Bot Mitigation for Web Applications | ShieldSquare

Traditional security measures and firewalls work on a predefined set of rules. It is difficult for conventional security solutions to track sophisticated bots that are continuously changing their behavior and shifting through IPs to access web applications. ShieldSquare bot mitigation solution applies advanced machine learning algorithms combined with device and browser fingerprinting to protect your web applications against human-like bots.

Protecting Over 80,000 Internet Properties Across Industries

Real-Time Bot Management

  • ShieldSquare with its purpose-built bot detection engine and contextual threat intelligence ensures accurate classification of traffic such as genuine users, good bots (search engine crawlers, partner bots, etc.) and bad bots. We filter and block bad bots before they infiltrate into your web applications.
  • ShieldSquare also allows you to whitelist trusted sources based on IP, URL, and subnet mask.

Intent Behind Attacks

  • Uncovering the intent behind automated attacks is crucial to understand the nature and complexity of attacks. It also helps in applying requisite measures to avert any damage to your web applications.
  • Built on semi-supervised machine learning models, ShieldSquare’s proprietary Intent-based Deep Behavior Analysis (IDBA) helps identify the intent behind attacks and proactively stop automated attacks.

Speed and Scale

  • ShieldSquare processes tens of billions of API calls every month from over 80,000 internet properties spread across 70 countries. Threat intelligence gathered from processing these API calls helps us build an extensive database of bot fingerprints. We utilize the collective bot intelligence to proactively prevent large-scale attacks across our customer base.
  • With endpoints across the globe and expertise of processing enormous data in real-time, ShieldSquare can limit the latency to the tune of one millisecond.

Protection Modes

  • ShieldSquare can be operated in two modes: monitor and active. Active mode allows you to take action against bots in real-time. ShieldSquare also offers feed-based protection to take actions against bad bots at CDN/WAF level.
  • In monitor mode, you get a detailed report on the type of bot traffic and visibility into various bot activities on your website. Unlike Active Mode, you would not be able to take action against bots.

Reporting, Analytics, & Management

  • ShieldSquare offers a transparent classification of invalid traffic (bots) and provides you with comprehensive insights into bot traffic of your web applications. You can track automated activity based on user agents, geos, referrers, and page attacked. Advanced analytics reveals deeper understanding into specific characteristics of the malicious traffic.
  • ShieldSquare allows you to manage multiple domains from single console. You can monitor bot activities across all the domains owned by your organization and can take actions against bots in real-time.

Easy Integration

  • ShieldSquare offers a range of integration options including JS tag, web server plugin, cloud connectors, virtual appliance, and CMS plugin. You can also integrate our solution through AWS CloudFront, and Fastly Plugin.
  • Integration of our solution into existing infrastructure requires minimal code changes without DNS redirection.
  • ShieldSquare bot mitigation for web can be seamlessly integrated with major analytics platform including Adobe and Google. You can also integrate ShieldSquare bot mitigation solution with any tag manager including Google Tag Manager.

Know More About Our Solution, Technology, and Integration Options

Are your web applications deluged by bad bot traffic? Choose ShieldSquare bot mitigation. Learn how it works.

We apply collection of advanced invalid traffic (IVT) detection technologies based on fingerprinting, behavioral modeling, threat intelligence and semi-supervised machine learning models to eliminate bad bots. Learn more about our technology.

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Bots directly attack your APIs to exploit vulnerabilities. They also target APIs to bypass web and mobile applications. It’s important to differentiate between ‘good’ API calls and ‘bad’ API calls. Learn more

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