Real Time Threat Intelligence with AI Driven Workflow Solutions

Real-Time Threat Intelligence Analysis

1. Data Collection

1.1 Identify Data Sources

Collect data from various sources such as:

• Internal transaction logs
• External threat intelligence feeds
• Social media monitoring
• Dark web surveillance

1.2 Implement AI-driven Data Aggregation Tools

Utilize tools like:

• Splunk: For log management and analysis.
• IBM QRadar: For security intelligence.

2. Data Processing

2.1 Preprocessing Data

Clean and normalize data using AI algorithms to ensure consistency.

2.2 Threat Detection Algorithms

Employ machine learning techniques to identify anomalies:

• TensorFlow: For building custom threat detection models.
• Darktrace: For self-learning AI that identifies deviations in user behavior.

3. Threat Analysis

3.1 Contextualization of Threats

Use AI to correlate detected threats with historical data to assess risk levels.

3.2 Risk Scoring

Implement risk scoring models to prioritize threats based on potential impact.

• RiskIQ: For threat intelligence and risk assessment.

4. Response Coordination

4.1 Automated Response Systems

Leverage AI to automate responses to identified threats:

• Cylance: For proactive endpoint protection.
• Phantom: For security orchestration and automated incident response.

4.2 Manual Review and Escalation

Establish protocols for human analysts to review high-risk threats and escalate as necessary.

5. Continuous Improvement

5.1 Feedback Loop

Integrate feedback from incident responses to refine AI models and improve detection capabilities.

5.2 Regular Updates and Training

Ensure AI models are regularly updated with new threat data and trained on emerging patterns.

• Microsoft Azure Sentinel: For continuous monitoring and improvement of security posture.

6. Reporting and Compliance

6.1 Generate Reports

Automate the generation of compliance reports using AI tools to ensure adherence to regulatory standards.

6.2 Stakeholder Communication

Utilize dashboards and visualizations to communicate threat intelligence findings to stakeholders.

• Tableau: For data visualization and reporting.