Customer-facing AI is a brand ambassador with no filter and no training manual. One off-brand response, one harmful output, one viral screenshot and the damage is done.
Gray Swan ensures your AI represents your brand the way you intend. Every interaction.
AI models aren’t trained on your brand guidelines. They don’t understand your tone, your values, or the things you’d never say publicly. But they’re talking to your customers right now.
A single harmful, biased, or off-brand AI response can go viral before your team even knows it happened.
AI-generated actions or recommendations that contradict your brand's stated positions erode trust with the audiences that matter most.
The more AI touchpoints you deploy, the more surface area for brand-damaging outputs.
Users who have one bad AI experience don't file a support ticket. They leave. And they tell people about it.
Gray Swan sits between your AI and your audience. Identifying high-risk behaviors, off-brand outputs, and reputation-threatening responses before they ever reach a user.
Cygnal monitors every customer-facing AI interaction in real time, flagging and blocking outputs that violate your brand policies whether that's harmful content, tone violations, or responses that contradict your public positions. It goes beyond toxicity filters. It enforces your definition of what's acceptable.
Gray Swan pressure-tests your customer-facing AI before it ever reaches your audience. If your AI can be pushed into saying something you’d have to apologize for, we find it first.
Shade stress-tests your AI the way the internet will. It probes for the embarrassing edge cases, adversarial prompts, and failure modes that turn into headlines so your team finds them in testing, not on Reddit.
Every scenario Shade and Cygnal evaluate is informed by real-world adversarial techniques from Gray Swan’s Arena, including the exact kinds of manipulations that have caused public AI failures at other companies.
Simulate the exact prompts and edge cases that cause public AI failures via jailbreaks, manipulation, controversial topic handling and more, before your customers find them.
Continuous monitoring across all customer-facing AI touchpoints. Flagging and blocking happens in milliseconds, not after a support ticket.
Gray Swan’s AI red teaming network discovers new AI failure patterns continuously. Those findings are built into your brand protection models so your defenses stay current.
Most brand safety tools filter for toxicity. Gray Swan goes further.
We test for the nuanced, context-dependent failures that actually cause reputational damage.
That’s because our Arena doesn’t just catalog known risks. It discovers new ones. The adversarial techniques that have caused headline-making AI failures at other organizations? We’ve been finding and cataloging those patterns for years. That intelligence is what makes Gray Swan’s brand protection sharper than anything rule-based.
Your brand took years to build. Your AI shouldn’t be able to undermine it in seconds.
See how Gray Swan protects your brand across every AI interaction before a bad output becomes a headline.
