Real-time LLM input validation and hallucination defense systems.
Prevent prompt injections, semantic jailbreaks, and factual drift. We build high-throughput validation gateways that intercept model inputs and audit model outputs prior to client delivery.
Real-Time Validation Infrastructures
We deploy custom verification gateways that check semantic boundaries, protect private customer inputs, and audit outputs.
Input Injection Defense
Proactively scan incoming user messages for prompt overrides, jailbreaks, and system instructions violations before they hit the model backend, keeping logic aligned.
Hallucination Mitigation
Compare output statements in real-time against enterprise vector databases and internal knowledge graphs to verify grounding details prior to API completion.
PII Redaction Filter
Detect and redact credit cards, Social Security numbers, internal API tokens, and private identifiers automatically from incoming prompts and outgoing strings.
Deterministic Output Schemas
Format unstructured model completions into valid JSON or XML schemas, running automatic schema parsing validations and query retries.
Guardrail Verification Pipeline
How we isolate model operations from malicious queries and factual errors across four structural layers.
Jailbreak Detection & Filtering
Analyzing user inputs for system instructions hacks, blocking threat vectors, and rejecting malformed payloads before execution.
PII & Key Extraction Audits
Validating data structures to scrub private information, credentials, and configuration variables before forwarding requests.
Fact Grounding & Similarity Ratios
Verifying fact declarations against primary reference chunks using semantic embeddings and similarity metrics.
Output Schema Validation
Enforcing strict JSON syntax formats, repairing missing fields, and requesting schema retries when necessary.
Core Technology Stack
We build safety proxies, classification systems, and high-performance validator runtimes.
Guardrail Frameworks
NeMo Guardrails integrations, Llama Guard classifications, custom regex pipelines.
Classification Models
DeBERTa validation classifiers, specialized embedding routers, local NLP tokenizers.
Proxy Gateways
High-throughput Go security proxies, Python FastAPI routing engines, latency optimizations.
Grounding Datastores
Qdrant vector stores, Milvus, Elasticsearch semantic grounding stores.
Grounding Verification and Factual Trust
Deploying non-deterministic model architectures to target production environments introduces factual drift hazards. Without intermediary validation passes, models can generate believable hallucinated claims that confuse clients and breach business agreements.
Our research focuses on placing factual verification gates between models and endpoints. By matching model responses against approved documentation references using semantic grounding systems, we ensure every output is backed by valid sources.
This approach mitigates conversational drift, protects data safety protocols, and prevents system errors without increasing model completion latencies.
Guardrail Metrics & Benchmarks
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Zero-Trust Injection Defenses
Block over 99.5% of prompt overrides and system instruction attacks.
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Fact Verification Ratios
Assess fact claims against source data chunks using semantic similarity ratios.
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Ultra-low Evaluation Overhead
Optimize latency to process security checks in less than 15 milliseconds.
Guardrail Deployment & Hardening Lifecycle
From policy definition to active inline guardrail proxy deployment in 30 days.
Guardrail Policy Mapping
Define acceptable output rules, identify PII entity types, set hallucination thresholds, and map escalation flows.
NeMo & LlamaGuard Setup
Configure NeMo guardrail rails, integrate LlamaGuard 3 classifiers, and build PII redaction layers.
Fuzzing & Stress Testing
Subject guardrail proxies to 10,000+ adversarial prompt injection payloads and measure latency overhead.
Active Proxy Launch
Deploy inline guardrail proxy in front of production LLM APIs with real-time audit tracing.