Protecting Your AI Applications
Trylon's policies act as intelligent filters for your AI interactions, ensuring your application remains secure, compliant, and trustworthy. Think of them as guardrails that automatically detect and handle potential risks.
How Policies Work
Understanding the intelligence behind our security system
Each policy uses advanced AI models trained to recognize specific patterns and risks. Unlike simple keyword filters, our policies understand context and adapt to different scenarios. Here's what they can protect against:
Personal Data Protection
Automatically detects and redacts sensitive information like credit cards, SSNs, and addresses. Example: '4532 **** **** 1234'
Content Guidelines
Ensures responses stay within appropriate bounds. Example: Preventing harmful advice or inappropriate content
Prompt Injection Defense
Prevents attackers from manipulating your AI system. Example: Blocking attempts to override system instructions
Hallucination Prevention
Ensures AI responses are grounded in provided context. Example: Flagging when responses contradict your data
Choose Your Protection Level
Two powerful modes to match your needs
Override Mode (Strict Protection)
Automatically blocks and replaces risky content. Like a security guard that stops threats before they reach your users.
Real-world examples:
- Banking app protecting customer financial data
- Healthcare chatbot maintaining HIPAA compliance
- Enterprise system safeguarding company secrets
- Customer service ensuring privacy standards
Observe Mode (Silent Monitoring)
Monitors and logs potential issues without interrupting the flow. Like a security camera that records but doesn't intervene.
Perfect for:
- Testing new AI features in development
- Understanding your application's risk profile
- Training period for new policy configurations
- Low-risk environments prioritizing user experience
Easy Setup & Configuration
Customize protection to match your needs
Protection Level
Choose between strict blocking (Override) or silent monitoring (Observe)
- Example: Override for customer data, Observe for internal tools
Custom Messages
Set your own replacement text for blocked content
- Example: 'This content has been filtered for security reasons'
Scope Control
Decide what to check: user inputs, AI outputs, or both
- Example: Check AI outputs only during testing
Policy Combinations
Stack multiple policies for comprehensive protection
- Example: PII + Content Safety for customer service
Ready to secure your AI?
Start with exploring our projects documentation.