Intelligent Phishing Email Analysis with AI Integration Workflow

Intelligent Phishing Email Analysis and Mitigation

1. Email Ingestion

1.1. Collection of Incoming Emails

Utilize an email gateway solution to collect all incoming emails for analysis.

1.2. Pre-Filtering

Implement a pre-filtering mechanism using AI-driven tools like Proofpoint or Mimecast to identify potential phishing emails based on known threat signatures.

2. AI-Powered Analysis

2.1. Content Analysis

Employ natural language processing (NLP) algorithms to analyze email content. Tools such as Microsoft Azure Text Analytics can be used to detect suspicious language patterns commonly associated with phishing.

2.2. URL and Attachment Scanning

Utilize AI-based URL and attachment scanning tools like URLScan.io and VirusTotal to assess the safety of links and attachments in the email.

3. Threat Scoring

3.1. Risk Assessment

Implement machine learning models to assign a threat score to each email based on various factors, including sender reputation, content analysis, and historical data.

3.2. Decision Making

Establish thresholds for threat scores to categorize emails as safe, suspicious, or malicious.

4. Mitigation Strategies

4.1. Automated Response

For emails categorized as malicious, deploy automated response systems using tools like PhishMe to quarantine or delete the email before it reaches the user’s inbox.

4.2. User Awareness Training

Implement continuous user education programs using platforms like KnowBe4 to train employees on recognizing phishing attempts.

5. Post-Incident Analysis

5.1. Incident Reporting

Utilize incident response management tools such as ServiceNow to document and report phishing incidents for future reference.

5.2. Feedback Loop

Analyze the effectiveness of the phishing detection and mitigation strategies using AI analytics tools to continuously improve the system.

6. Continuous Improvement

6.1. Model Retraining

Regularly retrain machine learning models with new phishing data to enhance detection capabilities.

6.2. Tool Evaluation

Periodically assess the performance of AI-driven tools and update them as necessary to adapt to evolving phishing tactics.