Protect Agents AgainstPrompt Injection
How It Works
Multi-layered protection combining fast code checks with advanced AI detection
Code-Based Checks
- Fast and accurate detection of threats
- Identifies common malicious techniques
- Immediate response to suspicious patterns
AI Model Detection
- Deep learning analysis of attack patterns
- Sophisticated content analysis
- Continuous learning and adaptation
Customized Protection
- Tailored to your specific AI system
- Adapts to unique requirements
- Custom threat landscape protection
- Superior coverage over generic solutions
Protection Highlights
Easy Integration
Protect your AI applications with just a few lines of code
Simple Setup
Integrate with any LLM platform in minutes with our Python SDK
Flexible API
Customize security rules and scanning parameters to your needs
Real-time Protection
Instant prompt validation to prevent malicious inputs in real-time
Attack Example: Loan Application
How attackers can manipulate AI systems through hidden website content
The Loan Approval Agent
This example features an AI agent designed to automate B2B loan approvals. The agent:
- Reviews loan applications from businesses
- Fetches and analyzes company websites for verification
- Assesses business credibility and financial health
- Makes automated approval decisions based on collected data
The agent's reliance on website content for verification creates a vulnerability that attackers can exploit.
Loan Application Submission
Attacker submits a loan application with a link to their company website. The website appears legitimate but contains hidden malicious content.
AI Agent Verification
The AI loan approval agent visits the website to gather additional context about the company and verify their business details.
Hidden Content Delivery
The website returns content with hidden elements that are invisible to humans but processed by the AI:
AI Manipulation
Agent processes all input data giving attackers a surface to target. By including hidden content in the website, attackers can attempt to manipulate the agent's decision-making process.
How BuraProtect Prevents This
BuraProtect is able to scan inputs to your agent detecting attempts to manipulate.