Threat Correlation

Security teams need connected threat context, not disconnected alerts

Alerts often arrive from multiple systems without showing whether they are isolated events or part of the same incident.

Sampark designs AI-assisted threat correlation workflows that connect events across users, devices, traffic, assets, applications and time.

The delivery focus is on signal clarity, alert grouping, incident context and faster analyst review.

Threat correlation that turns alert noise into investigation context

Sampark helps enterprises use AI to group related alerts, connect security evidence and support faster analyst decisions with clearer incident context.

Reduced Alert Fatigue

Group related alerts and reduce repeated manual review of disconnected security events.

Clearer Incident Context

Show how users, assets, sessions and threat signals are related within a possible incident.

Faster Analyst Review

Give analysts grouped evidence, timelines and priority indicators instead of raw alert queues.

Better Risk Prioritization

Rank correlated incidents using severity, asset importance, confidence and business impact.

Improved Detection Quality

Use analyst feedback and incident outcomes to improve correlation logic over time.

Security Reporting Visibility

Track recurring patterns, high-risk assets, noisy sources and investigation improvement areas.

Clinical and Operational AI

Healthcare Intelligence & Automation

AI agents, NLP, and workflow intelligence for patient support, healthcare records, and hospital operations.

Clinical AI Stack

Patient Engagement AI Conversational support for patient journeys Clinical Workflow Support AI-assisted coordination across care teams Healthcare Document AI NLP extraction from records and reports Appointment & Query Automation AI agents for front-desk interactions Medical Knowledge Search RAG search across approved healthcare content Hospital Operations Insights AI detects delays, gaps, and service patterns

AI for Plants and Assets

AI for Plants, Assets & Operations

Machine learning, IoT signals, and agentic monitoring for manufacturing, maintenance, energy, and shopfloor intelligence.

Plant AI Layer

IIoT & IoT Integration AI-ready signals from machines and sensors Predictive Maintenance ML models predict early failure signals MES Intelligence AI visibility into production bottlenecks Shopfloor Monitoring Machine and operator activity intelligence Energy & Asset Insights AI detects abnormal usage and drift Plant Command View AI-assisted operational decision layer

Computer Vision AI

Computer Vision for Real-World Events

Vision AI for workplace safety, surveillance intelligence, restricted zones, movement analysis, and visual evidence workflows.

Vision AI Layer

Intelligent Video Surveillance AI detection over live camera streams Safety Violation Detection Computer vision for PPE and unsafe actions Restricted Area Monitoring AI watches mapped zones and boundaries People & Crowd Analytics Density, movement, and congestion intelligence Vehicle & Gate Intelligence AI-enabled entry and vehicle visibility Event Alerts & Evidence Visual proof for incidents and actions

Workflow and Document AI

Intelligent Workflow & Document Automation

AI agents that classify work, read documents, recommend actions, and move business processes with human control.

Agentic Workflow AI

Workflow Automation AI-guided approvals, tasks, and escalations Intelligent Task Routing AI classifies and assigns business work Document Processing OCR and NLP for document understanding Decision Support Automation AI recommendations for operational decisions Omnichannel Automation AI responses across business channels Exception Management AI detects process delays and SLA risk

Copilots and Knowledge AI

Enterprise Copilots, RAG & Knowledge AI

Enterprise-grade GenAI using approved knowledge, role-aware copilots, document intelligence, and governed AI responses.

RAG & Agents

Enterprise AI Chatbots GenAI support for customers and employees Internal Copilots Role-aware assistants for business teams Knowledge Search / RAG Answers grounded in approved documents Document Summarization LLMs convert long content into insights Business Query Assistant Ask business questions in natural language GenAI Governance Access, audit, and controlled AI behavior

Security Intelligence Layer

AI-Driven Security Operations

AI for threat correlation, anomaly detection, vulnerability prioritization, SOC/NOC assistance, and security response workflows.

AI SecOps

AI Network Security ML detects unusual traffic behavior Threat Correlation AI connects alerts, assets, and users Anomaly Detection Models identify abnormal activity patterns SOC / NOC Intelligence AI support for triage and investigation Vulnerability Intelligence Risk-based AI prioritization of exposure OT / IoT / IIoT Security AI monitoring for connected industrial assets

Forecasting and Decision AI

Forecasting, Risk & Decision Intelligence

Predictive models and GenAI summaries that surface demand signals, risk patterns, operational drift, and decision-ready insights.

Predictive AI

Demand Forecasting ML forecasts volume, demand, and pressure Pattern Discovery AI finds hidden operational trends Risk Prediction Models predict failures and delays Performance Insights AI highlights bottlenecks and gaps Asset Health Insights AI tracks condition and behavior drift Management Decision Views GenAI summaries for leadership action

AI-powered threat correlation for clearer security investigation

Multi-source Alert Linking

Event Relationship Mapping

Noise Reduction

Incident Story Building

Risk-based Prioritization

Analyst Review Support

Want to reduce alert noise and improve incident context?

Security teams need connected threat context, not disconnected alerts

How Sampark structures Threat Correlation

Collect security signals

Connect related events

Score incident risk

Support analyst review

What the correlation layer should produce

Want to assess threat correlation for your SOC?