Static evals test what you expect. Shade tests for what you don't. Powered by threat intelligence from the Arena, Shade runs autonomous adversarial campaigns against your AI agents by adapting, escalating, and chaining attack techniques the way a real attacker would.
Most AI red teaming is a fixed set of known attacks, run once, against a model already hardened against them. The findings look thorough. They miss almost everything that matters.
Shade is different. LLM-powered adversarial agent, powered by attack data from the largest network of AI red teamers breaking frontier models around the clock, running attack campaigns against your model, your guardrails, and your actual deployment context.
Scenarios scoped to your model, guardrails, tools, and deployment context.
Attack strategies updated as new techniques are discovered in the Arena.
Not a surface scan. Thousands of variants targeting your weakest points.
Findings with reproductions and severity ratings. Test again after remediation.
The attack landscape moves with every model release. Shade's adversarial agents and attack library are refreshed continuously so every run reflects what works now, not what worked when the methodology was last published.
Shade doesn't run a thousand shallow attacks to pad a report. It runs adaptive scans focused on where your system is most likely to break providing severity levels and breaks with reproduction capabilities and a path to fix it.
The researchers behind all the frontier model system cards build Shade's adversarial strategies directly. No rebadged open-source attack list. The capability that breaks the latest models is the capability running against yours.
Customer-facing agents, internal copilots, high-stakes workflows. You need to know where you're exposed before an adversary or a regulator does.
You're integrating AI into existing products and need an honest assessment of the new threat surface, not just a vendor's reassurance.
Third-party adversarial evidence for internal sign-offs, audits, and emerging AI regulatory frameworks. Findings that hold up to scrutiny, not a compliance checkbox.
Get a security platform that evolves faster than the threats targeting your AI.
