Documentation | Augment AI Platform

Installation

Deploy AI ThreatHunter to start proactive threat detection and behavioral analysis across your security infrastructure.

System Requirements

Python 3.9 or higher
Elasticsearch 7.0+ (for threat data storage)
Splunk or similar SIEM (optional integration)
Minimum 16GB RAM (32GB recommended for large environments)
Network access to security tools and threat intelligence feeds

Install via Package Manager

Installationbash

# Install via pip
pip install augment-threat-hunter

# Install via Docker
docker pull augment/threat-hunter:latest

# Install from source
git clone https://github.com/augment-ai/threat-hunter
cd threat-hunter
pip install -e .

# Install threat intelligence tools
pip install yara-python misp-python stix2

# Verify installation
threat-hunter --version

Security Tools Integration

Configure integration with your existing security infrastructure:

Security Integrationbash

# Set Augment API key
export AUGMENT_API_KEY=your_api_key_here

# Configure SIEM integration
export SIEM_TYPE=splunk
export SPLUNK_HOST=splunk.company.com
export SPLUNK_TOKEN=your_splunk_token

# Configure threat intelligence feeds
export MISP_URL=https://misp.company.com
export MISP_KEY=your_misp_key

# Initialize threat hunter
threat-hunter init --siem splunk --threat-feeds misp,otx

# Verify integrations
threat-hunter health-check

Quick Start

Start hunting for advanced threats and analyzing suspicious behaviors in your environment.

1. Configure Hunting Scope

Hunting Configurationbash

# Define hunting scope and targets
threat-hunter scope --networks 192.168.1.0/24,10.0.0.0/16
threat-hunter scope --endpoints workstations,servers
threat-hunter scope --timeframe 24h

# Configure threat models
threat-hunter models --enable apt,insider-threat,malware
threat-hunter models --sensitivity high

# Set up data sources
threat-hunter sources --logs /var/log/security/
threat-hunter sources --network-traffic eth0
threat-hunter sources --endpoint-agents carbon-black

2. Start Threat Hunting

Threat Huntingbash

# Start continuous threat hunting
threat-hunter hunt --continuous --daemon

# Run targeted hunt for specific threats
threat-hunter hunt --threat-type apt --target-group executives

# Hunt for indicators of compromise
threat-hunter hunt --iocs malicious-ips.txt --correlate

# Behavioral analysis hunt
threat-hunter hunt --behavioral --baseline 30d

3. Analyze and Respond

Threat Analysisbash

# Generate threat analysis report
threat-hunter analyze --output threat-report.html

# Get active threat summary
threat-hunter status --active-threats --severity high

# Create incident response playbook
threat-hunter respond --threat-id THR-001 --generate-playbook

# Execute automated response
threat-hunter respond --threat-id THR-001 --isolate-host --notify-team

Configuration

Configure AI ThreatHunter to align with your security operations and threat landscape.

Basic Configuration

.threat-hunter.yamlyaml

version: "1.0"
organization: "your-company"
environment: "production"

hunting_scope:
  networks:
    - "192.168.1.0/24"
    - "10.0.0.0/16"
  endpoints:
    - "workstations"
    - "servers"
    - "cloud-instances"
  time_windows:
    continuous: true
    historical: "90d"

threat_models:
  apt:
    enabled: true
    sensitivity: "high"
    indicators: ["lateral-movement", "persistence", "exfiltration"]
  insider_threat:
    enabled: true
    behavioral_baseline: "30d"
    anomaly_threshold: 2.5
  malware:
    enabled: true
    yara_rules: "./rules/malware/"
    sandbox_analysis: true

data_sources:
  siem:
    type: "splunk"
    host: "splunk.company.com"
    index: "security"
  logs:
    paths: ["/var/log/security/", "/var/log/auth.log"]
    formats: ["json", "syslog"]
  network:
    interfaces: ["eth0", "eth1"]
    pcap_storage: "/data/pcap/"
  endpoints:
    agent_type: "carbon_black"
    api_endpoint: "https://defense.conferdeploy.net"

threat_intelligence:
  feeds:
    - name: "misp"
      url: "https://misp.company.com"
      api_key: "{MISP_KEY}"
    - name: "otx"
      url: "https://otx.alienvault.com"
      api_key: "{OTX_KEY}"
  update_frequency: "hourly"
  correlation_rules: "./rules/correlation/"

response_automation:
  enabled: true
  actions:
    - type: "isolate_host"
      approval_required: false
      max_severity: "medium"
    - type: "block_ip"
      approval_required: false
      auto_expire: "24h"
    - type: "quarantine_file"
      approval_required: true
      preserve_evidence: true

Threat Intelligence

AI ThreatHunter integrates with multiple threat intelligence sources for comprehensive threat context.

