Nightfall Ai is a leading provider of data loss prevention solutions that leverage artificial intelligence to protect sensitive data across platforms.
Enhance your data security with AI agents that can automatically monitor, classify, and respond to potential data breaches.
Nightfall Ai provides enterprise-grade data loss prevention and classification. Relevance AI transforms these capabilities into intelligent AI agents that can automatically detect, respond to, and prevent data security threats.
Proactive Threat Detection
The agent continuously monitors data flows, identifying potential threats before they escalate.
Rapid Incident Response
Initiates predefined workflows to address data breaches swiftly, minimizing potential damage.
Enhanced Data Visibility
Provides comprehensive insights into data landscapes, empowering informed decision-making.
Relevance AI gives you access to Nightfall Ai's data protection capabilities within your AI agent workflows.
What you’ll need
You don't need to be a developer to set up this integration. Follow this simple guide to get started:
- A Nightfall AI account
- A Relevance AI account with access to your workspace and datasets
- Authorization (you'll connect securely using OAuth—no sensitive info stored manually)
Security & Reliability
The integration leverages secure OAuth authentication to protect sensitive data scanning through Nightfall AI's detection engine, while Relevance AI manages API operations seamlessly in the background. Built-in data validation and automated content classification ensure your workflows maintain compliance and accuracy across varying data formats.
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.
Best Practices for Non-Technical Users
To get the most out of the Nightfall AI + Relevance AI integration without writing code:
- Configure detection rules: Set up precise scanning policies in Nightfall AI for accurate data detection.
- Optimize API calls: Batch your requests when scanning multiple items to improve performance.
- Handle responses properly: Implement proper error handling for API responses and detection results.
- Monitor usage: Keep track of API quotas and scanning limits to prevent service interruptions.
- Validate data: Ensure input data meets format requirements before sending to either service.
