How I Built a Prompt Injection Detection API with 42 Patterns (and What I Learned)

📰 Dev.to · Jörg Michno

Learn how to build a prompt injection detection API with 42 patterns to protect against AI attacks

advanced Published 11 Mar 2026
Action Steps
  1. Build a prompt injection detection API using pattern recognition
  2. Implement 42 patterns to detect various types of attacks
  3. Configure the API to integrate with existing AI systems
  4. Test the API with sample prompts to evaluate its effectiveness
  5. Apply the API to real-world scenarios to prevent prompt injection attacks
Who Needs to Know This

Developers and cybersecurity teams can benefit from this knowledge to enhance their AI security measures and prevent prompt injection attacks

Key Insight

💡 Using pattern recognition with 42 patterns can effectively detect prompt injection attacks

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🚨 Protect your AI systems from prompt injection attacks with ClawGuard Shield API 🚨

Key Takeaways

Learn how to build a prompt injection detection API with 42 patterns to protect against AI attacks

Full Article

Last month I built ClawGuard Shield — a free API that detects prompt injection attacks using pattern...
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