External Feeds

• MISP threat sharing platforms
• AlienVault OTX indicators
• Commercial threat intelligence
• Government threat bulletins
• Industry-specific feeds

Internal Intelligence

• Historical incident data
• Custom IOC repositories
• Behavioral baselines
• Asset vulnerability context
• Business impact metrics

Threat Intelligence Configuration

Threat Intelligence Setupbash

# Add threat intelligence feed
threat-hunter intel add --type misp \
  --url "https://misp.company.com" \
  --key "your-misp-key" \
  --tags "company,apt,malware"

# Configure IOC correlation
threat-hunter intel correlate --enable \
  --sources "misp,otx,internal" \
  --confidence-threshold 0.7

# Update threat intelligence
threat-hunter intel update --all --force

# Query threat intelligence
threat-hunter intel query --ioc "1.2.3.4" --type "ip"

Environment Variables

Configure AI ThreatHunter behavior using environment variables for different deployment scenarios.

Variable	Description	Default
AUGMENT_API_KEY	Your Augment API key	Required
THREAT_HUNTER_CONFIG	Path to configuration file	.threat-hunter.yaml
THREAT_HUNTER_LOG_LEVEL	Logging level (debug/info/warn/error)	info
THREAT_HUNTER_WORKERS	Number of hunting worker processes	4

Basic Usage

Learn the fundamental threat hunting patterns and security analysis workflows.

Hunting Commands

Threat Huntingbash

# Start proactive threat hunt
threat-hunter hunt --proactive --timeframe 24h

# Hunt for specific threat indicators
threat-hunter hunt --iocs indicators.txt --correlate-events

# Behavioral anomaly hunting
threat-hunter hunt --behavioral --users executives --baseline 30d

# Network-based threat hunting
threat-hunter hunt --network --protocols http,dns --suspicious-domains

CLI Commands Reference

Complete reference for all threat hunting and incident response commands.

hunt

Execute proactive threat hunting campaigns with AI-powered analysis

threat-hunter hunt [options]

Options:
  --type <type>            Hunt type (proactive|reactive|behavioral|network)
  --threat-model <model>   Threat model (apt|insider|malware|all)
  --timeframe <period>     Time period for hunting (1h|24h|7d|30d)
  --targets <targets>      Specific targets (users|hosts|networks)
  --iocs <file>            Indicators of compromise file
  --sensitivity <level>    Detection sensitivity (low|medium|high)
  --correlate              Enable event correlation
  --continuous             Run continuous hunting
  --output <file>          Output file path
  --format <format>        Output format (json|html|csv)

analyze

Analyze threats and generate intelligence reports

threat-hunter analyze [options]

Options:
  --threat-id <id>         Specific threat to analyze
  --attack-chain           Generate attack chain analysis
  --attribution            Perform threat actor attribution
  --timeline               Create attack timeline
  --impact-assessment      Calculate business impact
  --indicators             Extract indicators of compromise
  --recommendations        Generate response recommendations
  --executive-summary      Create executive summary report

Best Practices

Threat hunting best practices to maximize detection effectiveness and minimize false positives.

Threat Hunting Strategy

Establish baseline behavioral patterns before hunting
Focus hunting efforts on high-value assets and users
Use hypothesis-driven hunting approaches
Correlate multiple data sources for higher confidence
Document and share hunting methodologies with team
Continuously update threat models based on new intelligence

Incident Response

Automated incident response capabilities to quickly contain and remediate identified threats.

Response Actions

Containment

Immediate threat containment actions

• Isolate compromised hosts
• Block malicious IPs
• Quarantine files

Investigation

Automated evidence collection

• Collect forensic artifacts
• Timeline reconstruction
• Impact assessment

Recovery

System restoration and hardening

• Clean infected systems
• Restore from backups
• Implement countermeasures

Behavioral Analysis

Advanced behavioral analysis to detect sophisticated threats that evade traditional security controls.

