Nightfall Documentation
  • Sensitive Data Protection
  • Data Security Posture Management
  • Data Exfiltration Prevention
  • Data Encryption
  • Firewall for AI
  • Welcome
  • Introduction to Firewall for AI
    • Overview
    • Quickstart
    • Use Cases
    • Authentication and Security
  • Key Concepts
    • Entities and Terms to Know
    • Setting Up Nightfall
      • Creating API Key
      • Creating Detectors
      • Creating Detection Rules
      • Creating Policies
    • Alerting
    • Scanning Text
    • Scanning Files
      • Supported File Types
      • File Scanning and Webhooks
      • Uploading and Scanning API Calls
      • Special File Types
      • Specialized File Detectors
      • Webhooks and Asynchronous Notifications
        • Accessing Your Webhook Signing Key
        • Creating a Webhook Server
    • Scanning Features
      • Using Pre-Configured Detection Rules
        • Scanning Images for patterns using Custom Regex Detectors
      • Creating an Inline Detection Rule
      • Using Exclusion Rules
      • Using Context Rules
      • Using Redaction
      • Using Policies to Send Alerts
      • Detecting Secrets
      • PHI Detection Rules
    • Detector Glossary
    • Test Datasets
    • Errors
    • Nightfall Playground
  • Nightfall APIs
    • DLP APIs - Firewall for AI Platform
      • Scan Plain Text
      • Initiate File Upload
      • Upload File Chunk
      • Complete File Upload
      • Scan Uploaded File
      • Rate Limits for Firewall APIs
    • DLP APIs - Native SaaS Apps
      • Fetch Violations
      • Fetch Violations by ID
      • Search Violations
      • Fetch Violation Findings
      • Take Action on Violations
      • Fetch Annotations
      • Annotate Findings
      • Remove Annotation Findings
      • Fetch GitHub Repositories
      • Policy User Scope Update API
      • Rate Limits for Native SaaS app APIs
  • Nightfall Software Development Kit (SDK)
    • Overview
    • Java SDK
    • Python SDK
    • Go SDK
    • Node.JS SDK
  • Language Specific Guides
    • Overview
    • Python
    • Ruby
    • Java
  • Tutorials
    • GenAI Protection
      • OpenAI Prompt Sanitization Tutorial
      • Anthropic Prompt Sanitization Tutorial
      • LangChain Prompt Sanitization Tutorial
    • SaaS Protection
      • HubSpot DLP Tutorial
      • Zendesk DLP Tutorial
    • Observability Protection
      • Datadog DLP Tutorial
      • New Relic DLP Tutorial
    • Datastore Protection
      • Airtable DLP Tutorial
      • Amazon Kinesis DLP Tutorial
      • Amazon RDS DLP Tutorial
      • Amazon RDS DLP Tutorial - Full Scan
      • Amazon S3 DLP Tutorial
      • Elasticsearch DLP Tutorial
      • Snowflake DLP Tutorial
  • Nightfall Use Cases
    • Overview
    • GenAI Content Filtering-How to prevent exposure of sensitive data
    • Redacting Sensitive Data in 4 Lines of Code
    • Detecting Sensitive Data in SMS Automations
    • Building Endpoint DLP to Detect PII on Your Machine in Real-Time
    • Deploy a File Scanner for Sensitive Data in 40 Lines of Code
    • Using Scan API (with Python)
  • FAQs
    • What Can I do with the Firewall for AI
    • How quickly can I get started with Firewall for AI?
    • What types of data can I scan with API?
    • What types of detectors are supported out of the box?
    • Can I customize or bring my own detectors?
    • What is the pricing model?
    • How do I know my data is secure?
    • How do I get in touch with you?
    • Can I test out the detection and my own detection rules before writing any code?
    • How does Nightfall support custom data types?
    • How does Nightfall's Firewall for AI differs from other solutions?
  • Nightfall Playground
  • Login to Nightfall
  • Contact Us
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  1. Nightfall APIs

DLP APIs - Firewall for AI Platform

Firewall for AI DLP APIs enables developers to write custom code to sanitize data anywhere–RAG data sets, analytics data stores, data pipelines, and unsupported SaaS applications.

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Last updated 9 months ago

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