DeepKeep

About DeepKeep

DeepKeep is a purpose-built AI security platform that protects generative and agentic AI systems across their entire lifecycle, from pre-deployment testing through continuous runtime protection. Traditional security tools, firewalls, IAM policies, endpoint protection, were built for deterministic software, but AI systems are probabilistic: the same input can produce a safe answer today and leak data tomorrow, and autonomous agents that call tools, query databases or trigger workflows dramatically expand the attack surface. DeepKeep targets exactly this gap, securing the behavior, inputs and outputs of the models themselves rather than just the infrastructure around them.

The platform brings together several capabilities in one place. An AI Firewall provides real-time detection and guardrails, evaluating every request against what it's actually trying to do rather than just its surface text, so real threats surface while false positives don't. AI Red Teaming continuously tests foundation models, applications and autonomous agents across single-turn, multi-turn and multi-session interactions, generating adversarial prompts dynamically to probe for prompt injection, jailbreaking, data leakage, bias, hallucination and agent misuse, with CI/CD integration and full traces on every finding. Its AI Agent Scanner maps what agents can access and where they're vulnerable, based on the OWASP Top 10 for Agentic Applications, and Model Scanning adds static and dynamic supply-chain checks. Findings roll up into a single risk posture mapped to frameworks like the EU AI Act, GDPR and NIS2. Founded in 2021 and enterprise-proven, DeepKeep is aimed at security teams deploying LLMs, computer vision and AI agents who need to adopt AI safely and stay compliant.