DeepKeep
Secure AI applications, agents, and models across their lifecycle
DeepKeep is an enterprise AI security platform for testing, governing, and protecting AI applications, autonomous agents, and models. It combines pre-deployment scanning and red teaming with runtime guardrails and visibility controls.
Agenticness = how independently a tool can take action, scored across 9 dimensions. Scored independently by David Kooi, Skylark Creations — see full rubric → Last re-evaluated 12 September 2026.
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About
DeepKeep is a B2B AI security platform for organizations deploying generative AI, agentic workflows, language models, and computer-vision systems. It is positioned as a full-lifecycle security layer: teams can assess models and applications before...
DeepKeep appears best suited to enterprise security, governance, and AI platform teams that need controls spanning development and production. Its stated coverage is unusually broad: supply-chain checks, adversarial evaluation, runtime guardrails,...
Executes tasks you assign, one step at a time, within narrow domains.
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When DeepKeep changes its pricing, we catch it the next morning
We recrawl every tool in this directory daily. AI Insider is the 3-minute brief on what actually changed — pricing, features, score moves on our 36-point rubric — often before any press coverage. Sent daily. Skipped when nothing happened.