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SentinelForge

Autonomous SOC Analyst Platform

AI-driven alert triage, log correlation, threat hunting, and incident response playbook execution for Security Operations Centers.

CI Python 3.10+ License: MIT


The Problem

There are 4.8 million unfilled cybersecurity positions worldwide (ISC² 2024), and the gap is widening. SOC analysts face:

  • 11,000+ alerts/day in enterprise environments, most of which are false positives
  • Alert fatigue causing analysts to miss genuine threats buried in noise
  • 45-minute average time to triage a single alert manually
  • Tier-1 analysts spending 60-70% of their time on repetitive, automatable tasks

Meanwhile, adversaries are faster than ever. The median breakout time (initial access to lateral movement) is now 62 minutes (CrowdStrike 2024).

SentinelForge automates the 60-70% of Tier-1 SOC work that is pattern-based and repetitive, letting human analysts focus on complex investigations that require judgment.


Architecture

┌──────────────────────────────────────────────────────────────────┐
│                        ALERT SOURCES                            │
│   Syslog (RFC 5424/3164) │ CEF │ LEEF │ JSON │ Windows XML     │
└────────────────┬─────────────────────────────────────────────────┘
                 │
                 ▼
┌──────────────────────────────────────────────────────────────────┐
│                    INGESTION PIPELINE                            │
│   Parse (auto-detect) → Normalize (OCSF) → Enrich              │
│   • GeoIP lookup         • Threat intel     • Asset context     │
└────────────────┬─────────────────────────────────────────────────┘
                 │
                 ▼
┌──────────────────────────────────────────────────────────────────┐
│                      TRIAGE AGENT                                │
│   LLM-based severity classification + MITRE ATT&CK mapping      │
│   • Confidence scoring   • Auto-close benign  • Verdict         │
└────────┬───────────┬───────────┬─────────────────────────────────┘
         │           │           │
    ┌────▼──┐   ┌────▼────┐  ┌──▼──────────────────────────┐
    │ LOW   │   │ MEDIUM  │  │ HIGH / CRITICAL              │
    │Auto-  │   │Investi- │  │Alert → HITL → Playbook       │
    │close  │   │gate →   │  │→ Remediate                   │
    └───────┘   │Correlate│  └──────────────────────────────┘
                │→ Report │
                └─────────┘
                     │
                     ▼
┌──────────────────────────────────────────────────────────────────┐
│                  INCIDENT DASHBOARD                              │
│   Real-time alert feed │ Timeline │ Playbook status │ Metrics   │
│   WebSocket live updates │ REST API │ Investigation workspace   │
└──────────────────────────────────────────────────────────────────┘

Features

Multi-Format Log Ingestion

  • 5 formats: Syslog RFC 5424/3164, CEF, LEEF, JSON, Windows Event XML
  • Auto-detection: Automatically identifies log format
  • OCSF normalization: All logs converted to Open Cybersecurity Schema Framework
  • Enrichment: GeoIP, threat intelligence, asset context

AI-Powered Triage Agent

  • Severity classification: Critical / High / Medium / Low / Info
  • MITRE ATT&CK mapping: Automatic technique and tactic identification
  • Confidence scoring: 0.0-1.0 confidence on every classification
  • Auto-close: Known benign patterns closed automatically (60-70% reduction)
  • 14 ATT&CK technique patterns matched across all tactics

Investigation Agent

  • IOC extraction: IPs, domains, hashes (MD5/SHA1/SHA256), URLs, emails
  • Timeline reconstruction: Chronological event sequence
  • Lateral movement detection: Multi-host pivot analysis
  • Risk scoring: 0-10 composite risk score
  • Actionable recommendations: Specific remediation guidance

Correlation Engine

  • Entity-based grouping: Union-Find algorithm across IPs, users, hosts
  • Kill chain progression: ATT&CK tactic sequence detection
  • Alert deduplication: Identical alerts consolidated
  • Incident creation: Automatic incident packaging with full context

Playbook Engine

  • YAML-defined playbooks: Declarative response procedures
  • HITL approval gates: Destructive actions require human approval
  • 10 action types: Block IP, isolate host, disable account, collect forensics, etc.
  • Execution logging: Full audit trail of every action
  • 5 built-in playbooks: Brute force, malware, data exfil, phishing, privilege escalation

Threat Hunting

  • 8 built-in hypotheses: Brute force, lateral movement, exfiltration, C2 beaconing, etc.
  • Anomaly scoring: Statistical baseline comparison
  • Custom hypotheses: Define your own hunt queries
  • Frequency, timing, and fan-out anomaly detection

Detection Models

  • 10 built-in detection rules: Brute force, PowerShell, credential dumping, ransomware, etc.
  • Rule engine: Pattern-based with threshold support
  • ML anomaly detector: Z-score analysis with NumPy (optional)
  • Custom rules: Add your own detection logic

Web Dashboard

  • Real-time alert feed: Live severity-coded display
  • Incident timeline: Visual attack progression
  • WebSocket support: Push updates to connected clients
  • REST API: Full CRUD for alerts, incidents, and playbooks
  • Dark SOC theme: Purpose-built for 24/7 operations

Quickstart

Install

# Clone
git clone https://github.com/cwccie/sentinelforge.git
cd sentinelforge

# Install with all optional dependencies
pip install -e ".[all]"

# Or minimal install (no web dashboard, no CLI colors)
pip install -e .

Demo Mode

Run the full pipeline with sample data:

sentinelforge demo

This will:

