AI Enhanced Threat Hunting Workflow for Effective Security

AI-Enhanced Threat Hunting Workflow

1. Define Objectives

1.1 Identify Key Assets

Determine the critical assets that require protection, such as sensitive data, intellectual property, and infrastructure.

1.2 Establish Threat Landscape

Analyze the current threat landscape to understand potential attack vectors and threat actors.

2. Data Collection

2.1 Gather Data Sources

Collect data from various sources including:

• Network traffic logs
• Endpoint detection and response (EDR) tools
• Threat intelligence feeds
• Security information and event management (SIEM) systems

2.2 Utilize AI Tools

Implement AI-driven tools for data aggregation, such as:

• Splunk for log management
• Darktrace for anomaly detection
• IBM Watson for Cyber Security for threat analysis

3. Data Analysis

3.1 Apply Machine Learning Algorithms

Use machine learning algorithms to analyze patterns and detect anomalies in the data.

3.2 Correlate Events

Leverage AI capabilities to correlate events across different data sources to identify potential threats.

3.3 Risk Assessment

Assess the risk level of identified threats using AI models that prioritize threats based on potential impact.

4. Threat Detection

4.1 Automated Alerting

Set up automated alerts for detected threats using AI tools such as:

• CrowdStrike for endpoint protection
• McAfee MVISION for threat detection

4.2 Human Review

Incorporate human expertise to review alerts and validate threat detections.

5. Incident Response

5.1 Develop Response Plans

Create incident response plans that outline steps to take when a threat is confirmed.

5.2 Utilize AI for Response Automation

Implement AI-driven orchestration tools to automate response actions, such as:

• Palo Alto Networks Cortex XSOAR for security orchestration
• ServiceNow Security Incident Response for managing incidents

6. Continuous Improvement

6.1 Post-Incident Analysis

Conduct a post-incident analysis to evaluate the effectiveness of the response and identify areas for improvement.

6.2 Update AI Models

Continuously update AI models based on new threat intelligence and incident learnings to enhance detection capabilities.

6.3 Training and Awareness

Provide ongoing training for security teams on the latest AI tools and threat hunting techniques.