Turn 6-Hour Hunts Into 4-Minute Discoveries
Huntix runs RAPIDS cuDF and cuGraph on DGX A100/H100 clusters to scan 50–500 TB of historical telemetry in minutes. Ask questions in plain English, get attack graphs in seconds, and test 20+ hypotheses per day instead of 1–2.
Speedup over CPU-based SIEM queries
Historical telemetry scanned in 4 minutes
Hypotheses tested per hunter per day
Cost reduction vs 200-node Spark cluster
Hunt at the Speed of Thought
CPU-based SIEMs like Splunk and Elastic require 4–8 hours for the same queries Huntix completes in minutes. That gap isn't incremental — it changes what threat hunting can actually accomplish.
Natural Language Threat Hunting
Ask questions in plain English. A NeMo LLM, fine-tuned on 10,000+ validated security hunt queries and the MITRE ATT&CK schema, translates your question into an optimized RAPIDS cuDF operation in 50ms.
GPU-Accelerated Analytics Engine
RAPIDS cuDF processes 50–500 TB telemetry DataFrames on DGX A100/H100 clusters at 75x the speed of Spark. A 100 TB scan costs $1.67 on 8x A100 versus $1,080 on a 200-node Spark cluster.
Attack Graph Visualization
cuGraph builds 90-day event graphs with 10M+ nodes — processes, files, network connections — and traverses lateral movement paths to domain admin in 8 seconds versus 4 minutes on Neo4j CPU.
Pre-Built Hunt Packs
500+ curated hypotheses for APT29, Cobalt Strike, ransomware TTPs, and insider threats — each containing 10–30 GPU-optimized queries validated against MITRE ATT&CK. Auto-updated from Quellra threat intelligence.
GPU Jupyter Notebooks
Full Python and RAPIDS environment for custom hypothesis development. Pre-loaded with cuDF, cuGraph, and cuML libraries, security datasets, and live telemetry federation. Share and version-control investigations.
Detection Engineering Loop
Validated hunt findings auto-convert to Quellra Core real-time detection rules. Every investigation improves live coverage — close the loop from historical discovery to active prevention without writing rules by hand.
Ask. Scan. Graph. Done.
The NeMo query translator converts a natural language question into an optimized cuDF pipeline in 47ms. cuDF then scans 127 TB of historical telemetry across all data sources in under 4 minutes. cuGraph builds the lateral movement attack graph and identifies paths to domain admin in under 10 seconds.
- –EDR, network, cloud, and identity telemetry unified in one lake
- –90-day hot tier on GPU-attached NVMe for instant access
- –Query results auto-saved as reusable hunt templates
- –REST API for programmatic hunts from SOAR and SIEM
GPU-Native at Every Layer
cuDF
Petabyte-scale GPU DataFrame operations on historical telemetry
cuGraph
90-day attack event graphs with 10M+ nodes, 8-second traversal
NeMo Framework
NL-to-RAPIDS translation, fine-tuned on 10,000+ hunt queries
CUDA Toolkit
Foundation GPU compute for all analytics and model inference
Historical Hunting Sharpens Real-Time Detection
Huntix operates on the same unified telemetry lake as Quellra Core. When hunters discover a new attack pattern in historical data, they validate it with Phantex red team simulation and convert it directly into a Core real-time detection rule. Hunters pivot seamlessly from a live Core alert into Huntix historical context — no data export, no separate query tool.
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
FindWhatReal-TimeDetectionMissed
Huntix scans 100 TB of historical telemetry in under 4 minutes. Your first hunt costs $1.67. What does your SIEM charge for 6 hours?