For AI product and platform teams
Ship AI faster. Without shipping the next failure.
You own the velocity of every AI feature that goes to production. Realm gives your team runtime visibility, real-time intervention, and the interpretability trace your security partners need, so you stop spending sprints defending the model and start spending them shipping.
Prism
Runtime telemetry for every model call. The MRI for your AI.
OmniGuard
Detect and block unsafe outputs instantly.
AGENTRealm
Control agent workflows in real-time, intervening before execution.
The Problem
You can ship AI fast, or you can prove it's safe. Not both.
You’re shipping AI features faster than the rest of the company can absorb the risk. Every new model, every new tool call, every new agent gets the same three reactions from security, GRC, and the executive sponsor: how do you know it’s safe, how do you know it stays safe, and how will you prove it when something goes wrong.
Today, you don’t have a clean answer. Your eval suite tells you what the model did yesterday on a fixed dataset. Your APM tells you the request returned. Your SIEM tells you the traffic came from a legitimate IP. None of them tell you what the model actually said to the user, what reasoning it used to get there, or whether a single output just put the company on the front page of TechCrunch.
So the loop tightens. Security gates every new launch with a four-week review. Product asks why the AI roadmap is slipping. The platform team gets pulled into incident war rooms that nobody can resolve because nobody can see inside the model. And you absorb the cost in your team’s calendar.
Today, you don’t have a clean answer. Your eval suite tells you what the model did yesterday on a fixed dataset. Your APM tells you the request returned. Your SIEM tells you the traffic came from a legitimate IP. None of them tell you what the model actually said to the user, what reasoning it used to get there, or whether a single output just put the company on the front page of TechCrunch.
So the loop tightens. Security gates every new launch with a four-week review. Product asks why the AI roadmap is slipping. The platform team gets pulled into incident war rooms that nobody can resolve because nobody can see inside the model. And you absorb the cost in your team’s calendar.
What Realm Delivers
Detect every failure. Block it before the user sees it. Hand security the receipt.
Score 100% of production traffic in real time.
Prism observes every model call, every tool invocation, every agent step. Hallucination, drift, refusal failure, deception, prompt injection, jailbreak attempts, policy violations. Inline-fast. Nothing sampled. Nothing missed.
Outcome: You stop hearing about failures from the customer. You see them as they happen, in your dashboard, with the trace.
Intervene before the user sees the output.
OmniGuard sits inline. The moment Prism flags a failure, OmniGuard blocks, redacts, or rewrites the response before it ships. Identity-bound. Policy-driven. Auditable. Built on Deep Neural Inspection so the enforcement layer reads the model’s reasoning, not just the strings.
Outcome: The failure stops being a customer-facing event. It becomes a row in your incident log.
Hand security the trace they can actually act on.
Every flagged event comes with a token-level interpretability trace: which concepts activated inside the model, what the deviation was from normal operation, why the system intervened. Your security partner gets a forensic artifact in minutes instead of a postmortem in weeks.
Outcome: The four-week security review becomes a two-day sign-off. Your roadmap stops bleeding to compliance.
Prism
Runtime observability and interpretability. Token-level explainability. Operational telemetry. The MRI, not the metal detector.
OmniGuard
Inline detection and response. Allow / deny / redact / rewrite at runtime. Policy authoring, identity binding, full audit trail.
AGENTRealm
Runtime layer for agentic workflows. Trace every tool call, every memory write, every external action. Intervene before the agent commits.