12 Deep Technical Features. Pure NVIDIA.
Every capability GPU-native end-to-end: TensorRT inference, NeMo agents, RAPIDS analytics, Morpheus pipelines, cuGraph traversal, and Omniverse simulation. Built for NVIDIA Inception acceptance and enterprise deployment.
Full-Fidelity Processing
100% telemetry processed at line rate. CUDA kernels at 2M events/sec, zero sampling. Every packet, flow, log, and identity event analyzed on NVIDIA A100/H100 clusters.
Sub-Millisecond Detection
TensorRT INT8 NetSecBERT inference <0.4ms per event on A100. Multi-model pipeline with dynamic batching achieves 80%+ GPU utilization across all threat categories.
Encrypted Traffic Analysis
Detect C2 inside TLS without decryption. Statistical metadata — packet CDFs, flow entropy, inter-arrival time — analyzed via RAPIDS cuML. No private keys required.
Agentic Autonomous Response
Six NeMo NIM agents with pre-approved playbooks execute containment in <1 second. Isolate hosts, revoke credentials, block IPs — fully auditable, reversible, and compliant.
Attack Chain Reconstruction
Heterogeneous Attention Network (HAN) GNN across 5 entity types. cuGraph BFS traversal in 200-500ms reconstructs full kill chains from initial access to exfiltration.
Behavioral Baselines
Per-customer LoRA adapters fine-tune detection models on NeMo. 2-4 hours on A100, 20-50 MB per customer. Models learn normal for every user, service, and device.
Threat Intelligence Fusion with NeMo Retriever
MITRE ATT&CK techniques, CISA KEV catalog, and FS-ISAC advisories ingested into NeMo Retriever RAG pipelines running on NVIDIA NIMs. Every detection is automatically enriched with TTPs, CVEs, IOCs, and campaign context in real time — no manual correlation, no delayed threat feeds.
Vector embeddings for 200k+ threat reports stored in GPU-accelerated FAISS indexes. Sub-50ms similarity search retrieves relevant intelligence for every alert. Agents cite ATT&CK sub-techniques and provide remediation playbooks aligned with NIST CSF controls.
- —NeMo Retriever RAG: MITRE ATT&CK + CISA KEV + FS-ISAC feeds
- —FAISS GPU vector search <50ms across 200k threat reports
- —Automatic ATT&CK sub-technique tagging per detection
- —NIST CSF-aligned remediation playbooks generated by NIM agents
Predictive Lateral Movement with HAN GNN
Heterogeneous Attention Network (HAN) graph neural networks model relationships across users, devices, services, credentials, and network segments. Trained on historical attack paths, the GNN predicts likely next hops with >80% probability 15 minutes before attackers move laterally.
cuGraph BFS traversal in 200-500ms reconstructs full kill chains from initial compromise to privilege escalation to exfiltration. Pre-emptive containment actions trigger automatically when predicted lateral movement exceeds 85% confidence threshold.
import { Quellra } from "@quellra/sdk"; const client = new Quellra({ apiKey: process.env.QUELLRA_API_KEY }); // Launch autonomous investigationconst investigation = await client.agents.investigate({ alertId: "alert_9x2kf", depth: "full", // full kill-chain analysis timeWindow: "24h", // look-back window correlate: ["network", "endpoint", "identity"],}); // Poll or stream resultsinvestigation.on("finding", (finding) => { console.log(finding.technique); // "T1059.001" console.log(finding.confidence); // 0.97 console.log(finding.evidence); // correlated artifacts}); // Get final reportconst report = await investigation.getReport();console.log(report.summary);console.log(report.killChain);console.log(report.recommendations);SOC Analyst Copilot with NeMo NL-to-Query
NeMo-powered copilot translates natural language to optimized RAPIDS cuDF/cuGraph queries. "Show me all lateral movement from compromised host 10.0.4.82 in the last 7 days" → GPU query returns results in <2 seconds.
Analysts work in natural language, not SQL or Splunk DSL. Copilot suggests follow-up queries based on findings, generates visualizations with cuGraph, and drafts incident reports with MITRE ATT&CK mappings.
Advanced Capabilities
Deep technology that powers every detection and investigation.
Feature 10: OT Protocol Detection on Jetson DLA
Modbus, DNP3, OPC-UA, Profinet deep packet inspection on NVIDIA Jetson DLA. Sub-5ms inference at the edge in air-gapped OT environments. No cloud connectivity required.
Feature 11: Synthetic Data Pipeline
NeMo MITRE ATT&CK scenario generator bootstraps detection models for cold-start customers. Generates realistic attack telemetry across 188 ATT&CK techniques on DGX.
Feature 12: Multi-Model Serving
Triton Inference Server dynamic batching serves 8 threat models simultaneously with 80%+ GPU utilization. Automatic fallback, A/B testing, and canary deployments.
NVIDIA Tech Stack
End-to-end NVIDIA: DGX H100 training, A100 inference, TensorRT INT8, NeMo/NIM agents, RAPIDS cuDF/cuGraph, Morpheus pipelines, Jetson edge, Omniverse OT twins.
Built for NVIDIA DGX, A100, H100, and Jetson
Every Quellra product is architected for NVIDIA GPU acceleration from day one. No CPU fallback paths, no hybrid architectures. Pure GPU pipelines deliver 100x throughput improvements over legacy security tools running on x86 clusters.
DGX H100 Clusters
Training adversarial models, NeMo fine-tuning, synthetic data generation. Phantex red team orchestration.
A100 80GB Inference
Core detection, Vexid identity, Vendex SCA. TensorRT <0.4ms inference at 2M events/sec per node.
Jetson Orin Edge
Air-gapped OT deployments. DLA inference <5ms for Modbus/DNP3/OPC-UA. Simara digital twin edge nodes.
RTX 6000 Workstations
Huntix GPU Jupyter notebooks, Simara Omniverse simulation, SOC analyst copilot development environments.
End-to-End NVIDIA Acceleration
Every layer of the Quellra platform leverages NVIDIA GPU technology. From data ingestion (Morpheus) through inference (TensorRT) to agent orchestration (NeMo/NIM) and analytics (RAPIDS), we are GPU-native by design.
Built for Production
Protocols analyzed natively
Threat intelligence feeds
Average containment time
Median false positive rate
Enterprise-Grade Security at Every Layer
NVIDIA AI Enterprise provides FIPS 140-2 validated containers. Customer data never leaves your environment.
Customer Data Isolation
All telemetry processed in dedicated VPC. Only anonymized 128-dimensional embeddings leave customer environment.
Air-Gap Capable
Jetson Orin runs full inference pipeline with zero cloud dependency. GPIO relay operates independently of IP network.
Auditable Agent Actions
Every containment action logged with timestamps, confidence scores, and reversibility flags. Full forensic trail.
See12FeaturesinProduction
Schedule a technical deep-dive with our engineering team. Watch TensorRT inference, NeMo agents, and RAPIDS analytics running on live telemetry.