It might surprise you to know that more than 70 new vulnerabilities are published every day. And despite their risk-reducing value in helping SOC teams address these, vulnerability management solutions have drawbacks. Often, they only provide a snapshot of an organization’s vulnerabilities at a point in time. In fact, owing to their nature, vulnerabilities identified today may not exist tomorrow, or they may appear and disappear intermittently.

Single sign-on (SSO) used to be enough. It’s not anymore.

Misconfigurations and container image vulnerabilities are major causes of Kubernetes threats and risks. According to Gartner, more than 90% of global organizations will be running containerized applications in production by 2027. This is a significant increase from fewer than 40% in 2021. As container adoption soars, Kubernetes remains the dominant container orchestration platform.

With the alarming number of data breaches and vulnerabilities today, security is now a primary concern for organizations and their customers, but knowing how to efficiently develop and scale secure applications is still a problem. Tackling this challenge requires considering the potential security risks of a new feature or service much earlier in the development cycle, an idea that is foundational to the Secure by Design approach.

When it comes to sharing files and resources over a network, two popular protocols that often come to mind are NFS (Network File System) and SMB (Server Message Block). Both protocols have their own strengths and weaknesses, and choosing the right one for your needs can make a big difference in terms of performance, security, and ease of use.

With AI finding adoption throughout all stages of the development process, the SDLC as we know it is becoming a thing of the past. Naturally, this has many implications for the field of software testing. This article will discuss how the SDLC has evolved over time, going into detail on the impact that AI adoption is having on both software development and software testing.

For Star Trek fans, space may be the final frontier, but in security, discovering Application Programming Interfaces (APIs) could be the technology equivalent. In the iconic episode “The Trouble with Tribbles,” the legendary starship Enterprise discovers a space station that becomes overwhelmed by little fluffy, purring, rapidly reproducing creatures called “tribbles.” In a modern IT department, APIs can be viewed as the digital tribble overwhelming security teams.

You’re confident in your development chops—confident enough to know the apps you’ve built aren’t completely free of security and configuration flaws. You’ve also researched the deep ecosystem of scanning tools available and perhaps got overwhelmed by the sheer volume of choice. What’s the right “portfolio” of open-source app security tools to identify vulnerabilities in your dependencies, Infrastructure as Code (IaC) configurations, containers, and more?

The interconnected nature of our digital economy requires a shift in how companies think about their cyber risk. Companies need to consider the broader system and how to build mutual support with their entire cyber ecosystem– customers, partners, and vendors. Yet, today, most companies still rely on manual vendor onboarding, monitoring, and point-in-time external security reports to manage supply chain cyber risk – even top Fortune 500 companies.

In the digital age, where technology has become indispensable, cybersecurity has become a crucial issue for organizations. Investment in security tools to protect digital assets is increasing; however, the biggest threat often lies in an unexpected factor – human error. Phishing campaigns, weak passwords, or accidental data leaks can put even the most fortified network at risk.