HOW IT WORKS
The AI Investigation Layer for Modern SOC Operations
PULZARIS turns fragmented security signals into a structured, AI-powered investigation workflow. It automates triage, enriches incidents with context, maps related entities, applies threat intelligence, and helps analysts move faster from detection to validated action – without losing control.
Built for modern SOC operations, the platform combines AI-driven analysis with contextual enrichment and human validation to reduce noise, accelerate investigations, and deliver transparent, actionable outputs.
THE PULZARIS AI PLATFORM
The workflow is designed around separate alert analysis, contextual enrichment, entity mapping, and business-risk-aware prioritization.
1
Alert/Incident Collection
Each alert is analyzed separately; the incident summary is generated when the alert-grouping window is closed.
Preserves chronological accuracy and keeps grouped incident context reliable.
2
Main Entity Selection
The subject of the alert becomes the focal point for subsequent queries and correlation steps.
Ensures targeted, relevant analysis instead of broad, noisy enrichment.
3
Contextual Queries
Windows logon, file modification, Kerberos, VPN, Azure, EDR, and packet context are queried automatically.
Accelerates evidence gathering and shortens investigation time.
4
Entity Mapping
User, host, and IP entities are mapped across data sets using infrastructure and logon context.
5
External & Internal Enrichment
Threat reputation checks and internal asset metadata enrich the analysis path.
6
Decision & Prioritization
Asset criticality and the number of affected hosts feed the incident priority model.
7
Investigation Output
Generates who/what/when/where/how summary, verdict, response guidance, and related suspicious events.
8
Human-in-the-Loop
Analysts stay in control of validation, escalation, and final operational decisions.
See the platform in action
Book a demo to explore how PULZARIS AI transforms alerts into analyst-ready decisions.