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. Key Concepts

Scanning Features

PreviousCreating a Webhook ServerNextUsing Pre-Configured Detection Rules

Last updated 10 months ago

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Nightfall offers many useful features beyond its detectors, including:

The ability to use and to narrow the scope of matches.

The ability to create in a way that is highly configurable so that sensitive data is appropriately obfuscated.

The ability to create that determine how leaks of sensitive information should be mitigated (i.e. through alerts sent to email or Slack).

Context Rules
Exclusion Rules
Redactions
Policies