Secure Your AI Agents

Protect your GenAI systems from prompt injection and jailbreak attacks with simple, effective security.

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Why Proventra?

Simple Security

Easy-to-implement protection for your AI agents and sensitive data

  • Simple integration
  • Framework agnostic

Instant Protection

Fast threat detection with minimal impact on your AI performance

Model Flexibility

Switch between any LLM provider while maintaining security

Simple LLM Security Integration

1

Add Our API

Integrate our API into your AI agents with just a few lines of code. Works with any LLM or AI framework.

from proventra import guard
2

We Analyze

Our system checks each prompt for potential security risks and injection attempts that could compromise your AI agents.

3

Automatic Protection

Threats are automatically blocked and logged, with detailed analytics and alerts for your security team.

proventra_security.py
Python
import requests
from typing import Dict, Any

def analyze_prompt(prompt: str, api_key: str) -> Dict[str, Any]:
    try:
        response = requests.post(
            "https://api.proventra-ai.com/analyze",
            headers={"Authorization": f"Bearer {api_key}"},
            json={"prompt": prompt},
            timeout=5  # 5 second timeout
        )
        response.raise_for_status()
        return response.json()
    except requests.exceptions.RequestException as e:
        raise ConnectionError(f"Failed to analyze prompt: {e}")

# Usage
result = analyze_prompt("user_input", "YOUR_API_KEY")
if not result['safe']:
    print(f"Security alert: {result['threat_details']}")

AI Agents are Vulnerable

Every AI agent is a potential target. Protect your systems from these critical security risks.

Data Leakage

Your sensitive data at risk

Malicious users can craft prompts to extract confidential information from your AI agents, including:

  • Internal documents
  • Customer data
  • Business secrets

System Hijacking

Control compromised

Attackers can manipulate your AI to:

  • Bypass security controls
  • Perform unauthorized actions
  • Access restricted features

Safety Bypass

Guardrails defeated

AI systems can be tricked into:

  • Ignoring safety measures
  • Breaking content policies
  • Generating harmful content

Supply Chain Attacks

External vulnerabilities

Connected AI agents can expose:

  • Third-party service access
  • API credentials
  • Integration weaknesses

FAQ

What is prompt injection in AI systems?

Prompt injection is a security vulnerability where malicious users manipulate an AI agent by inserting commands or instructions within their input that can override the system's intended behavior. This can lead to data leaks, harmful content generation, or bypassing safety measures. Attackers might use techniques like inserting 'ignore previous instructions' to manipulate the AI's responses.

How is a jailbreak attack different from prompt injection?

While prompt injection typically involves inserting commands to manipulate AI behavior, jailbreak attacks specifically aim to bypass an AI's built-in safety guardrails and content policies. Jailbreaks often use creative scenarios, role-playing, or specialized formatting to trick the AI into generating content it's designed to refuse. Proventra protects against both types of attacks with specialized detection mechanisms.

Can I switch between different LLM providers while maintaining security?

Absolutely. One of Proventra's key advantages is that our security layer works independently of your chosen LLM provider. You can switch between OpenAI, Anthropic, Google, or any other model provider without reconfiguring your security setup. This gives you the freedom to use the best model for each use case or switch providers as the market evolves, all while maintaining consistent security protection against prompt injection and jailbreak attacks.

How does Proventra protect against these attacks?

Proventra uses pattern recognition and contextual analysis to identify both prompt injection and jailbreak attempts. Our system analyzes each prompt in real-time, detecting techniques like instruction obfuscation, role-playing scenarios, command insertion, and other methods used to manipulate AI systems or bypass their guardrails.

Will integrating Proventra slow down my AI application?

Proventra is designed with performance in mind. Our API adds minimal latency to your request pipeline while providing robust security protection. We've optimized our algorithms to ensure your AI application remains responsive.

What types of AI models does Proventra work with?

Proventra works with all major language models and AI agents including OpenAI's GPT models, Anthropic's Claude, Meta's Llama, Google's Gemini, and custom or fine-tuned models. Our solution is model-agnostic and integrates with any text-based AI system.

How does Proventra handle false positives?

Our detection system is designed to minimize false positives while maintaining high security standards. The API provides confidence scores with each analysis, allowing you to set custom thresholds. You can also review flagged prompts and adjust security settings as needed.

Can Proventra be customized for specific requirements?

Yes, Proventra can be customized for different industries like healthcare, finance, education, and customer service. We can tailor our security rules to your specific use case and risk tolerance levels.

Ready to secure your AI agents?

Get in touch to learn more about how Proventra can help protect your AI agents and systems.

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