a single policy engine to generative models, AI-powered applications and autonomous agents. It targets the gap that appears when systems behave differently on every run: the same prompt can yield a safe answer one day and a data leak the next, while agents, MCP servers and third-party tools keep widening the reachable attack surface. The product is organized around five capabilities. AI Firewall provides runtime guardrails (the site cites more than 60) for apps and agents. AI Red Teaming runs adversarial simulations across text, image and video, with a vibe-based mode in which a human steers attacks by feel, or a fully automated mode for continuous coverage. AI Agent Scanner maps every tool, connected system and action an agentic workflow can reach. Model Scanning performs static and dynamic supply-chain checks, including MLBOM and CVE detection. AI Lens gives security teams visibility into shadow AI, role-based usage control and runtime protection for how employees and developers use AI. In practice, findings, guardrail events, agent inventories and red team results feed one console that produces a unified risk score across models, apps and agents, mapped to frameworks auditors already use. The homepage points to the EU AI Act, GDPR and NIS2 as the pressure driving that evidence requirement. Detection is described as cognition-based, evaluating the context and intent of a request rather than surface text, and as natively multimodal, so text, images and video are treated as one signal. Deployment can be SaaS, on-premises, a private VPC or an air-gapped environment. DeepKeep suits security, risk and platform teams at larger organizations that ship customer-facing AI, govern internal AI usage or run agentic workflows. Compared with narrower point tools that only filter prompts or only scan model files, it positions itself as an end-to-end suite. Access is demo-led rather than self-serve, and the homepage cites coverage from Gartner, Omdia, Intellyx and MarketsandMarkets.