Monitor RCS Spam Reports → Analyze Patterns → Alert Security Team
Automatically track and analyze RCS spam incidents to identify patterns and notify security teams for proactive protection measures.
Workflow Steps
Google Forms
Collect spam reports
Create a form for users to report RCS spam messages with fields for message content, sender info, timestamp, and spam type classification
Google Sheets
Aggregate report data
Set up automatic data collection from Google Forms into a structured spreadsheet with columns for analysis and tracking
OpenAI GPT API
Analyze spam patterns
Use GPT-4 to analyze collected spam data, identify common patterns, sender behaviors, and emerging spam techniques in batches
Zapier
Trigger alerts on patterns
Set up automation to monitor the analysis results and trigger alerts when spam volume exceeds thresholds or new patterns emerge
Slack
Notify security team
Send formatted alerts to a dedicated security channel with spam pattern summaries, affected user counts, and recommended actions
Workflow Flow
Step 1
Google Forms
Collect spam reports
Step 2
Google Sheets
Aggregate report data
Step 3
OpenAI GPT API
Analyze spam patterns
Step 4
Zapier
Trigger alerts on patterns
Step 5
Slack
Notify security team
Why This Works
Combines user reporting with AI pattern analysis to automatically surface spam trends that human reviewers might miss, enabling faster response times
Best For
Telecom companies and app developers need to proactively monitor and respond to RCS spam campaigns affecting their users
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