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Using the Zepli AI Interface

A complete guide to natural language queries, automated vulnerability analysis, and AI-driven intelligence generation.

Overview

Zepli's AI Interface translates plain-language questions into complex search queries across global network telemetry, business registries, and identity records. It synthesizes raw data into structured threat reports, highlights potential exposure vectors, and suggests follow-up actions.

Step-by-Step Usage Instructions

  1. Open the AI Assistant: Select the "AI Interface" tab or press the AI prompt shortcut from any search page.
  2. Enter a Natural Language Query: Type what you are looking for in plain English (e.g., "Find all exposed database servers in France with default configurations" or "Summarize security risks for example.com").
  3. Review Generated Queries: The AI converts your prompt into Zepli's native search syntax, allowing you to review or adjust the underlying filters before execution.
  4. Analyze AI Insights: Read the generated summary breakdown, risk severity ratings, and automated correlation notes alongside raw search results.

Key Capabilities

  • Natural Language to Query Translation: Automatically constructs complex boolean queries without needing exact syntax knowledge.
  • Automated Risk Summarization: Distills DNS records and breach data into a concise executive summary.
  • Contextual Recommendations: Suggests specific remediation steps or secondary searches based on discovered assets.
  • Interactive Deep-Dives: Ask follow-up questions directly against any search result set to drill down into specific subnets or threat vectors.

Prompting Best Practices

  • Be Specific with Scope: Include targeting details like geographic region, software vendor, or organization name in your prompt.
  • Specify Output Format: Request specific formats when needed (e.g., "List results as bullet points grouped by severity").
  • Validate Technical Data: Always double-check generated technical syntax or IP lists against original raw logs for critical reporting.