An Intellyx Brain Candy Brief
Given all the attention these days to AI security, it’s perhaps not surprising the large analyst firms have divided the market into several segments: AI governance, AI runtime inspection and enforcement, AI security testing and red-teaming, AI infrastructure/model supply chain security, shadow AI protection, and of course, agentic AI security – to name a few.
Rather than jumping into one or more of these segments, DeepKeep offers a comprehensive, full-lifecycle AI security platform that includes AU red teaming (penetration testing), AI runtime protection, shadow AI protection, and agentic AI security – all within a unified platform.
DeepKeep takes business context into account, implementing AI guardrails at the semantic layer both for runtime protection as well as discovery of employee AI activity and enforcement of corporate AI policies around such activity.
The platform works with LLMs as well as image data, automatically evaluating AI-related security risks and measuring trustworthiness across the AI lifecycle.
DeepKeep runs as a SaaS offering or in customers’ private clouds, on-premises data centers, or in fully airgapped environments. While the platform is a unified offering, the company sells individual modules for companies that require part of the solution.
Customers can deploy DeepKeep in two configurations: either as a proxy that secures prompts transparently to the user, or via APIs where AI process orchestrators send prompts to DeepKeep for scanning and policy enforcement.
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