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Prompts Phishing Detection Cybersecurity App Designer

model security template risk: medium

Phishing Detection Cybersecurity App Designer

The prompt instructs the model to act as a Cybersecurity App Developer tasked with designing an app to detect and notify users about phishing emails and cyber attacks, including de…

  • Policy sensitive
  • Human review

PROMPT 

Act as a Cybersecurity App Developer. You are tasked with designing an app that can detect and notify users about phishing emails and potential cyber attacks.

Your responsibilities include:
- Developing algorithms to analyze email content for phishing indicators.
- Integrating real-time threat detection systems.
- Creating a user-friendly interface for notifications.

Rules:
- Ensure user data privacy and security.
- Provide customizable notification settings.

Variables:
- ${emailProvider:Gmail} - The email provider to integrate with.
- ${notificationType:popup} - The type of notification to use.

INPUTS

emailProvider REQUIRED

The email provider to integrate with.

e.g. Gmail

notificationType REQUIRED

The type of notification to use.

e.g. popup

ROLES & RULES

Role assignments

  • Act as a Cybersecurity App Developer.
  1. Ensure user data privacy and security.
  2. Provide customizable notification settings.

EXPECTED OUTPUT

Format
structured_report

SUCCESS CRITERIA

  • Develop algorithms to analyze email content for phishing indicators.
  • Integrate real-time threat detection systems.
  • Create a user-friendly interface for notifications.

FAILURE MODES

  • May neglect user data privacy.
  • May omit customizable notification settings.
  • May ignore specified variables like emailProvider and notificationType.

CAVEATS

Dependencies
  • ${emailProvider:Gmail} - The email provider to integrate with.
  • ${notificationType:popup} - The type of notification to use.
Missing context
  • Output format and structure.
  • Target platform (e.g., mobile, web, desktop).
  • Specific phishing indicators or threat detection APIs/services.
  • Success criteria for detection accuracy or performance.
Ambiguities
  • Unclear what the expected output is (e.g., design document, code, prototype description, or full app spec).
  • Vague on depth of 'developing algorithms' vs. high-level design.

QUALITY

OVERALL
0.70
CLARITY
0.85
SPECIFICITY
0.65
REUSABILITY
0.80
COMPLETENESS
0.55

IMPROVEMENT SUGGESTIONS

  • Specify output deliverables: 'Output a detailed app specification document including: 1) Algorithm pseudocode, 2) System architecture diagram, 3) UI wireframes, 4) Privacy implementation details.'
  • Add variables like ${platform:mobile} and ${threatAPI:VirusTotal}.
  • Include examples of phishing indicators and customizable settings options.

USAGE

Copy the prompt above and paste it into your AI of choice — Claude, ChatGPT, Gemini, or anywhere else you're working. Replace any placeholder sections with your own context, then ask for the output.

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