Deepkeep

DeepKeep is a web-based AI security platform for enterprises, developers, and security teams that need protection across the AI lifecycle, from model development and R&D to real-time use in applications and autonomous agents.

Key capabilities include:

• AI Agent Scanner to map an agent’s attack surface and inspect LLMs, tools, integrations, and workflows, then surface weaknesses with prioritized mitigation recommendations.
• Centralized AI usage control (AI Lens) to govern how employees and developers use AI tools, including model approval, guardrail enforcement, and interaction monitoring without blocking productivity.
• Vibe AI Red Teaming with the Reddy co-pilot agent to run human-steered, natural language-driven security testing across models, apps, and agents.
• Runtime and supply-chain protections such as an AI Firewall for real-time detection and guardrails, plus model scanning with static and dynamic checks for provenance, compliance, and operational safety.

Pricing: Not disclosed.

Notable for its model-agnostic, multi-layer approach that covers LLMs and computer vision pipelines, including dataset data integrity analysis for vision workloads.