Gray Swan Platform

What it does

The Gray Swan Platform combines adversarial AI red teaming with runtime protection for enterprises deploying large language model (LLM) applications and AI agents. Its Shade component runs autonomous adversarial campaigns that adapt, escalate, and chain attack techniques against a target system, while its Cygnal component sits inline to classify adversarial inputs and unsafe outputs in real time. The pairing exposes weaknesses in an AI system and then blocks the same attacks in production.

How it works

Shade uses an LLM-powered adversarial agent, drawing on attack data from a network of more than 15,000 AI red teamers, to scope campaigns to a target's model, guardrails, tools, and retrieval systems, then returns reproducible transcripts, severity ratings, and a prioritized remediation roadmap. Cygnal deploys inline between users, models, agent tool calls, and retrieval pipelines, validating every prompt, response, and tool interaction against custom policies in milliseconds with configurable block, flag, or rewrite actions. Both integrate through a lightweight API and log every classification for review.

Credentials and traction

SOC 2 Type II certified, with the audit report available through the company's Trust Center, and Cyber Essentials certified. Gray Swan serves more than 20 enterprise customers and is relied on as an adversarial evaluation standard by frontier AI labs, including OpenAI, Anthropic, and Google DeepMind. It has run public agent red-teaming challenges with the UK AI Safety Institute and the U.S. AI Safety Institute, targeting enterprises deploying AI agents and the labs building frontier models.