Monitor compliance with GPT-4 analysis of system logs and generate audit reports
How It Works
This solution centralizes communication data from Slack, Microsoft Teams, Gmail, and GitHub into a unified AI-powered analysis and documentation workflow for teams managing distributed knowledge. Manual aggregation across multiple tools is time-consuming and leads to information silos that obscure key decisions and context. By automating secure data collection and normalization, the workflow enables AI models to analyze conversations, extract decisions, action items, and key themes, and convert these insights into continuously updated documentation such as design notes and knowledge base articles. This improves visibility, preserves organizational knowledge, and supports more effective collaboration and decision-making.
Setup Steps
- Connect credentials: Slack App API, Microsoft Teams credentials, Gmail OAuth, GitHub Personal Access Token, Anthropic API key
- Configure monitoring parameters: Specify channels, repositories, and email labels to track
- **Set schedule triggers:
Prerequisites
Slack workspace admin, Teams account, Gmail account, GitHub repository access, Anthropic API subscription, Notion workspace, n8n self-hosted or cloud instance.
Use Cases
Marketing teams aggregating customer feedback across channels; Documentation teams collecting technical updates;
Customization
Modify source integrations by adding/removing trigger nodes. Adjust AI prompts in Anthropic node for different analysis types.
Benefits
Saves 5+ hours weekly on manual data collection. Ensures no communication missed across platforms.
Monitor Compliance with GPT-4 Analysis of System Logs and Generate Audit Reports
This n8n workflow automates the process of monitoring system logs for compliance, analyzing them using an AI agent (GPT-4), and generating audit reports. It simplifies the task of regularly checking system activity against compliance policies and provides actionable insights via email.
What it does
- Schedules Execution: The workflow is triggered on a predefined schedule (e.g., daily, weekly) to initiate the compliance check.
- Fetches System Logs: It makes an HTTP request to retrieve system logs from a specified endpoint.
- Analyzes Logs with AI: An AI Agent (configured with an OpenAI Chat Model) processes the fetched logs to identify potential compliance issues based on a defined prompt.
- Parses AI Output: The AI's response is parsed using a Structured Output Parser to extract relevant compliance findings and recommendations in a structured format.
- Aggregates Data: The parsed compliance findings are aggregated into a single report.
- Formats Audit Report: The aggregated data is then formatted into a readable audit report.
- Conditional Emailing: It checks if any compliance issues were found.
- If issues are found: An email containing the detailed audit report is sent to a designated recipient.
- If no issues are found: A "No Issues Found" email is sent, or no email is sent depending on configuration.
Prerequisites/Requirements
- n8n Instance: A running n8n instance.
- OpenAI API Key: Required for the OpenAI Chat Model to analyze logs.
- System Log Endpoint: An accessible HTTP endpoint that provides system logs.
- Gmail Account: Configured as a credential in n8n to send audit reports.
Setup/Usage
- Import the Workflow:
- Download the provided JSON file.
- In your n8n instance, go to "Workflows" and click "New".
- Click the "Import from JSON" button and paste the workflow JSON or upload the file.
- Configure Credentials:
- OpenAI Chat Model (ID: 1153):
- Click on the "OpenAI Chat Model" node.
- Select or create a new "OpenAI API" credential. Enter your OpenAI API Key.
- Gmail (ID: 356):
- Click on the "Gmail" node.
- Select or create a new "Gmail API" credential. Authenticate with your Google account.
- OpenAI Chat Model (ID: 1153):
- Configure Nodes:
- Schedule Trigger (ID: 839): Adjust the schedule as needed (e.g., daily, hourly, weekly).
- HTTP Request (ID: 19):
- Set the
URLto your system log endpoint. - Configure any necessary
HeadersorAuthenticationfor your log API.
- Set the
- AI Agent (ID: 1119):
- Review and adjust the
Promptto guide the AI on what compliance aspects to look for in the system logs. Ensure it clearly defines what constitutes a compliance issue and what information should be extracted for the audit report.
- Review and adjust the
- Structured Output Parser (ID: 1179):
- Define the expected
Schemafor the AI's output. This should match the structure you expect the AI to return (e.g., JSON with fields likecomplianceIssues,recommendations,severity).
- Define the expected
- Edit Fields (Set) (ID: 38):
- Adjust the fields to include/exclude for the final audit report as needed.
- If (ID: 20):
- Modify the
Conditionsto accurately check for the presence of compliance issues in the AI's parsed output.
- Modify the
- Gmail (ID: 356):
- Set the
Toemail address for the audit reports. - Customize the
SubjectandBodyof the emails for both the "True" (issues found) and "False" (no issues) branches.
- Set the
- Activate the Workflow: Once configured, activate the workflow by toggling the "Active" switch in the top right corner of the n8n editor.
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