Software Alternatives, Accelerators & Startups

Signal Sciences VS Nightfall Developer Platform

Compare Signal Sciences VS Nightfall Developer Platform and see what are their differences

Signal Sciences logo Signal Sciences

Signal Sciences is a software as a service platform providing security monitoring and defense for your web application.

Nightfall Developer Platform logo Nightfall Developer Platform

The Nightfall Developer Platform is a set of APIs to classify & protect sensitive data, like PII and credentials, to prevent data leaks in your app or service.
  • Signal Sciences Landing page
    Landing page //
    2023-07-05
  • Nightfall Developer Platform Landing page
    Landing page //
    2022-03-30

Signal Sciences videos

Web Application Security - NGWAF, RASP, WAF What The Hell's The Difference | Signal Sciences

More videos:

  • Review - Signal Sciences: Lessons learned about the shift to the cloud and DevOps
  • Review - CloudCon 2020 - Signal Sciences Presentation - Phillip Maddux

Nightfall Developer Platform videos

Aaron's scans data in ServiceNow with the Nightfall Developer Platform

Category Popularity

0-100% (relative to Signal Sciences and Nightfall Developer Platform)
Security & Privacy
100 100%
0% 0
APIs
0 0%
100% 100
Security
100 100%
0% 0
Productivity
0 0%
100% 100

User comments

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What are some alternatives?

When comparing Signal Sciences and Nightfall Developer Platform, you can also consider the following products

Pulse Secure - Pulse Secure provides a consolidated offering for access control, SSL VPN, and mobile device security. Contact Pulse Secure at 408-372-9600 to get a free demo.

Acra - No information is available for this page.

StackPath - Secure Content Delivery Network, DDoS, WAF Service

Ketch - Responsive infrastructure for compliance and data security

Flexera Software Vulnerability Manager - Flexera Software Vulnerability Manager provides solutions to continuously track, identify and remediate vulnerable applications.

Nuggets - Payment and ID without sharing personal data