Analysis Types

Behavioral Analysisbash

# User behavior analysis
threat-hunter behavioral --type user --baseline 30d --anomaly-threshold 2.5

# Network behavior analysis
threat-hunter behavioral --type network --protocols all --detect-tunneling

# Application behavior analysis
threat-hunter behavioral --type application --monitor-processes --detect-injection

# System behavior analysis
threat-hunter behavioral --type system --file-activity --registry-changes

API Integration

Integrate AI ThreatHunter into your security operations center and incident response workflows.

REST API

API Usagebash

# Submit threat hunting request via API
curl -X POST https://api.augment.cfd/v1/threat/hunt \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "hunt_type": "proactive",
    "threat_models": ["apt", "insider"],
    "timeframe": "24h",
    "targets": ["executives", "servers"],
    "sensitivity": "high"
  }'

Python SDK

Python Integrationpython

from augment_threat_hunter import ThreatHunter

# Initialize threat hunter
hunter = ThreatHunter(api_key=os.environ['AUGMENT_API_KEY'])

# Start threat hunting campaign
hunt_result = await hunter.start_hunt(
    hunt_type='proactive',
    threat_models=['apt', 'malware'],
    timeframe='24h',
    sensitivity='high'
)

# Get active threats
threats = await hunter.get_active_threats(severity='high')
print(f"Found {len(threats)} active threats")

# Analyze specific threat
threat_analysis = await hunter.analyze_threat(
    threat_id='THR-001',
    include_attribution=True,
    generate_timeline=True
)

# Execute automated response
response_result = await hunter.execute_response(
    threat_id='THR-001',
    actions=['isolate_host', 'block_ip'],
    notify_team=True
)

API Reference

Complete API documentation for integrating threat hunting into your security applications.

Threat Hunt Endpoint

POST /v1/threat/hunt

Initiate a comprehensive threat hunting campaign with AI analysis.

Request Body:

{
  "hunt_type": "proactive|reactive|behavioral|network",
  "threat_models": ["apt", "insider", "malware"],
  "scope": {
    "networks": ["192.168.1.0/24", "10.0.0.0/16"],
    "endpoints": ["workstations", "servers"],
    "users": ["executives", "administrators"]
  },
  "timeframe": "1h|24h|7d|30d",
  "options": {
    "sensitivity": "low|medium|high",
    "correlate_events": true,
    "include_attribution": true,
    "behavioral_baseline": "30d"
  },
  "threat_intelligence": {
    "feeds": ["misp", "otx", "internal"],
    "confidence_threshold": 0.7
  }
}

Response:

{
  "hunt_id": "hunt-789012",
  "status": "completed",
  "summary": {
    "threats_found": 8,
    "high_severity": 3,
    "medium_severity": 5,
    "events_analyzed": 2400000,
    "indicators_matched": 156
  },
  "threats": [
    {
      "id": "THR-001",
      "severity": "high",
      "threat_type": "apt",
      "confidence": 0.94,
      "title": "Advanced Persistent Threat - Lateral Movement Detected",
      "description": "Suspicious lateral movement pattern detected across multiple hosts",
      "affected_assets": ["host-001", "host-002", "host-003"],
      "attack_chain": [
        {
          "stage": "initial_access",
          "technique": "T1566.001",
          "description": "Spearphishing attachment",
          "timestamp": "2025-09-18T10:30:00Z"
        },
        {
          "stage": "lateral_movement",
          "technique": "T1021.001",
          "description": "Remote desktop protocol",
          "timestamp": "2025-09-18T11:15:00Z"
        }
      ],
      "indicators": [
        {
          "type": "ip",
          "value": "192.168.1.100",
          "confidence": 0.89
        },
        {
          "type": "file_hash",
          "value": "a1b2c3d4e5f6...",
          "confidence": 0.95
        }
      ],
      "attribution": {
        "threat_actor": "APT28",
        "confidence": 0.78,
        "campaign": "Operation Ghost"
      },
      "recommended_actions": [
        "Isolate affected hosts immediately",
        "Reset credentials for compromised accounts",
        "Deploy additional monitoring on critical assets"
      ]
    }
  ],
  "intelligence_summary": {
    "iocs_matched": 23,
    "new_indicators": 12,
    "threat_actor_ttps": ["T1566.001", "T1021.001", "T1055"]
  }
}

Troubleshooting

Common issues and solutions when running threat hunting and incident response operations.

