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Incidents Correlation

Simplify Threat Detection with SoldierX AI SIEM

In cybersecurity, detecting threats often requires connecting seemingly unrelated events. SoldierX AI SIEM’s Incidents Correlation feature simplifies this process by analyzing logs and events through three core methods: IP-based, timeline-based and rule-based correlation. By linking incidents across these dimensions, SoldierX AI SIEM empowers your team to uncover hidden threats, prioritize responses, and mitigate risks effectively.

Core Advantages

Key Benefits

IP-Based Correlation

Link incidents involving the same IP address to identify malicious activity.

Timeline-Based Correlation

Visualize the sequence of events over time to understand attack progression.

Rule-Based Correlation

Apply predefined or custom rules to detect known attack patterns.

Actionable Insights

Receive enriched alerts with detailed context for faster decision-making.

Proactive Threat Detection

Identify threats early by correlating events across multiple dimensions.

Process Overview

How It Works

Step 01

1. IP-Based Correlation

When multiple incidents involve the same IP address, SoldierX AI SIEM correlates them to reveal malicious activity. For example:

Incident 1: Suspicious login attempt from IP X.
Incident 2: Outbound traffic spike originating from IP X.

This helps trace the source of attacks and block malicious actors at the firewall level.

Step 02

2. Timeline-Based Correlation

SoldierX AI SIEM visualizes the sequence of events over time, helping your team understand how an attack unfolds. For example:

Day 1: Initial brute-force attack detected.
Day 2: Privilege escalation observed.
Day 3: Data exfiltration attempt blocked.

This timeline view provides critical context for prioritizing responses.

Step 03

3. Rule-Based Correlation

Predefined and customizable correlation rules analyze events for known attack patterns. For example:

Rule: Detect brute-force attacks based on multiple failed login attempts.
Rule: Identify DDoS attacks based on traffic spikes from high-risk geolocations.

These rules help surface incidents that may otherwise go unnoticed.

Step 04

4. Enriched Alerts

Each correlated incident is enriched with detailed context, including:

Source & Dest IPs
User/Asset Identifiers
Severity scoring based on predefined thresholds

This ensures your security team has all the information needed to triage and remediate incidents effectively.

Use Cases

Correlate multiple dimensions of data to detect complex threats.

Trace Malicious IPs

Use IP-based correlation to link incidents involving the same suspicious IP and block malicious actors at the firewall level.

Reconstruct Attack Timelines

Leverage timeline-based correlation to visualize the progression of an attack, from initial access to data exfiltration.

Detect Known Attack Patterns

Apply rule-based correlation to identify common attack patterns like brute-force attempts, privilege escalations, or DDoS attacks.

Proactive Threat Hunting

Search through correlated incidents to uncover hidden threats or hidden indicators of compromise (IOCs) before they escalate.

Why Choose
SoldierX AI SIEM
for Incidents Correlation?

Empower your team to uncover hidden threats, prioritize responses, and mitigate risks effectively. AI anomaly detection complements rule-based correlation by flagging unusual behavior.

IP-Based Analysis

Link incidents involving suspicious IPs to uncover malicious activity.

Timeline Visualization

Understand the progression of an attack with a clear timeline of events.

Rule-Based Detection

Apply rules to identify known attack patterns.

Actionable Insights

Enrich incidents with detailed context for faster decision-making.

Proactive Threat Detection

Identify threats early by correlating events across multiple dimensions.

Beyond Rules

AI anomaly detection flags unusual behavior that predefined correlation rules do not cover.

Ready to Uncover Hidden Threats?

Connect the dots and identify advanced attacks before they compromise your infrastructure.

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