AI Driven Cybersecurity Workflow for Threat Detection and Response

Cybersecurity Threat Detection and Response

1. Preparation Phase

1.1. Risk Assessment

Conduct a comprehensive risk assessment to identify potential vulnerabilities in AI collaboration tools used within the energy and utilities sector.

1.2. Tool Selection

Choose appropriate AI-driven cybersecurity tools such as:

• Darktrace – an AI-based threat detection platform that utilizes machine learning to identify anomalies.
• CrowdStrike – a cloud-native endpoint protection solution that employs AI to predict and prevent breaches.

2. Detection Phase

2.1. Continuous Monitoring

Implement continuous monitoring systems to detect unusual activity in real-time.

• Utilize AI algorithms to analyze user behavior and flag deviations from normal patterns.

2.2. Threat Intelligence Integration

Integrate threat intelligence feeds to enhance detection capabilities, using tools like:

• Recorded Future – an AI-driven threat intelligence platform that provides insights into emerging threats.

3. Analysis Phase

3.1. Incident Analysis

When a potential threat is detected, utilize AI-driven analytics tools to assess the severity and impact of the incident.

• Splunk – an analytics platform that can correlate data from various sources to provide context to incidents.

3.2. Automated Response Evaluation

Evaluate the effectiveness of automated responses initiated by AI systems, such as:

• IBM Watson for Cyber Security – which can automate responses based on learned behaviors from previous incidents.

4. Response Phase

4.1. Incident Containment

Implement containment strategies using AI tools to isolate affected systems and prevent further damage.

4.2. Remediation Actions

Utilize AI-driven recommendations to execute remediation actions, including:

• Automated patch management tools that leverage AI to prioritize vulnerabilities based on threat levels.

5. Recovery Phase

5.1. System Restoration

Restore affected systems to normal operations, ensuring that all vulnerabilities are addressed before reactivation.

5.2. Post-Incident Review

Conduct a thorough post-incident review to analyze the response effectiveness and update protocols accordingly.

6. Continuous Improvement

6.1. Feedback Loop

Establish a feedback loop where insights gained from incidents inform future risk assessments and tool enhancements.

6.2. Training and Awareness

Provide ongoing training for staff on the latest cybersecurity threats and the proper use of AI collaboration tools.