AI Infrastructure for Cybersecurity

Build language models that understand security threats. Deploy reliable threat classification with performance guarantees. Augment your SOC with AI that speaks your language.

Cybersecurity AI

Security-Native Language Models

Pre-train models on your security corpus to build AI that truly understands threats, vulnerabilities, and attack patterns - not generic language models guessing at security concepts.

  • Trained on CVE databases, MITRE ATT&CK framework, and threat intel
  • Understands IOCs, TTPs, and security tool outputs (SIEM, EDR, SOAR)
  • Knows your environment: internal logs, past incidents, and playbooks
  • Contextual understanding of malware families and exploit techniques
Security Training
Threat Classification

True Threat Classification with Performance Guarantees

Our proprietary training technique transforms LLMs into true classifiers with measurable accuracy, confidence scores, and false positive rates - critical for security operations.

  • Alert triage - Classify severity with 95%+ accuracy
  • Threat categorization - Map to MITRE ATT&CK with confidence scores
  • False positive reduction - Measurable FP/FN rates, not promises
  • Incident prioritization - Risk-based routing with explainability

SOC Analyst Copilot

Augment your security analysts with AI that understands your environment, automates investigation steps, and provides contextual recommendations based on your actual data.

  • Query across SIEM, EDR, and threat intel in natural language
  • Auto-generate investigation timelines and incident reports
  • Suggest relevant playbooks based on threat patterns
  • Learn from analyst decisions to improve recommendations
SOC Copilot

Real Metrics for Security Teams

Not marketing promises - actual performance data you can trust for security operations

Measurable Accuracy

Precision-recall curves, confusion matrices, and ROC-AUC scores for every model

Real-Time Performance

Sub-second inference for alert triage, suitable for streaming security events

False Positive Rates

Know your exact FP/FN rates before deployment - no surprises in production

Secure Deployment

Your Data Never Leaves Your Environment

Deploy in your security enclave. Train on your sensitive data. Maintain complete control. We provide the infrastructure - you keep the data.

  • Air-gapped deployment options for classified environments
  • On-premise or in your VPC (AWS, Azure, GCP)
  • Zero data exfiltration - models train and run locally
  • Audit logs you control, RBAC you manage

Built for Security Operations at Scale

Zero Trust Architecture

Designed for high-security environments with strict compliance needs

Continuous Learning

Models improve from analyst feedback and new threat intelligence

Explainable AI

Understand why decisions are made - critical for incident response

API Integration

Works with Splunk, CrowdStrike, Palo Alto, and your existing stack

What Security Teams Achieve

85%

Reduction in false positives

10x

Faster threat investigation

<1min

Alert triage time

24/7

Consistent analysis quality

Common Use Cases

Alert Fatigue Reduction

Classify and prioritize thousands of daily alerts with consistent accuracy, reducing analyst burnout.

Threat Hunting

Query across all your security tools in natural language to identify patterns and anomalies.

Incident Response

Automatically generate timelines, identify affected systems, and suggest containment actions.

Ready to Build AI That Actually Understands Security?

Join leading security teams deploying reliable, explainable AI with real performance guarantees.

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