Six GPU-Native Products. One Security Ecosystem.
A unified platform powered by NVIDIA DGX, TensorRT, NeMo, Morpheus, RAPIDS, and Omniverse. Every product shares a single telemetry lake, one CISO buyer, and continuous feedback loops that make the entire ecosystem smarter with every deployment.
The GPU-Native Security Ecosystem
Five specialized products sharing a single telemetry lake, Morpheus pipeline, and NeMo/NIM serving layer. Every detection enriches all products. One CISO buyer.
Adversarial AI Red Teams
Phantex
Infinite attack simulations on DGX H100. NeMo agents run MITRE ATT&CK campaigns, feeding bypasses back into Core detection models.
DGX H100 / NeMo / Morpheus
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Identity Threat Detection
Vexid
Sub-millisecond credential attack detection. Per-identity behavioral models via NeMo fine-tuning. RAPIDS anomaly scoring.
TensorRT / NeMo / RAPIDS
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Supply Chain Security
Vendex
CUDA execution graph analysis across millions of packages. cuGraph dependency resolution. Code provenance and SBOM generation.
CUDA / cuGraph / TensorRT
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GPU-Native Threat Hunting
Huntix
50-500 TB queries in minutes. Natural language to RAPIDS code via NeMo. Hypothesis-driven investigations at GPU speed.
RAPIDS cuDF / cuGraph / NeMo
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OT Digital Twin Simulation
Simara
Physics-accurate attack consequence modeling on NVIDIA Omniverse. Cosmos world models predict cascading failures before real containment.
Omniverse / Cosmos / Jetson / RTX 6000
Explore →Real-Time Detection & Autonomous Response
The foundation of the Quellra ecosystem. Processes 2M events/sec through NVIDIA Morpheus pipelines with TensorRT INT8 NetSecBERT inference at <0.4ms on A100. Six NeMo NIM agents autonomously investigate, correlate, and execute pre-approved containment playbooks without human intervention.
- —Full-fidelity processing — 100% telemetry, zero sampling
- —HAN GNN attack chain reconstruction in 200-500ms
- —Per-customer LoRA adapters: 2-4 hrs A100, 20-50 MB
- —Triton dynamic batching: 80%+ GPU utilization
Infinite Red Teams on DGX H100
GPU-native adversarial AI that continuously generates, executes, and learns from attack simulations. NeMo agents orchestrate MITRE ATT&CK scenarios across your environment, feeding detection improvements back to Core in a Morpheus feedback loop.
Continuous Attack Simulation
DGX H100 clusters generate 1000+ attack scenarios daily from MITRE ATT&CK, dark web TTPs, and zero-day variants.
NeMo Agent Orchestration
Multi-agent systems plan, execute, and adapt campaigns — lateral movement, credential theft, exfiltration — against live shadows.
Detection Feedback Loop
Every Phantex bypass automatically triggers Core model retraining. Missed threats become training data within 24 hours.
GPU-Native Identity Defense
Protects the most critical attack surface: identity. TensorRT inference <1ms detects credential stuffing, session hijacking, and privilege escalation in real time. NeMo per-identity fine-tuning learns normal behavior per user, service account, and API key. RAPIDS cuML anomaly scoring across authentication events, token issuance, and permission changes.
- —TensorRT <1ms per auth event on A100
- —NeMo per-identity behavioral models — 50k identities/cluster
- —RAPIDS anomaly scoring: impossible travel, time-of-day violations
- —Integration: Okta, Azure AD, AWS IAM, LDAP, SAML, OAuth 2.0
Threats Blocked
12,847
Active Agents
24
Avg Response
0.3s
Coverage
99.9%
Threats Blocked
12,847
Active Agents
24
Avg Response
0.3s
Coverage
99.9%
Supply Chain Security on CUDA
Stops threats before they enter production. CUDA execution graph analysis traces dependencies across millions of packages in seconds. cuGraph builds transitive dependency trees across npm, PyPI, Maven, Docker registries. TensorRT SCA models detect malicious packages, typosquatting, and backdoors. Code provenance verification ensures every artifact matches signed build manifests.