Common Issues

High False Positive Rate

Too many false positive threat detections affecting operations

Solutions:

Adjust sensitivity thresholds for specific threat models
Extend behavioral baseline period for better accuracy
Add known-good patterns to whitelist
Fine-tune correlation rules for your environment

Data Source Connectivity

Issues connecting to SIEM or security tools for data collection

Solutions:

Verify network connectivity and firewall rules
Check API credentials and permissions
Validate data source configuration settings
Test connectivity with health-check command

Performance Degradation

Threat hunting operations impacting system performance

Solutions:

Reduce hunting scope or timeframe
Increase system resources (CPU, memory)
Schedule intensive hunts during off-peak hours
Use incremental hunting approaches

Threat Hunting Documentation Complete!

You now have comprehensive knowledge to implement AI ThreatHunter in your security operations. From proactive threat hunting to automated incident response, you're equipped to detect and respond to advanced threats with AI-powered intelligence.

Ready to hunt advanced threats? Start your free threat assessment today and discover how AI can proactively identify sophisticated attacks before they cause damage.

Installation

Deploy AI ThreatHunter to start proactive threat detection and behavioral analysis across your security infrastructure.

System Requirements

Python 3.9 or higher
Elasticsearch 7.0+ (for threat data storage)
Splunk or similar SIEM (optional integration)
Minimum 16GB RAM (32GB recommended for large environments)
Network access to security tools and threat intelligence feeds

Install via Package Manager

Installationbash

# Install via pip
pip install augment-threat-hunter

# Install via Docker
docker pull augment/threat-hunter:latest

# Install from source
git clone https://github.com/augment-ai/threat-hunter
cd threat-hunter
pip install -e .

# Install threat intelligence tools
pip install yara-python misp-python stix2

# Verify installation
threat-hunter --version

Security Tools Integration

Configure integration with your existing security infrastructure:

Security Integrationbash

# Set Augment API key
export AUGMENT_API_KEY=your_api_key_here

# Configure SIEM integration
export SIEM_TYPE=splunk
export SPLUNK_HOST=splunk.company.com
export SPLUNK_TOKEN=your_splunk_token

# Configure threat intelligence feeds
export MISP_URL=https://misp.company.com
export MISP_KEY=your_misp_key

# Initialize threat hunter
threat-hunter init --siem splunk --threat-feeds misp,otx

# Verify integrations
threat-hunter health-check

Quick Start

Start hunting for advanced threats and analyzing suspicious behaviors in your environment.

1. Configure Hunting Scope

Hunting Configurationbash

# Define hunting scope and targets
threat-hunter scope --networks 192.168.1.0/24,10.0.0.0/16
threat-hunter scope --endpoints workstations,servers
threat-hunter scope --timeframe 24h

# Configure threat models
threat-hunter models --enable apt,insider-threat,malware
threat-hunter models --sensitivity high

# Set up data sources
threat-hunter sources --logs /var/log/security/
threat-hunter sources --network-traffic eth0
threat-hunter sources --endpoint-agents carbon-black

2. Start Threat Hunting

Threat Huntingbash

# Start continuous threat hunting
threat-hunter hunt --continuous --daemon

# Run targeted hunt for specific threats
threat-hunter hunt --threat-type apt --target-group executives

# Hunt for indicators of compromise
threat-hunter hunt --iocs malicious-ips.txt --correlate

# Behavioral analysis hunt
threat-hunter hunt --behavioral --baseline 30d

3. Analyze and Respond

Threat Analysisbash

# Generate threat analysis report
threat-hunter analyze --output threat-report.html

# Get active threat summary
threat-hunter status --active-threats --severity high

# Create incident response playbook
threat-hunter respond --threat-id THR-001 --generate-playbook

# Execute automated response
threat-hunter respond --threat-id THR-001 --isolate-host --notify-team

Configuration

Configure AI ThreatHunter to align with your security operations and threat landscape.

