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.
To get the most out of the 0CodeKit + Relevance AI integration without writing code:
- Start with a clear setup: Ensure your 0CodeKit account is properly configured with the necessary OAuth credentials and permissions.
- Utilize example code: Leverage the provided code snippets for PDF compression and barcode reading to jumpstart your integration.
- Validate inputs: Always check your input parameters for correctness before making API calls to avoid unnecessary errors.
- Test with sample data: Run your automations using test PDFs and images to ensure everything works smoothly before going live.
- Monitor API usage: Keep an eye on your API calls to avoid hitting rate limits, and implement caching where appropriate.
