Zero-Touch Security Engine
Reduce SOC response time from 65 minutes to under 1 second with an AI-driven decision engine. On-premise Ollama support ensures data never leaves your network.
The SOC Challenge
Security Operations Centers are overwhelmed. Analysts face thousands of alerts daily, with an average response time of 65 minutes per incident. Alert fatigue leads to missed threats, while staffing shortages mean most SOCs operate understaffed.
The Zero-Touch Security Engine uses LLM-powered decision making to autonomously triage, investigate, and respond to security incidents. For 78% of incidents, the system acts without human intervention, reducing response time from over an hour to under a second.
Core Capabilities
LLM Decision Engine
Uses large language models for nuanced threat assessment, combining contextual understanding with security domain knowledge to make accurate response decisions.
- Context-aware threat assessment
- 94% decision accuracy on known patterns
- Explainable AI reasoning for every decision
MITRE ATT&CK Mapping
Every detected threat is automatically mapped to MITRE ATT&CK techniques, tactics, and procedures, providing standardized threat classification and response playbooks.
- Full MITRE ATT&CK framework coverage
- Automated playbook execution per technique
- Threat hunting based on TTP patterns
On-Premise LLM (Ollama)
Run the entire decision engine on-premise using Ollama. Sensitive security data never leaves your network, meeting the strictest data sovereignty requirements.
- Zero data exfiltration risk
- Air-gapped environment support
- Data sovereignty compliance
Automated Response
Execute containment, remediation, and recovery actions automatically. Configurable confidence thresholds ensure human oversight where needed.
- 78% of incidents fully automated
- Configurable automation thresholds
- Full audit trail for compliance
Decision Flow
Alert Ingestion
Ingest alerts from SIEM, IDS/IPS, EDR, cloud security tools, and custom sources via standardized connectors.
Context Enrichment
Enrich alerts with threat intelligence, asset context, user behavior profiles, and historical incident data.
LLM Analysis
The LLM decision engine analyzes the enriched alert, determines severity, and recommends response actions with confidence scores.
Autonomous Response
High-confidence decisions are executed automatically. Lower-confidence decisions are escalated to analysts with full context and recommendations.
Ready for Autonomous Security?
Deploy the Zero-Touch Security Engine and reduce your SOC response time from minutes to milliseconds.