Train Models
That Stay
Sharp.
Cybersecurity's hardest problem isn't building a model — it's keeping it accurate as attackers change their TTPs and IOCs. We solve concept drift with continuously refreshed labeled data — every sample reviewed by a human security analyst — plus feature APIs and pre-trained models that evolve with the threat landscape.
Live analyst-verified labeling pipeline
Concept drift is
taken care of
for you.
Attackers don't stand still. A phishing campaign that worked last quarter is blocked today — so adversaries retool: new domains, new redirects, new obfuscation. A model trained on last year's data can't catch this year's threats.
Most data providers sell you a static snapshot. We're the first to provide continuously evolving labeled data — every sample passes through a human-in-the-loop review by certified security analysts, refreshed on a cadence that matches how fast attackers move.
Illustrative. Based on URL phishing model performance on evolving threat campaigns.
Four layers.
One infrastructure.
Whether you're training your first ML/DL detection model, running production inference at scale, or post-training an LLM on your own data, every layer draws on the same labeled data and feature pipelines — continuously evolving.
Human-in-the-Loop Labeled Datasets
Phishing URLs, malware PE binaries, malicious browser extensions — reviewed and verified by security analysts, not algorithms. Each sample carries analyst ID, confidence score, and reasoning tags.
- 50M+ labeled samples across 6 dataset types
- Human analyst review on every sample — no auto-labeling
- Custom labeling for your private data (not shared)
- Confidence scores + analyst reasoning attached
Feature Extraction APIs at Scale
Pull WHOIS, passive DNS, certificate, and content features via a single API. The same feature set used to train your models is available at inference time — no feature drift.
- WHOIS, PDNS, cert, content, and lexical features
- Consistent schema for training and inference
- Domain brand intelligence + squatting detection
- Batch extraction for offline training pipelines
Pre-Trained ML/DL Security Models
Classical ML and DL threat-detection models — already trained, ready to deploy, and fine-tunable on your labeled data. From lightweight gradient-boosted URL classifiers to transformer-based JavaScript malware detectors, continually retrained on fresh human-verified labels.
- URL phishing, PE malware, JS threat, exfiltration models
- ML models (fast, cheap) and DL models (high accuracy)
- Host with us or export weights to your infrastructure
- Automatic retraining as new labeled data arrives
LLM Post-Training & Distillation
The LLM counterpart to the Model Garden: we spot-check frontier and small open-source LLMs on your task, distill the best frontier model's knowledge into a small OSS model, then post-train it on your labeled data and features — frontier-level intelligence at a fraction of the compute cost.
- Spot-checks frontier + small OSS models on your task
- Distills the best frontier model into a small OSS model
- Trains on the same labeled data and features you already use
- No eval harness yet? We help you build one
From raw data to
production-ready intelligence.
Access Human-Verified Data
Browse analyst-labeled datasets. Or bring your unlabeled data — our security analysts label it privately through a multi-step human review process.
Extract Features
Call our Feature Store API to pull WHOIS, PDNS, cert, and content features. Same API at training time and inference time.
Deploy or Train ML/DL Models
Use a pre-trained model from our garden, or fine-tune one on your labeled data. Host with us or export the weights.
Post-Train an LLM
Need an LLM instead? Distill a frontier model into a small OSS model and post-train it on the same labeled data and features. Validated against your harness.
Domain Intelligence — now an Annotation API
Our original domain monitoring capability — phishing variants, WHOIS, DNS, certificates, brand squatting detection — is available as part of the Feature Store. Scan any domain and pull structured features directly into your training pipeline.
Build models that adapt.
Start free today.
Free tier includes 1,000 labeled samples per month, 500 annotation API calls, and access to one pre-trained ML model. No credit card required.