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About Nightfall AI

Nightfall AI is a security software from Nightfall AI that focuses on data loss prevention. It provides capabilities for data classification, sensitive data discovery, and automated policy enforcement so organizations can protect their sensitive information. Nightfall AI scans various data sources including cloud applications and APIs to identify and manage sensitive data effectively. The platform supports integration with existing workflows, allowing teams to respond quickly to potential data breaches. Key capabilities: data discovery policy enforcement workflow integration incident response risk assessment Best for: enterprises and organizations that need to safeguard sensitive data across multiple environments.

Nightfall AI Details

Vendor
Nightfall AI
Year Launched
2018
Location
San Francisco, CA, United States, California
Deployment
cloud
Training Options
demo, account manager, community
Countries Served
All Countries
Languages
English, Spanish, French, German, Italian
Users
Administrators, Data Analysts, Security Professionals, Compliance Officers, IT Managers, Privacy Officers
Industries Served
Healthcare, Education, Finance, Retail
Tags
Data Collection

Nightfall AI's In-App Market Place

Does Nightfall AI have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), AUD (A$), CAD (C$), JPY (¥), CNY (¥)

Pros & Cons

  • Nightfall's AI-driven detection engine accurately identifies sensitive data
  • Protects data across SaaS apps, email, generative AI apps
  • Monitors and controls the flow of sensitive data to prevent unauthorized sharing or transfers, both accidental and malicious.
  • Identifies and protects "secrets" like API keys and credentials, preventing their exposure and misuse.
  • Automates responses to data leaks and policy violations, reducing manual effort and accelerating incident response.
  • While user-friendly, managing complex DLP policies and integrations might still require expertise.
  • AI Techniques models and techniques used are not detailed, making it difficult to assess their robustness and accuracy in different scenarios.
  • The effectiveness of the platform relies heavily on the quality of the data it analyzes.

Nightfall AI's Support Options

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