Basic Configuration

.threat-hunter.yamlyaml

version: "1.0"
organization: "your-company"
environment: "production"

hunting_scope:
  networks:
    - "192.168.1.0/24"
    - "10.0.0.0/16"
  endpoints:
    - "workstations"
    - "servers"
    - "cloud-instances"
  time_windows:
    continuous: true
    historical: "90d"

threat_models:
  apt:
    enabled: true
    sensitivity: "high"
    indicators: ["lateral-movement", "persistence", "exfiltration"]
  insider_threat:
    enabled: true
    behavioral_baseline: "30d"
    anomaly_threshold: 2.5
  malware:
    enabled: true
    yara_rules: "./rules/malware/"
    sandbox_analysis: true

data_sources:
  siem:
    type: "splunk"
    host: "splunk.company.com"
    index: "security"
  logs:
    paths: ["/var/log/security/", "/var/log/auth.log"]
    formats: ["json", "syslog"]
  network:
    interfaces: ["eth0", "eth1"]
    pcap_storage: "/data/pcap/"
  endpoints:
    agent_type: "carbon_black"
    api_endpoint: "https://defense.conferdeploy.net"

threat_intelligence:
  feeds:
    - name: "misp"
      url: "https://misp.company.com"
      api_key: "{MISP_KEY}"
    - name: "otx"
      url: "https://otx.alienvault.com"
      api_key: "{OTX_KEY}"
  update_frequency: "hourly"
  correlation_rules: "./rules/correlation/"

response_automation:
  enabled: true
  actions:
    - type: "isolate_host"
      approval_required: false
      max_severity: "medium"
    - type: "block_ip"
      approval_required: false
      auto_expire: "24h"
    - type: "quarantine_file"
      approval_required: true
      preserve_evidence: true

Threat Intelligence

AI ThreatHunter integrates with multiple threat intelligence sources for comprehensive threat context.

External Feeds

• MISP threat sharing platforms
• AlienVault OTX indicators
• Commercial threat intelligence
• Government threat bulletins
• Industry-specific feeds

Internal Intelligence

• Historical incident data
• Custom IOC repositories
• Behavioral baselines
• Asset vulnerability context
• Business impact metrics

Threat Intelligence Configuration

Threat Intelligence Setupbash

# Add threat intelligence feed
threat-hunter intel add --type misp \
  --url "https://misp.company.com" \
  --key "your-misp-key" \
  --tags "company,apt,malware"

# Configure IOC correlation
threat-hunter intel correlate --enable \
  --sources "misp,otx,internal" \
  --confidence-threshold 0.7

# Update threat intelligence
threat-hunter intel update --all --force

# Query threat intelligence
threat-hunter intel query --ioc "1.2.3.4" --type "ip"

Environment Variables

Configure AI ThreatHunter behavior using environment variables for different deployment scenarios.

Variable	Description	Default
AUGMENT_API_KEY	Your Augment API key	Required
THREAT_HUNTER_CONFIG	Path to configuration file	.threat-hunter.yaml
THREAT_HUNTER_LOG_LEVEL	Logging level (debug/info/warn/error)	info
THREAT_HUNTER_WORKERS	Number of hunting worker processes	4

Basic Usage

Learn the fundamental threat hunting patterns and security analysis workflows.

Hunting Commands

Threat Huntingbash

# Start proactive threat hunt
threat-hunter hunt --proactive --timeframe 24h

# Hunt for specific threat indicators
threat-hunter hunt --iocs indicators.txt --correlate-events

# Behavioral anomaly hunting
threat-hunter hunt --behavioral --users executives --baseline 30d

# Network-based threat hunting
threat-hunter hunt --network --protocols http,dns --suspicious-domains

CLI Commands Reference

Complete reference for all threat hunting and incident response commands.

hunt

Execute proactive threat hunting campaigns with AI-powered analysis

threat-hunter hunt [options]

