Threat Hunting

Introduction

Threat Hunting is a security tool that detects and prevents data exfiltration (unauthorized removal of sensitive data from a computer or network) before damage occurs, helping security teams identify unusual user behavior that may indicate insider threats or ransomware attacks. Using artificial intelligence and machine learning algorithms, the system analyzes patterns to detect potential security issues, extending cyberstorage protection beyond infrastructure resiliency by adding behavioral analysis capabilities.

Key Benefits of Threat Hunting

• Strategic Awareness - Detects anomalous behavior and suspicious access patterns, enabling earlier detection and faster response to potential threats
• Integration with Security Tools - Seamlessly interfaces with your current security infrastructure, streamlining investigations and facilitating faster incident response
• Confidence Scoring - Uses intelligent scoring to reduce false positives by providing context that helps security teams prioritize and address actual threats
• Detection of Data Exfiltration - Identifies behaviors that might indicate impending data theft, moving your posture "left of boom" (taking preventive action before an attack can cause damage) to prevent incidents
• Easy-to-Use Interface - Offers an intuitive dashboard where users can examine detected anomalies and take action without needing technical expertise
• Security Team Alignment - Designed for security professionals with workflows that address their specific requirements and operational needs

This guide will take you through the process of setting up and configuring the threat hunting module for your Eyeglass environment.

Before You Begin

Prerequisites

• ECA and Eyeglass system

  ECA Setup

  Working ECA and Eyeglass with configured nodes. See ECA VM Guide for setup help.

• ML Module server

  ML Server Specs

  Server with 4 CPU cores, 16GB RAM, 100GB storage. See VM Guide.

Required Configuration Details

Before starting the installation, gather these essential connection and authentication parameters:

Required Information	Description	How to Obtain
ML module IP address and port	Connection details for ML server	Run kubectl -n haproxy-controller get services
ECA node IP addresses	All ECA server IPs	See ECA management guide - run ecactl cluster exec hostname -I to list all node IPs
Eyeglass server IP	Eyeglass management server address	Check your Eyeglass deployment documentation or run hostname -I on the Eyeglass VM
Eyeglass token	Authentication token for API access	Generate through Eyeglass Integrations section
Eyeglass public key	RSA public key for secure communication	Run cat /opt/superna/eca/data/common/.secure/rsa/isilon.pub on any ECA node
Kafka connection info	Streaming data service details	Run ecactl cluster exec hostname on ECA master to get Kafka node hostnames

Installation and Configuration

Configure ML Module

Configure the machine learning environment and set up threat detection parameters to optimize for your security needs.

Configure Now

Connect ML Module Components to ECA

Install and configure ML Module components to connect with your ECA environment, enabling data flow for threat detection.

Get Started