Consider the case of a malicious actor attempting to inject, scrape, harvest, or exfiltrate data via an API. Such malicious activities are often characterized by the particular order in which the actor initiates requests to API endpoints. Moreover, the malicious activity is often not readily detectable using volumetric techniques alone, because the actor may intentionally execute API requests slowly, in an attempt to thwart volumetric abuse protection.

We are excited to share the tremendous response to our Large Language Model (LLM) attacker summary feature. Since its launch, usage has increased by an amazing 800%, demonstrating its significant impact on our customers' daily operations.

Managing an organization’s attack surface is a complex problem involving asset discovery, vulnerability analysis, and continuous monitoring. There are multiple well-defined solutions to secure the attack surface, such as extended detection and response (EDR or XDR), security information & event management (SIEM), and security orchestration, automation & response (SOAR); despite that, these tools often do not prioritize APIs.

While it was not called ASM, the concept of managing attack surface management began with basic asset management practices in the late 1990s and early 2000s. Organizations focused on keeping an inventory of their digital assets, such as servers, desktops, and network devices. The primary objective was to maintain an accurate record of these assets to ensure proper configuration and patch management.

As we continue our Summer School blog series, let's focus on a vital aspect of modern application security: the relationship between API posture governance, API security, and the constantly changing regulatory compliance landscape. In today's interconnected world, where APIs are crucial for digital interactions, organizations are challenged with securing their APIs while complying with complex regulations designed to protect sensitive data and critical infrastructure.

APIs form the backbone of modern digital systems, enabling seamless data exchange and integration. However, their critical role also makes them attractive targets for cyber threats. Traditional security measures often fail to address API-specific challenges effectively. Graylog API Security Content Pack emerges as a game-changer, reimagining API defense through innovative threat detection and response approaches.

In today’s hyper-connected digital landscape, APIs are the lifeblood of innovation, powering everything from customer experiences to internal operations. However, with this growing reliance on APIs comes a dark side—zombie and shadow APIs. These hidden, forgotten, or undocumented endpoints present significant security risks that traditional approaches simply can’t address.

In API security, organizations frequently encounter a tough decision: whether to opt for the flexibility and scalability of a SaaS solution or the data control and privacy of an on-premises deployment. Salt Security's hybrid deployment option provides a solution that combines the advantages of a SaaS solution with the assurance of data privacy, offering the best of both worlds for organizations.

This article provides a detailed guide on successfully integrating Swagger UI into web applications using EmberJs as the Javascript framework and Webpack as the module bundler. We will cover the step-by-step process, including any challenges encountered along the way and how we resolved them. For those unfamiliar with Ember Js or Webpack, we have included introductory sections to get you up to speed. If you’re already familiar with it, feel free to skip directly to the integration steps.