Options:
  --type <type>            Hunt type (proactive|reactive|behavioral|network)
  --threat-model <model>   Threat model (apt|insider|malware|all)
  --timeframe <period>     Time period for hunting (1h|24h|7d|30d)
  --targets <targets>      Specific targets (users|hosts|networks)
  --iocs <file>            Indicators of compromise file
  --sensitivity <level>    Detection sensitivity (low|medium|high)
  --correlate              Enable event correlation
  --continuous             Run continuous hunting
  --output <file>          Output file path
  --format <format>        Output format (json|html|csv)

analyze

Analyze threats and generate intelligence reports

threat-hunter analyze [options]

Options:
  --threat-id <id>         Specific threat to analyze
  --attack-chain           Generate attack chain analysis
  --attribution            Perform threat actor attribution
  --timeline               Create attack timeline
  --impact-assessment      Calculate business impact
  --indicators             Extract indicators of compromise
  --recommendations        Generate response recommendations
  --executive-summary      Create executive summary report

Best Practices

Threat hunting best practices to maximize detection effectiveness and minimize false positives.

Threat Hunting Strategy

Establish baseline behavioral patterns before hunting
Focus hunting efforts on high-value assets and users
Use hypothesis-driven hunting approaches
Correlate multiple data sources for higher confidence
Document and share hunting methodologies with team
Continuously update threat models based on new intelligence

Incident Response

Automated incident response capabilities to quickly contain and remediate identified threats.

Response Actions

Containment

Immediate threat containment actions

• Isolate compromised hosts
• Block malicious IPs
• Quarantine files

Investigation

Automated evidence collection

• Collect forensic artifacts
• Timeline reconstruction
• Impact assessment

Recovery

System restoration and hardening

• Clean infected systems
• Restore from backups
• Implement countermeasures

Behavioral Analysis

Advanced behavioral analysis to detect sophisticated threats that evade traditional security controls.

Analysis Types

Behavioral Analysisbash

# User behavior analysis
threat-hunter behavioral --type user --baseline 30d --anomaly-threshold 2.5

# Network behavior analysis
threat-hunter behavioral --type network --protocols all --detect-tunneling

# Application behavior analysis
threat-hunter behavioral --type application --monitor-processes --detect-injection

# System behavior analysis
threat-hunter behavioral --type system --file-activity --registry-changes

API Integration

Integrate AI ThreatHunter into your security operations center and incident response workflows.

REST API

API Usagebash

# Submit threat hunting request via API
curl -X POST https://api.augment.cfd/v1/threat/hunt \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "hunt_type": "proactive",
    "threat_models": ["apt", "insider"],
    "timeframe": "24h",
    "targets": ["executives", "servers"],
    "sensitivity": "high"
  }'

Python SDK

Python Integrationpython

from augment_threat_hunter import ThreatHunter

# Initialize threat hunter
hunter = ThreatHunter(api_key=os.environ['AUGMENT_API_KEY'])

# Start threat hunting campaign
hunt_result = await hunter.start_hunt(
    hunt_type='proactive',
    threat_models=['apt', 'malware'],
    timeframe='24h',
    sensitivity='high'
)

# Get active threats
threats = await hunter.get_active_threats(severity='high')
print(f"Found {len(threats)} active threats")

# Analyze specific threat
threat_analysis = await hunter.analyze_threat(
    threat_id='THR-001',
    include_attribution=True,
    generate_timeline=True
)

# Execute automated response
response_result = await hunter.execute_response(
    threat_id='THR-001',
    actions=['isolate_host', 'block_ip'],
    notify_team=True
)

API Reference

Complete API documentation for integrating threat hunting into your security applications.

Threat Hunt Endpoint

POST /v1/threat/hunt

Initiate a comprehensive threat hunting campaign with AI analysis.

Request Body:

{
  "hunt_type": "proactive|reactive|behavioral|network",
  "threat_models": ["apt", "insider", "malware"],
  "scope": {
    "networks": ["192.168.1.0/24", "10.0.0.0/16"],
    "endpoints": ["workstations", "servers"],
    "users": ["executives", "administrators"]
  },
  "timeframe": "1h|24h|7d|30d",
  "options": {
    "sensitivity": "low|medium|high",
    "correlate_events": true,
    "include_attribution": true,
    "behavioral_baseline": "30d"
  },
  "threat_intelligence": {
    "feeds": ["misp", "otx", "internal"],
    "confidence_threshold": 0.7
  }
}

Response:

