Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

International Women’s Day is a moment to take stock of the progress being made, whilst also being honest about the challenges that remain for women and girls online. For many, abuse does not stop offline. It can continue through phones, social media, emails, apps, and other digital spaces that are part of everyday life.

Automated data classification tools are the foundation that every other data security capability builds on. Without continuous classification across hybrid environments, organizations cannot enforce DLP policies, meet compliance mandates, or answer who has access to sensitive data. The right tool depends on whether your primary need is security-focused classification tied to identity context, or governance-focused cataloging for data stewardship.

Cryptocurrency represents more than just a disruptive financial innovation; it’s a bold experiment in how value circulates. But beneath every blockchain transaction lies a complex web of regulation, fragmented jurisdictions, and growing scrutiny. Organizations today must navigate these challenges carefully or risk legal penalties, reputational harm, and operational setbacks. Across the globe, urgency around crypto oversight is intensifying.

OSINT stands for open-source intelligence. It is the collection, analysis, and dissemination of information from publicly available sources, such as social media, government reports, newspapers, and other public documents. OSINT is commonly used by intelligence agencies, private investigators, and law enforcement to gather information about an individual or organization. The OSINT framework showcases the multiple ways in which organizations can gather intelligence.

AI systems are no longer just isolated models responding to human prompts. In modern production environments, they are increasingly chained together – delegating tasks, calling tools, and coordinating decisions with limited or no human oversight. Almost all that communication happens through APIs. This shift offers enormous productivity benefits. But it has also complicated security. Because as soon as systems can talk to each other, they can be attacked through each other.

Kubernetes is an extremely powerful tool for scaling, automating, and managing applications and systems. There’s a reason it has become industry standard, with over 80% of container-using enterprises running K8s, encompassing over 60% of enterprises in general. It makes sense that, sooner or later, Kubernetes users will need to contend with the FedRAMP framework and the security requirements necessary to maintain operations. Fortunately, this is generally a good thing.

Web application penetration testing methodology has a reputation for being more complicated than it needs to be, as new testers are often dropped into a sea of tools and terminology with little guidance on how an objective test should flow. The same problem shows up higher up the org chart, with Founders, CTOs, and other technical leaders who regularly receive pentest reports packed with screenshots and acronyms but short on clarity: what actually matters, what can wait, or how serious the risk really is.

Most penetration testing plans start with the right intentions and end up as glorified to-do lists. They name the tools, set the dates, draw the scope boundary, and send testers in. Then the final report lands on a security manager’s desk with thirty findings, a severity distribution chart, and zero clarity on whether the business is actually safer. The problem isn’t the execution but the plan itself…or rather, what the plan is missing, i.e., a reason why each test exists.