NOMINATION HIGHLIGHTS

Preventing API abuse requires a multi-layered approach, including proactive monitoring, access control, rate limiting, and threat detection. It differs from traditional approaches in that it requires a deeper understanding of API usage patterns and user behavior, as well as the ability to quickly respond to emerging threats through automated mitigation and real-time analytics.

The Wallarm API Abuse Prevention module provides comprehensive real-time protection against detrimental automated behaviors, which threaten to overwhelm your operations and defenses.

Wallarm detects and protects against a variety of API threats:

-Account Takeover: Malicious actors gain unauthorized access to an account, for example, via credential stuffing, which can lead to severe consequences such as identity theft, financial losses, and reputational damage.

-Scanning and Scraping: Automated scripts probe or scrape data from your API, often with malicious intent, which can lead to downtime, data breaches, and unauthorized data access, resulting in theft of IP or sensitive end-user data.

-L7 API DoS Attacks: Layer-7 DoS attacks target your API at the application layer, overwhelming it with a high volume of API requests, which could lead to the app being unavailable to your users and the loss of their trust and business.

Key benefits of Wallarm’s API Abuse Prevention include:

-Purpose-Built for APIs: APIs are designed to be open, so protecting them from abuse is a subtle balance involving access vs. protection. We allow you to assemble detectors and thresholds to customize protections appropriate for your API estate.

-Detection & Protection: Guard against a blindspot in your API defenses by recognizing and differentiating between legitimate vs. malicious automated behaviors, and blocking those likely to cause harm based on your unique scenarios.

-Session Blocking: Wallarm provides full transparency into the sessions in which API abuse occurred. Users are able to view the full API interaction, and to block individual malicious API sessions.

Wallarm also uses specialized machine learning detectors to identify and stop a wide variety of malicious bot activities, including API abuse, credential stuffing, security crawlers, and content scrapers. One of the key advantages of this approach is that it is not based on JavaScript challenges, which have proven to be ineffective against API bots. Instead, it uses a combination of machine learning and rules-based algorithms to accurately detect and stop malicious bot activity.

And all of this happens within Wallarm’s single, unified platform: a true one-stop-shop for defending against today’s most dangerous and fastest-growing attack surfaces.