Why This Matters
The existence of this collection — with over 30,000 lines of system prompts from 30+ major AI tools — proves an important point: AI system prompts can be extracted and analyzed. For AI startups and companies building AI-powered products, this represents a significant security consideration.Risks of Exposed Prompts
Intellectual Property Theft
Your system prompts often contain:Proprietary Logic
The unique reasoning patterns and decision-making processes that differentiate your product
Business Rules
Internal policies, pricing logic, and operational procedures embedded in instructions
Training Insights
Lessons learned from extensive testing and iteration that competitors can copy
Feature Roadmap
Hints about upcoming features or capabilities revealed through prompt structure
Security Vulnerabilities
Exposed prompts can reveal:System Architecture
System Architecture
How your AI system is structured, including:
- Internal tool names and functions
- Database schema hints
- API endpoint patterns
- Integration points with other services
Safety Constraints
Safety Constraints
Once attackers know your safety guardrails, they can:
- Craft inputs specifically designed to bypass them
- Exploit edge cases in your filtering logic
- Find gaps in your content moderation
Access Controls
Access Controls
Prompts might inadvertently expose:
- Authentication mechanisms
- Permission hierarchies
- Administrative capabilities
- Internal role definitions
Data Handling
Data Handling
Information about:
- What data your AI can access
- How it processes sensitive information
- Where it stores or logs data
- Data retention policies
Competitive Disadvantage
When competitors can see your prompts:- They can replicate your AI’s behavior and capabilities
- They understand your product’s strengths and weaknesses
- They can optimize against your known limitations
- They can launch faster by learning from your iterations
How Prompts Get Exposed
Prompts can be extracted through:- Prompt Injection
- Client-Side Exposure
- Model Behavior Analysis
Attackers craft inputs that trick the AI into revealing its instructions:Even sophisticated systems can be vulnerable to clever variations of these attacks.
Protecting Your AI System
Audit Your Exposure
Identify where your prompts and system instructions might be vulnerable:
- Are prompts sent to the client?
- How resilient is your system to prompt injection?
- What information do your prompts reveal?
- Are there any “hidden” administrative commands?
Implement Strong Isolation
- Keep sensitive prompts server-side only
- Use separate prompts for different privilege levels
- Implement request validation before prompt processing
- Monitor for extraction attempts
Design Defense-in-Depth
Don’t rely solely on prompts for security:
- Implement proper authentication and authorization
- Use backend validation for sensitive operations
- Apply rate limiting and anomaly detection
- Separate business logic from AI instructions
ZeroLeaks Partnership
Professional AI Security Audit
The AI System Prompts Collection has partnered with ZeroLeaks, a specialized service for identifying and securing leaks in AI systems.
What ZeroLeaks Offers
ZeroLeaks specializes in helping AI startups and companies:Vulnerability Assessment
Comprehensive testing to find prompt injection vulnerabilities and information leaks
System Audit
Analysis of your AI architecture to identify exposure points and security gaps
Prompt Hardening
Recommendations for making your system prompts more resilient to extraction and exploitation
Ongoing Monitoring
Continuous monitoring for new vulnerabilities and attack patterns
Free AI Security Audit
AI startups can get a free initial security audit from ZeroLeaks to understand their exposure level and receive actionable recommendations.
- Visit zeroleaks.ai
- Describe your AI product and concerns
- Schedule a consultation with their security team
Best Practices for AI Startups
Prompt Design
Minimize Sensitive Info
Keep business logic, credentials, and internal details out of prompts when possible
Use Indirection
Reference tools and capabilities by abstract names rather than revealing implementation
Layer Security
Don’t rely on prompts alone for access control or security enforcement
Regular Rotation
Update prompts periodically to invalidate extracted versions
System Architecture
Responsible Disclosure
If you discover a security vulnerability in an AI system:Contact the Vendor
Reach out to the company’s security team (usually [email protected]) before public disclosure
Give Time to Fix
Allow 90 days for the vendor to address the issue before considering public disclosure
For Researchers
If you’re studying AI security:- This collection provides valuable data for understanding real-world AI systems
- Use it to develop better security practices and mitigation techniques
- Publish your findings to help the entire industry improve
- Consider coordinating with ZeroLeaks on responsible disclosure
Stay Informed
AI security is a rapidly evolving field. Stay updated:- Follow AI security researchers on X/Twitter
- Join security-focused Discord communities
- Monitor advisories from AI companies
- Test your own systems regularly
Get Security Audit
Request a free AI security assessment from ZeroLeaks
Report Vulnerability
Found an issue? Report it responsibly