Gray Swan Shade

What it does

Shade takes in an AI agent or model deployment and runs autonomous adversarial campaigns against it, covering the model, its guardrails, and the tools and context it operates in. It adapts, escalates, and chains attack techniques over many variants, then returns findings with severity ratings, reproductions, and the option to retest after remediation.

Teams use Shade to find failure modes that fixed, known-attack evaluations tend to miss. Scenarios are scoped to the specific deployment, and attack strategies are described as updated as new techniques are discovered in Gray Swan's Arena, a network of 15,000+ adversarial red-teamers. The vendor says the strategies are built by researchers behind frontier model system cards.

Shade is aimed at enterprises running AI agents in production, security teams absorbing new AI risk, and GRC teams needing third-party adversarial evidence. Entry is through a demo request; self-serve signup and pricing are not confirmed. Findings reflect the scenarios run against a given deployment, so they are an assessment rather than a guarantee of safety.

What it can do

• Runs autonomous adversarial campaigns against AI agents, adapting and chaining attack techniques.
• Scopes threat scenarios to the target model, guardrails, tools, and deployment context.
• Produces findings with reproductions and severity ratings.
• Retests after remediation to verify fixes.
• Refreshes attack strategies as new techniques are discovered in the Arena.

Before you choose

• Shade is an adversarial testing product; it does not enforce runtime blocking. Gray Swan's runtime product is Cygnal, which is separate.
• Findings reflect the scenarios run against a given deployment and are an assessment, not a complete safety guarantee.
• Pricing and deployment options for Shade are not stated on its page; confirm them with the vendor during the demo.

Listed under

• Security
• AI and agent security

Get started

The page offers a demo and a security-expert conversation as the entry point.

1. Request a demo through the Schedule a Demo link on the Shade page.
2. Discuss the target model, guardrails, tools, and deployment context so Shade can scope threat scenarios.
3. Review the severity-rated findings and reproductions, then retest after remediation.

No plan, price, trial, or usage terms are stated for Shade. Ask the vendor for pricing when requesting a demo.

We couldn’t find published prices for Gray Swan Shade.

Sources for this overview

Product pages, documentation, and pricing checked 29 Oct 2026. Each source supports part of the overview; availability and prices can change.

• Shade - Adversarial Red-Teaming ↗www.grayswan.ai
• Gray Swan - Enterprise Security for AI-Powered Applications ↗www.grayswan.ai
• Cygnal - Runtime Monitoring and Protection ↗www.grayswan.ai
• Arena - Red-Teaming Battlefield for Breaking AI Models ↗www.grayswan.ai

Company website

grayswan.ai: product, pricing and policy pages

Social accounts

Accounts the company links, and its posts on X

Human review

Checked by a person

knowledge_base

manual_review

Last checked 29 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.