  1. Ingest 20+ sample logs across all formats
  2. Triage and classify each alert with ATT&CK mapping
  3. Run detection rules
  4. Investigate high-severity alerts
  5. Correlate alerts into incidents
  6. Execute threat hunts
  7. Print a comprehensive summary

Launch Dashboard

sentinelforge dashboard
# Open http://localhost:5000

Docker

docker compose up -d
# Dashboard at http://localhost:5000

# With demo data:
docker compose --profile demo up -d

Submit an Alert via API

# Submit a raw log
curl -X POST http://localhost:5000/api/v1/alerts \
  -H "Content-Type: application/json" \
  -d '{"raw_log": "<134>1 2026-02-23T10:15:30Z fw01 sshd 1234 - - Failed password for admin from 198.51.100.23 port 22"}'

# List alerts
curl http://localhost:5000/api/v1/alerts

# Run correlation
curl -X POST http://localhost:5000/api/v1/correlate

# Get metrics
curl http://localhost:5000/api/v1/metrics

CLI Reference

sentinelforge ingest <file>              Ingest logs from a file
sentinelforge triage                     Run triage on pending alerts
sentinelforge investigate <alert_id>     Deep investigation of an alert
sentinelforge correlate                  Group alerts into incidents
sentinelforge hunt [hypothesis]          Run threat hunting hypotheses
sentinelforge dashboard                  Launch web dashboard
sentinelforge demo                       Full pipeline demo with sample data
sentinelforge status                     Show system status

API Endpoints

Method Endpoint Description
POST /api/v1/alerts Submit a raw log for ingestion + triage
GET /api/v1/alerts List alerts (filter by status, severity)
GET /api/v1/alerts/<id> Get specific alert
POST /api/v1/alerts/<id>/investigate Run investigation
GET /api/v1/incidents List incidents
GET /api/v1/incidents/<id> Get specific incident
POST /api/v1/correlate Trigger correlation engine
POST /api/v1/ingest/batch Batch log ingestion
GET /api/v1/metrics System metrics

MITRE ATT&CK Coverage

SentinelForge maps alerts to MITRE ATT&CK techniques across the kill chain:

Tactic Techniques IDs
Initial Access Valid Accounts, Phishing T1078, T1566
Execution Command and Scripting Interpreter T1059
Persistence Scheduled Task/Job T1053
Privilege Escalation Exploitation for Privilege Escalation T1068
Defense Evasion Indicator Removal T1070
Credential Access Brute Force, OS Credential Dumping T1110, T1003
Discovery Network Service Discovery T1046
Lateral Movement Remote Services T1021
Command and Control Application Layer Protocol, DNS T1071, T1071.004
Exfiltration Exfiltration Over C2 Channel T1041
Impact Data Encrypted for Impact T1486

Comparison

Feature SentinelForge Splunk SOAR Palo Alto XSOAR
Open source Yes (MIT) No No
Self-hosted Yes Yes Yes/Cloud
AI triage Built-in Plugin Plugin
ATT&CK mapping Automatic Manual Semi-auto
Zero dependencies Yes No No
Multi-format ingest 5 formats Via add-ons Via integrations
Playbook engine YAML + HITL Visual Visual
Threat hunting Built-in Separate Separate
Setup time < 5 minutes Days-weeks Days-weeks
License cost $0 $$$$ $$$$

Project Structure

sentinelforge/
├── src/sentinelforge/
│   ├── ingest/          # Multi-format log parsers + OCSF normalization
│   ├── triage/          # AI triage agent with ATT&CK mapping
│   ├── investigate/     # IOC extraction, timeline, lateral movement
│   ├── correlate/       # Entity-based correlation engine
│   ├── playbook/        # YAML playbook engine with HITL gates
│   ├── hunt/            # Threat hunting with anomaly scoring
│   ├── dashboard/       # Flask + WebSocket web interface
│   ├── api/             # REST API endpoints
│   ├── models/          # Rule engine + ML anomaly detector
│   ├── schemas.py       # OCSF-aligned data models
│   ├── store.py         # Thread-safe in-memory storage
│   └── cli.py           # Click CLI
├── tests/               # 50+ tests across all modules
├── sample_data/         # Sample logs in all supported formats
├── playbooks/           # 5 YAML response playbooks
├── pyproject.toml       # Package configuration
├── Dockerfile           # Container build
├── docker-compose.yml   # Container orchestration
└── README.md

Development

# Setup
python -m venv .venv && source .venv/bin/activate
pip install -e ".[dev]"

# Test
pytest --cov

# Lint
ruff check src/ tests/

# Run demo
sentinelforge demo

Roadmap

  • Real LLM integration (OpenAI, Anthropic, local models)
  • Elasticsearch backend for persistent storage
  • STIX/TAXII threat intelligence feed integration
  • SOAR integrations (TheHive, Cortex, Shuffle)
  • Sigma rule import
  • Multi-tenant support
  • Kafka/Redis streaming ingestion
  • RBAC and audit logging

Author

Corey A. Wade

  • CISSP, CCIE #14124
  • PhD Candidate — AI + Cybersecurity
  • GitHub: @cwccie

License

MIT License — see LICENSE for details.

About

SentinelForge: Autonomous SOC analyst platform with AI agents for alert triage, log correlation, threat hunting, and incident response.

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