- —CUDA execution graph: 10M packages analyzed in <30 seconds
- —cuGraph transitive dependency resolution — 50-hop trees
- —TensorRT malicious package detection: 97.3% recall, 0.1% FPR
- —SBOM generation, SLSA L3 provenance, Sigstore integration
Petabyte-Scale Hunting in Minutes
Turn analysts into hunters with GPU-accelerated telemetry queries. RAPIDS cuDF and cuGraph process 50-500 TB in minutes vs hours on CPU. NeMo NL-to-query translates plain English to optimized RAPIDS code: "Find all processes that loaded LSASS in the last 30 days" → 4 minutes on GPU vs 5 hours on Spark.
- —RAPIDS cuDF/cuGraph: 50-500 TB queries in 2-10 minutes
- —NeMo natural language to RAPIDS code generation
- —Pre-built hunt packs: APT29, Cobalt Strike, ransomware TTPs
- —GPU Jupyter notebooks with live telemetry federation
Threats Blocked
12,847
Active Agents
24
Avg Response
0.3s
Coverage
99.9%
OT Digital Twin on Omniverse
Simulate attack consequences on physical equipment before deploying containment to live OT. Built on NVIDIA Omniverse with Cosmos world foundation models, Simara creates physics-accurate digital twins of SCADA systems, PLCs, and ICS. Runs on Jetson for edge inference and RTX 6000 workstations for large-scale sims.
- —Omniverse digital twin: physics-accurate equipment models
- —Cosmos foundation models predict cascading failures
- —Jetson Orin DLA inference <5ms at the edge
- —Protocols: Modbus, DNP3, OPC-UA, Profinet, IEC 61850
Defense-in-Depth Ecosystem
Every product reinforces the others in a continuous feedback loop.
Pre-Entry
Vendex
Catches malicious dependencies before they enter CI/CD
Identity Layer
Vexid
Detects credential theft and privilege escalation in <1ms
Detection & Response
Core
Real-time detection + autonomous containment at 2M events/sec
Continuous Testing
Phantex
Red teams find bypasses, feed detection improvements back to Core
Retrospective Hunting
Huntix
GPU-powered queries find threats missed by real-time detection
Physical Consequence Modeling
Simara
Simulates attack impact on OT equipment before containment
One Telemetry Lake. Six Products.
All six products share a single telemetry lake built on NVIDIA RAPIDS cuDF, a unified Morpheus processing pipeline, and NeMo/NIM serving infrastructure. One CISO buyer. One data contract. Continuous feedback loops make every product smarter as the ecosystem learns from deployments across customers.
RAPIDS cuDF
Unified data fabric
Morpheus
Shared pipeline engine
NeMo / NIM
Agent serving layer
Triton
Multi-model inference
cuGraph
Attack chain analysis
Omniverse
OT digital twin
Integrate in Minutes
The Quellra SDK gives you programmatic access to every product capability. Subscribe to real-time detection streams, dispatch investigation agents, query reports, and manage policies — all from a single typed client.
import { Quellra } from "@quellra/sdk"; const client = new Quellra({ apiKey: process.env.QUELLRA_API_KEY, region: "us-east-1",}); // Stream real-time detectionsconst stream = client.stream.subscribe({ severity: ["critical", "high"], protocols: ["modbus", "dnp3", "tcp"],}); stream.on("detection", async (event) => { console.log(event.threatId, event.confidence); // Dispatch autonomous agent await client.agents.investigate(event.threatId);}); // Query investigation resultsconst report = await client.agents.getReport("inv_8f2k3");console.log(report.killChain, report.recommendations);Performance at Scale
Events processed per second
Average inference latency
Detection accuracy
Mean time to investigate
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.
Powered by the full NVIDIA AI stack
SeetheEcosysteminAction
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