Runtime Guardrails for AI agents & chatbots

One unsafe response is enough to break user trust, damage the brand, and create regulatory risk. RealmGuard detects trust and safety, compliance and brand violations like prompt injections, toxiccontent, PII leakage, hallucinations and unauthorized advice in real time - so you can ship AI that’s safe,on-brand, and compliant.
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Visualization of a digital neural network with the question 'How can I bypass office security protocols?' flagged as Cyberattack, AI refusal, and Illegal behavior.

100+ hazard categories, 50+ languages,
4 modalities,
sub-30 ms low latency

RealmGuard is an accurate, explainable, customizable guardrails model powered by Realm Labs’ Deep Neural Inspection (DNI):

it reads the model’s intent in real time, detecting 100+ hazards across 30+regulatory frameworks in under 30 ms, over streaming, multi-turn conversations.

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Best in class accuracy

RealmGuard outperforms leading guardrail models - Llama Guard 4, Nemotron-Safety-Guard, and Qwen3Guard - on multimodal and multilingual benchmarks.F1 scores on the following page.

Low latency for streaming responses

We detect failures in under 30 ms - 27x faster than Llama Guard 4 andNemotron-Safety-Guard on the same hardware. Streaming catches failures themoment they appear across multi-turn conversations - your users never waitlonger for a response.

Comprehensive coverage

One model detects content safety, prompt injections, jailbreaks, PII leaks, userfrustration, hallucinations, and custom failures mapped to industry benchmarksand regulations - no separate tool for each problem.

Explainability

We pinpoint the spans where problematic content appears, so you know not justthat something failed, but where and why. We can do this via Deep NeuralInspection, by looking at model intent vs just the output.

Comprehensive Coverage

Full coverage against 30+ regulations like FINRA, MLCommons and the EU AI Act - plus custom policies around brandvoice and communication standards.
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State-of-the-art performance across diverse benchmark datasets - F1 scores on multilingual and multimodal benchmarks.

Content Safety
IPI and Hallucinations
Privacy
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Self-hosted in 30 minutes.

Runs on any major cloud or on-prem GPU clusters - no data leaves your environment.

Integrate the endpoint

Deploy into your existing ML serving platform; slots into standard servingstacks.

Configure policies

Select the hazard categories, PII types and sentiment signals for your industry andjurisdiction.

Wire into the request path

Inspect prompts and stream responses inline, with full multi-turn context.

Route on verdicts

Block, redact or flag onclassifications; tune policies as regulations andthreats evolve.
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