In today’s cloud-native environments, network security is more complex than ever, with Kubernetes and containerized workloads introducing unique challenges. Traditional tools struggle to monitor and secure these dynamic, interconnected systems, leaving organizations vulnerable to advanced threats, such as lateral movement, zero-day exploits, ransomware, data exfiltration, and more.

2024 marked a transformative shift in cybersecurity with AI and data driven cyber security leading the change. As the threat landscape evolves, the stage is set for further advancements in continuous risk management, threat monitoring, resilience, and governance in 2025, shaping a more secure and dynamic digital landscape where cybersecurity is becoming a catalyst for business success and compliance.

It’s becoming all too common these days: ransomware hitting another organization. However, most people don’t know exactly what happens when ransomware is found and what must be addressed. What makes it even more challenging for healthcare is that the data that can be stolen, like personal health information, is much more valuable than credit card numbers.

In a team environment, it’s all about playing nice with others. The same could be said of your technology team (or stack), and its various components. The problem of disparate, complex systems – each coming from disparate, complex places – all being thrown together in an enterprise has been one the industry has been mulling over for some time.

It is becoming increasingly important for organizations to manage Kubernetes security costs as they deploy, scale, and manage containerized applications using Kubernetes. Organizations must ensure robust protection without overpaying, especially as 89% of enterprises experience at least one Kubernetes or container-related security incident annually (VentureBeat).

APIs are the backbone of modern digital ecosystems, but their misuse can expose systems to cyber threats. Effective API throttling not only optimizes performance but also acts as a critical defense mechanism against abuse, such as denial-of-service attacks. Discover how this powerful strategy enhances API security and safeguards your organization’s data in an interconnected world.

Traditionally, approaches to Attack Surface Management (ASM) went something like this: A business scanned its own IT estate to discover assets and understand what its attack surface actually included. We can think of this as Phase I. Following the completion of an asset inventory, they assessed each of their assets to identify risks and vulnerabilities, such as open ports, certificate issues, DNS misconfigurations, and more.

Software as a Service (SaaS) applications have become indispensable for organisations in today's digital landscape. From collaboration tools enabling better communication, to SaaS applications that streamline operations, enhance productivity, and support remote work. However, their convenience comes with significant security challenges—many of which stem from human errors, insider threats, and inadequate configuration practices.

With all of that background from parts 1, 2, and 3 of this series out of the way, let's turn to some practical considerations for real-world web applications. The inherent security restrictions for resources, including cookies and JavaScript, assume that each website contains all of its functionality in one neat, isolated package. But websites often contain content and functionality from multiple websites that trust each other.

Credential stuffing is a type of cyberattack where attackers use stolen username and password combinations, often obtained from previous data breaches, to gain unauthorized access to multiple online accounts. The attacker automates the process of trying these combinations across various websites, hoping that users have reused the same login details.