CORE CAPABILITIES
Secure, explainable AI for real
SOC investigations
Designed to protect sensitive data, preserve analyst oversight, and automate repetitive investigations across alert, entity, and context layers.
Secure by Design
Privacy-preserving AI analysis
Data obfuscation before LLM processing
On-prem or cloud deployment
Built for SOC Reality
Deep telemetry analysis across alerts, logs, packets, endpoint, and UEBA data
Entity correlation across data sources
24/7 continuous investigation
Explainable by Design
Explainable scoring with confidence levels
Analyst-in-the-loop validation
Repeatable, auditable workflows
Operational Impact
Risk-based prioritization using asset criticality
Automated incident enrichment and scoping
Exportable incident reporting with MITRE and VERIS context
Faster investigations, lower analyst workload, stronger data control, and more consistent incident decisions.
KEY FEATURES
From advanced SOC to autonomous SOC
External Threat Intel integration (VirusTotal, AbuseIPDB)
Centralized UI
Data obfuscation before LLM analysis
Alert flood handling
Entity mapping – across data sets
ESA rule context processing
Context-based investigation
Automated report generation
Asset criticality handling
Contextual analysis – based on prebuilt queries
MEASURABLE IMPACT WITH PULZARIS
After 3000 investigated incidents
TRADITIONAL SOC
AGENTIC AI-ASSISTED SOC
Incident wait time
20-45 min
0 min
Incident wait time
15 min (2.5 min - 2 hour)
1.5 min
Fals Positives handling
70%
70% + of all cleared
Incident backlog
Exists for every customer
NONE
Service time
5 x 8
7 x 24
Report creation time
20-30 min
0 min
Faster decisions. Less noise. More impact.
Empowering analysts to focus on what truly matters.