Enkrypt AI

What it does

Enkrypt AI is an AI security and compliance platform for large language model (LLM) and agentic applications, pairing offensive testing with runtime enforcement in one closed loop rather than selling either half alone. Its distinguishing mechanism is promotion: failure modes surfaced by Agent Red Teaming are converted into Agent Guardrails policies enforced in production, while the Agent Policy Engine ingests governance documents and regulation PDFs and atomizes them into controls that trace back to the originating clause.

How it works

Six modules cover the pipeline. Agent Red Teaming generates use-case-specific attacks across text, image, and audio against agents, retrieval-augmented generation systems, and tool chains, returning a findings register with reproduction steps and a regression suite that runs as a CI release gate. Agent Guardrails enforces at four boundaries, prompt, retrieval, tool, and output, through detectors covering prompt injection, personally identifiable information, toxicity, answer adherence, system-prompt leak, and copyright leak. MCP Scanner inventories Model Context Protocol servers and tools; the open-source MCP Gateway proxies their traffic inline. Every decision carries a policy ID, reason code, and trace ID.

Credentials and traction

SOC 2 Type II certified. Named a Gartner Cool Vendor in AI Security in 2025, an AI Infrastructure winner at Accenture Ventures in 2025, a 2025 Cyber Defense Magazine winner for Best Solution in AI Security and Compliance, and a 2025 Cyber Security Excellence Award winner. Case studies cover safety alignment for the AI21 Labs Jamba model family and the NATO Strategic Communications Centre of Excellence; Skyhigh Security embeds its generative AI risk capabilities in a cloud access security broker.