Close the AI Attack Surface

Your AI systems aren’t just tools. They’re targets.
Prompt injection, jailbreaks, adversarial manipulation; attackers are already probing your AI for ways in.

Gray Swan hardens your AI against the attacks already being used in the wild.

Traditional security wasn’t build for AI.
Attackers already know that.

Your perimeter security, endpoint protection, and application firewalls don't cover what happens inside an AI system. Attackers know this and they’re building toolkits specifically designed to exploit it.

Prompt injection

Malicious instructions embedded in user inputs or external data that hijack agent behavior.

Jailbreaks

Crafted inputs that bypass safety guardrails, unlocking capabilities your AI was never supposed to expose.

Agent manipulation

Mulit-step attacks that exploit an agent's tool access, memory, or reasoning to achieve goals the attacker chooses.

AI as an entry point

Compromised AI systems become vectors for broader attacks: accessing internal APIs, databases, and infrastructure with the agent's own permissions.

Your AI has the access of an insider and the exposure of a public endpoint.
That’s the attacker’s ideal target.

Offense and Defense. Working Together.

Hardening AI requires both: testing like an attacker and defending in real-time. Gray Swan does both and each side makes the other stronger.

ADVERSARIAL RED-TEAMING

Offense: Break it systematically

Run autonomous adversarial campaigns against your AI systems simulating prompt injection, jailbreaks, multi-step manipulation, and tool exploitation at scale. It doesn't run static tests. It adapts, escalates, and chains techniques the way a real attacker would. Every vulnerability Shade finds becomes a defense Cygnal enforces.

RUNTIME PROTECTION

Defense: Block it at runtime

Monitor every interaction your AI has in production: detecting and blocking adversarial inputs, exploitation attempts, and anomalous behavior as they happen. Its detection models are trained on real attack patterns from the Arena, not theoretical threat taxonomies.

What this looks like in practice

Shade
Adversarial Attack Simulation

Shade autonomously runs prompt injection, jailbreak, and manipulation campaigns against your AI and adapting techniques in real-time, the way an attacker would.

Learn More About Shade
Cygnal
Runtime Threat Detection

Cygnal identifies and blocks adversarial inputs, injection attempts, and exploitation patterns at runtime, before they compromise your AI's behavior.

Learn More About Cygnal
Screenshot of Shade interface in a light UI

Built by the People Breaking AI Systems Every Day

Most AI security tools defend against yesterday’s attacks. Gray Swan’s team is running tomorrow’s.

Our Arena is where novel AI attack techniques are discovered before they’re documented, disclosed, or weaponized at scale. That research doesn’t just produce papers. It directly trains the models inside Shade and Cygnal that protect your enterprise.

You’re not buying a product trained on public CVEs. You’re getting the team that’s finding the vulnerabilities in the first place.

Attackers are already testing your AI.
Shouldn’t you be?

See how Gray Swan hardens your AI systems with offensive testing and real-time defense, powered by the industry’s leading threat intelligence.