Integrations

Supercharge Google Safe Browsing with Relevance AI

Google Safe Browsing is a service that checks URLs against a comprehensive database of unsafe web resources to protect applications from malware and phishing. With Relevance AI, you can enhance this protection by automating threat detection and response, ensuring a safer user experience.

Give your AI Agents Google Safe Browsing Superpowers

Google Safe Browsing provides real-time protection against web threats, while Relevance AI empowers your applications with intelligent monitoring and proactive threat detection through AI Agents.

Proactive Threat Shield

The agent autonomously identifies and blocks malicious URLs before they can pose risks to users or systems.

Real-time Security Orchestration

Continuous monitoring and instant verification of URLs enables dynamic security responses within automated workflows.

Intelligent Risk Assessment

Advanced pattern recognition combined with Google's threat intelligence creates sophisticated security analysis capabilities.

Tools

Equip AI Agents with the Google Safe Browsing Tools they need

Relevance AI seamlessly integrates Google Safe Browsing into your workflows, enhancing security measures across your applications.

Google Safe Browsing - Get Threat List Updates
Retrieves updates to Google's threat lists, allowing applications to maintain current information about potentially unsafe web resources and malicious URLs
Google Safe Browsing - Check URL Safety
Evaluates specified URLs against Google's security databases to determine if they are potentially unsafe or contain malicious content
Google Safe Browsing - Check URL Safety
Evaluates specified URLs against Google's security databases to determine if they are potentially unsafe or contain malicious content
Name
Google Safe Browsing API Call
Description
Make an authorized request to a Google Safe Browsing API
Parameters
["OAuth account authentication", "HTTP method selection (GET, POST, PUT, DELETE, PATCH)", "Custom request headers", "Request body configuration", "API endpoint path customization"]
Use Case
An e-commerce platform uses Google Safe Browsing API to automatically scan incoming product URLs for malware and phishing threats, protecting customers from malicious listings. The integration enables real-time security checks before product pages go live, maintaining marketplace safety.

Security & Reliability

The Google Safe Browsing integration utilizes secure OAuth authentication, ensuring that only authorized applications can access Google's extensive database of unsafe web resources. Relevance AI manages API operations (like POST requests for checking URL safety and retrieving threat list updates) seamlessly in the background—eliminating concerns about errors, formatting, or rate limits.

With built-in validation and type conversion, your applications can efficiently check URLs for potential security threats, retrieve updates, and make custom API calls, all while maintaining real-time protection against malware and phishing attacks.

No training on your data

Your data remains private and is never utilized for model training purposes.

Security first

We never store anything we don’t need to. The inputs or outputs of your tools are never stored.

Get Started

Best Practices for Non-Technical Users

To get the most out of the Google Safe Browsing + Relevance AI integration without writing code:
  • Start with a valid API key: Ensure you have a Google Cloud Platform account and a valid Safe Browsing API key to access the service.
  • Use proper OAuth credentials: Configure OAuth 2.0 credentials with the necessary permissions to avoid authentication issues.
  • Check URLs in batches: Process multiple URLs at once to optimize API calls and reduce the risk of hitting rate limits.
  • Implement error handling: Use try-catch blocks to manage errors gracefully and implement exponential backoff for rate limiting responses.
  • Cache responses: Store results of URL checks to minimize redundant API calls and improve performance.