There is no doubt how regular penetration tests are an essential part of the vulnerability management process to reduce risks. It is important to ensure penetration tests are efficient and to do so, the use of correct penetration testing methodologies is an essential component. A methodology in this context defines the logic using which various test cases are carried out to assess an asset’s security. Let’s start with the basics first and then move on to the topic.

Considering the continuous increase in cybersecurity attacks targeting large organizations over the past few years and regulations like PCI DSS, HIPAA, NIST 800-731 – to name a few – it’s no surprise that enterprise investment in vulnerability management is on the rise. Detecting, prioritizing, and remediating security vulnerabilities in today’s rapidly evolving threat landscape is no small feat.

Devops teams are flocking to GitOps strategies to accelerate development time frames and eliminate cloud misconfigurations. They should adopt a similar ‘as-code’ approach to policy. One risk in deploying fleets of powerful and flexible clusters on constantly changing infrastructure like Kubernetes is that mistakes happen. Even minute manual errors that slip past review can have substantial impacts on the health and security of your clusters.

Internet dating is a great thing. No longer are you reliant on bumping into that future special someone in a bar, at the workplace, or in the local coffee shop. As humans, our world has never been so connected, our reach so vast and now even finding love the same is true. Firstly, let’s just start by accepting internet dating is a thing and has been a thing before the world went into various states of lockdown, it has been around pretty much since the widespread use of the internet itself.

All organizations want to take advantage of the cost savings, operational efficiency, and improved capabilities that a shift to the cloud provides. But having the right protections in place is key to make sure not only your users are protected, but that your sensitive data is also protected. Especially as workforces become increasingly remote, improved functionality and cloud security are both must-haves for any organization.

“Destroying things is much easier than making them.” This quote from The Hunger Games rings true in software; developers spend months perfecting their innovative applications only to see it all crumble at the nimble fingers of a speedy cyberattacker. So how do you beat them? Improve your secure coding know-how early on and keep it sharp. More than half of organizations in North America provide developers with some level of security training annually, or less often.

The healthcare sector is undergoing digitalization and adopts new technologies to improve patient care, offer new services for remote patients and reach operational excellence. The integration of new technologies in the complex healthcare IT infrastructure creates new challenges regarding data protection and cybersecurity.

Organizations often create multiple IT policies for a variety of needs: disaster recovery, data classification, data privacy, risk assessment, risk management and so on. These documents are often interconnected and provide a framework for the company to set values to guide decision-making and responses. Organizations also need an information security policy. This type of policy provides controls and procedures that help ensure that employees will work with IT assets appropriately.

When it comes to your SIEM, your data is only as useful as your ability to ingest and analyze it. To solve complex security problems, your team ideally needs the ability to comprehensively monitor events within your environment with contextual insights from high-volume data sources.

Most security pros know the value of log data. Organizations collect metrics, logs, and events from some parts of the environment. But there is a big difference between monitoring and a true centralized log management. How can you measure the effectiveness of your current logging solution? Here are four signs that it’s time to centralize log management in your organization: This post is based on content from the new Devo eBook The Shift Is On.