Modern IT infrastructure is comprised of various interconnected network components that make communication and resource sharing possible throughout your organization. Whether securing sensitive data, facilitating collaboration, or simply ensuring uninterrupted access, a network of devices is at play—and the elements of these devices are critical to a business’s successful operation.

Modern organisations today are increasingly adopting cloud operations to enhance their agility, scalability, and efficiency. By moving to cloud-based platforms, businesses can leverage powerful computing resources without the need to invest heavily in physical infrastructure. This shift not only reduces capital expenditure but also allows organisations to quickly scale operations in response to demand fluctuations.

In this blog, we are going to take a closer look at the concept of Fuzzing, using Go, and how to integrate it into your CI/CD pipeline. As a quick primer, Fuzzing is an automated testing technique that involves feeding random, unexpected, or invalid data to a program or API to uncover bugs and vulnerabilities. The core idea is to expose the program to inputs that developers may not have anticipated, thereby revealing flaws such as crashes, memory leaks, and security vulnerabilities.

Netskope Threat Labs publishes a quarterly summary blog post of the top threats we track on the Netskope platform. This post aims to provide strategic, actionable intelligence on active threats against enterprise users worldwide.

IoT enterprise solutions involve using interconnected devices and sensors within business operations to enhance efficiency, productivity, and real-time decision-making. This article will guide you through the growing market, infrastructure components, and the key benefits for businesses. We will also share real-world applications, emerging trends, and steps for successful implementation.

Organizations are increasingly reliant on complex systems and vast amounts of sensitive data, which makes them attractive targets for cybercriminals. However, while external threats are often in the spotlight, insider risks posed by privileged users who have elevated access to critical systems and sensitive information often goes unnoticed.

Between customer requirements, regulatory or legislative mandates and executive orders, incorporating strong security controls throughout the Software Development Lifecycle (SDLC) has become a central focus for development groups, leadership teams and governing bodies. However, regardless of external motivators, maintaining a secure SDLC also provides the developer tangible benefits regarding the health of the software by ensuring a meticulous focus on architecture and solid software-building practices.

Malicious cyber activity is intensifying at an unprecedented rate. The infrastructure that offers the convenience of working from multiple workstations, mobile devices, and home computers is a double-edged sword, increasing the total attack surface and complexity of securing these environments.

In the modern workplace, GenAI models have become powerful assets due to their ability to introduce efficiency, up level product innovation, and expedite how teams close the gap on competitors. However, these powerful tools also introduce significant risks related to data security and governance. Companies that aren’t actively figuring out how to govern the GenAI they’ve adopted will inevitably be left vulnerable.

People who don’t have the tool to get a job done will find one that works. That’s why shadow IT, software or services that are unaccounted for and unauthorized, exists. It may even underlie important business processes, which is why it’s extremely important to discover what’s really out there. Shadow IT creates security concerns, can impact operations, and easily becomes a roadblock on the path to digital transformation.