Identity management acronyms aren’t anyone’s idea of a fun day out, but successfully securing identities requires carefully stitching together each of these acronyms into a comprehensive identity security solution. In this article, we discuss AM, PAM, IGA, ADM – and how a unified identity platform (UIP) can help you tie them all together. Let’s start by defining each of these acronyms.

As organisations increasingly rely on IoT devices for operational efficiency and data collection, managing each device securely throughout its lifecycle becomes crucial. IoT Device Lifecycle Management (DLM) is a structured approach to securing IoT devices from their initial setup through to decommissioning. By implementing best practices for each stage, organisations can reduce security risks, ensure data protection, and maintain compliance with regulatory standards.

Cybercrime and online harms are rapidly evolving, impacting millions annually in England and Wales alone. Recognising the complexity and urgency of these issues, The Cyber Helpline has undertaken a thorough analysis to examine the critical gaps in the processes of reporting, investigation, and prosecution faced by victims. Drawing on our data and insights from across England and Wales, we explore the journey of victims from the initial impact through to potential prosecution.

Finding the exact price of any product is now easier than ever. A quick check with your favorite online retailer will show that a GE Profile Dryer goes for $989, a 10-pack of Play-Doh can be had for $7.99, and a loaf of Pepperidge Farm Farmhouse Hearty White Sliced Bread is $3.59. Unfortunately, a glance at certain less legitimate online sites on the Dark Web is just as easy.

We probably do not need to cover this, but we’ll provide a quick overview – M365 has a host of advantages, including scalability and convenience. Because the platform is cloud-based, businesses can effortlessly access their data and applications and shift to fully remote or hybrid working models without the common challenges of such a transition.

Our breakthrough ML model FP Remover V2 slashes false positives by 80%, setting a new industry standard for secrets detection. Discover how we're helping security teams focus on real threats instead of chasing phantom alerts.

Imagine, for a moment, that your IT environment is the Death Star. You know the rebels will try to rescue Princess Leia. If you’re Darth Vader, you need systems that detect Luke and Chewbacca when they gain unauthorized access and systems that prevent them from accessing the Death Star. As a security analyst, you have varied technologies that detect and prevent malicious actors from gaining unauthorized access to your networks.

As application development and deployment evolve, traditional tools alone can no longer handle the dynamic, ephemeral nature of cloud and cloud-native environments. This article explores how cloud-native application protection platforms (CNAPPs) are addressing these challenges to enhance coverage and streamline prioritization.

Most modern organizations have complex IT infrastructures made up of various components like Software-as-a-Service (SaaS), Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS), public cloud, and sometimes hybrid environments. While these infrastructures bring significant benefits, including improved scalability, flexibility, and cost savings, increasing complexity has made it challenging for security teams to secure the data stored in these environments adequately.

Software developers push thousands of lines of code every day, helping enterprises shape the tools and applications we all rely on, starting from banking to entertainment. However, we shouldn’t forget that behind every successful deployment lies a hidden challenge – what cyber security measures should be taken to protect the source code, hardware and software products, and critical company and customer data?