Audit Log Analyzer

Analyze system and application logs for suspicious patterns using machine learning algorithms.

🧠 Pattern Recognition

Identifies abnormal login patterns, privilege escalations, and other suspicious behaviors.

📦 Multi-Format Support

Parses JSON, JSONL, XML, and plain text logs with intelligent format detection.

📈 Trend Analysis

Generate security scorecards and risk assessments from historical log data.

Example: Parse JSON Logs


const logParser = new AuditAnalyzer();
logParser.loadEvents(logData)
    .then((summary) => {
        console.log('Security Risk Summary:');
        console.log('- Anomalies found:', summary.anomalies);
        console.log('- High risk events:', summary.highRisk.filter(e => e.severity >= 8));
    })
    .catch((error) => {
        console.error('Analysis failed:', error.message);
    });

This example initializes the analyzer with custom risk thresholds and returns structured results.

🔍 Detection Capabilities

🔹 Brute force attack patterns
🔹 Unauthorized API requests
🔹 Privilege escalation attempts
🔹 Data exfiltration indicators
🔹 Unusual system modification patterns

⚙️ System Requirements

✅ Node.js 16+
✅ 2+ GB RAM (4+ GB recommended)
✅ Modern browser support
✅ 100+ MB available disk space
✅ Internet connection for ML models

Quick Setup

Clone the audit module from our GitHub repository:

npm install @securitybp/audit-analyzer

Initialize the analyzer with default risk thresholds:

import Analyzer from '@securitybp/audit-analyzer'; const analyzer = new Analyzer({ threshold: 0.75 });

Need On-Premise Deployment?

Our enterprise version supports full offline installation with private ML model hosting.

🔐 Enterprise Features