{
  "hunt_id": "hunt-789012",
  "status": "completed",
  "summary": {
    "threats_found": 8,
    "high_severity": 3,
    "medium_severity": 5,
    "events_analyzed": 2400000,
    "indicators_matched": 156
  },
  "threats": [
    {
      "id": "THR-001",
      "severity": "high",
      "threat_type": "apt",
      "confidence": 0.94,
      "title": "Advanced Persistent Threat - Lateral Movement Detected",
      "description": "Suspicious lateral movement pattern detected across multiple hosts",
      "affected_assets": ["host-001", "host-002", "host-003"],
      "attack_chain": [
        {
          "stage": "initial_access",
          "technique": "T1566.001",
          "description": "Spearphishing attachment",
          "timestamp": "2025-09-18T10:30:00Z"
        },
        {
          "stage": "lateral_movement",
          "technique": "T1021.001",
          "description": "Remote desktop protocol",
          "timestamp": "2025-09-18T11:15:00Z"
        }
      ],
      "indicators": [
        {
          "type": "ip",
          "value": "192.168.1.100",
          "confidence": 0.89
        },
        {
          "type": "file_hash",
          "value": "a1b2c3d4e5f6...",
          "confidence": 0.95
        }
      ],
      "attribution": {
        "threat_actor": "APT28",
        "confidence": 0.78,
        "campaign": "Operation Ghost"
      },
      "recommended_actions": [
        "Isolate affected hosts immediately",
        "Reset credentials for compromised accounts",
        "Deploy additional monitoring on critical assets"
      ]
    }
  ],
  "intelligence_summary": {
    "iocs_matched": 23,
    "new_indicators": 12,
    "threat_actor_ttps": ["T1566.001", "T1021.001", "T1055"]
  }
}

Troubleshooting

Common issues and solutions when running threat hunting and incident response operations.

Common Issues

High False Positive Rate

Too many false positive threat detections affecting operations

Solutions:

Adjust sensitivity thresholds for specific threat models
Extend behavioral baseline period for better accuracy
Add known-good patterns to whitelist
Fine-tune correlation rules for your environment

Data Source Connectivity

Issues connecting to SIEM or security tools for data collection

Solutions:

Verify network connectivity and firewall rules
Check API credentials and permissions
Validate data source configuration settings
Test connectivity with health-check command

Performance Degradation

Threat hunting operations impacting system performance

Solutions:

Reduce hunting scope or timeframe
Increase system resources (CPU, memory)
Schedule intensive hunts during off-peak hours
Use incremental hunting approaches

Threat Hunting Documentation Complete!

Ready to hunt advanced threats? Start your free threat assessment today and discover how AI can proactively identify sophisticated attacks before they cause damage.

AI ThreatHunter

Proactive Threat Hunting

Behavioral Analysis

Threat Intelligence

Automated Response

Installation

System Requirements

Install via Package Manager

Security Tools Integration

Quick Start

1. Configure Hunting Scope

2. Start Threat Hunting

3. Analyze and Respond

Configuration

Basic Configuration

Threat Intelligence

External Feeds

Internal Intelligence

Threat Intelligence Configuration

Environment Variables

Basic Usage

Hunting Commands

CLI Commands Reference

hunt

analyze

Best Practices

Threat Hunting Strategy

Incident Response

Response Actions

Containment

Investigation

Recovery

Behavioral Analysis

Analysis Types

API Integration

REST API

Python SDK

API Reference

Threat Hunt Endpoint

POST /v1/threat/hunt

Request Body:

Response:

Troubleshooting

Common Issues

High False Positive Rate

Data Source Connectivity

Performance Degradation

Threat Hunting Documentation Complete!

AI ThreatHunter

Proactive Threat Hunting

Behavioral Analysis

Threat Intelligence

Automated Response

Installation

System Requirements

Install via Package Manager

Security Tools Integration

Quick Start

1. Configure Hunting Scope

2. Start Threat Hunting

3. Analyze and Respond

Configuration

Basic Configuration

Threat Intelligence

External Feeds

Internal Intelligence

Threat Intelligence Configuration

Environment Variables

Basic Usage

Hunting Commands

CLI Commands Reference

hunt

analyze

Best Practices

Threat Hunting Strategy

Incident Response

Response Actions

Containment

Investigation

Recovery