For C-Suite
You’re one AI failure away from a story you don’t want to read.
Your company is running AI in production. Every call, every agent, every model has the company’s name on it. Today, one bad output can cost a customer, a regulator’s attention, or the brand. Realm makes that single incident impossible to miss, easy to stop, and provable to the board.
Prism
See what your AI is doing in production.
OmniGuard
Stop the bad output before the customer sees it.
AGENTRealm
Same coverage for agents that take action on your behalf.
The Problem
You bought AI for the upside. You own the downside too.
You are paying for AI to make the company faster, cheaper, and smarter. Every token sent assumes the AI did its job. The reality your team will not tell you directly is this: AI is non-deterministic. Even the people who built the frontier models cannot guarantee how the next response will land. The 95% of the time it works is invisible. The 1% that goes wrong is on the front page.
The blast radius is no longer hypothetical. An airline’s chatbot invented a refund policy and the court enforced it. A car dealership’s bot agreed to sell a truck for one dollar. An AI assistant gave unauthorized medical advice to an employee. A retrieval agent leaked source code into a customer transcript. None of these were caught by a firewall or a content filter. All of them ended up as the brand story for that week.
Your team is shipping AI faster than the company can absorb the risk. Your security team is gating it with reviews that slow the roadmap. Your auditor is asking for evidence nobody has. And the board is asking what your AI risk posture looks like.
The blast radius is no longer hypothetical. An airline’s chatbot invented a refund policy and the court enforced it. A car dealership’s bot agreed to sell a truck for one dollar. An AI assistant gave unauthorized medical advice to an employee. A retrieval agent leaked source code into a customer transcript. None of these were caught by a firewall or a content filter. All of them ended up as the brand story for that week.
Your team is shipping AI faster than the company can absorb the risk. Your security team is gating it with reviews that slow the roadmap. Your auditor is asking for evidence nobody has. And the board is asking what your AI risk posture looks like.
What Realm Delivers
See it. Stop it. Prove it. At the model layer.
See every failure across the company.
Stat: 95% of GenAI pilots fail to achieve outcomes. Realm shows you why.
You see the 90% your existing stack misses. The incident report shows what happened, why, and which controls fired. You see the 90% your existing stack misses. The incident report shows what happened, why, and which controls fired.
You see the 90% your existing stack misses. The incident report shows what happened, why, and which controls fired. You see the 90% your existing stack misses. The incident report shows what happened, why, and which controls fired.
Outcome: The AI risk conversation moves from anecdotes to dashboards. The board gets the number.
Stop the failure before it reaches the customer.
Stat: 100% of production traffic scored. Inline-fast.
OmniGuard intervenes inline. The unsafe output is blocked, redacted, or rewritten at the model layer, before the customer, the press, or the regulator sees it. Identity-bound, policy-driven, auditable.
OmniGuard intervenes inline. The unsafe output is blocked, redacted, or rewritten at the model layer, before the customer, the press, or the regulator sees it. Identity-bound, policy-driven, auditable.
Outcome: The viral incident becomes a blocked row in the audit log. The story you didn’t want to read never gets written.
Prove control effectiveness to the board, the auditor, and the regulator.
Stat: Continuous mapping to EU AI Act, NIST AI RMF, ISO 42001, OWASP LLM Top 10.
Every event becomes audit evidence. Mapped continuously to the frameworks your auditor and your regulator already use. The quarterly board report on AI risk becomes an export, not a project.
Every event becomes audit evidence. Mapped continuously to the frameworks your auditor and your regulator already use. The quarterly board report on AI risk becomes an export, not a project.
Outcome: AI governance stops being a one-time deck and becomes a control library. Renewals and audits accelerate.
Prism
The MRI for your AI. See what’s happening inside the model in real time.
OmniGuard
The intervention layer. Block the bad output before it ships.
AGENTRealm
The agent-runtime layer. Same coverage for agents that take action on your behalf.