Systems | Development | Analytics | API | Testing

Static Application Security Testing has survived multiple cycles of skepticism, reinvention, and disappointment. For years, SAST was criticized for producing noise, slowing development, and failing to reflect real-world risk. Yet in 2026, SAST has not disappeared. It has changed its role. The shift is not that static analysis suddenly became perfect. It is that organizations finally stopped asking SAST to do the wrong job.

Personalization engines sit at the core of most modern digital platforms. From content ranking to feature recommendations, AI-driven personalization shapes how users experience products at scale. When these systems work well, they feel invisible. Engagement improves, friction drops, and platforms grow efficiently. But as personalization engines scale, so does their influence, often in ways engineering teams do not fully anticipate at the outset.

Law firms are prime targets for cyberattacks. They handle sensitive client data, confidential case strategies, and privileged communications-information that's highly valuable to hackers and malicious actors. As digital threats grow more sophisticated, traditional security measures like passwords and firewalls are no longer enough on their own.

AI-generated code is no longer experimental. It is actively running in production environments across SaaS platforms, fintech systems, marketplaces, internal tools, and customer-facing applications. From AI copilots assisting developers to autonomous agents opening pull requests, the volume of machine-generated code entering production has increased dramatically. This shift has created a new operational challenge: how do you reliably monitor AI-generated code once it is live?

By 2026, container image security will no longer be evaluated in isolation. For most organizations, the image layer has become one of the primary sources of security debt, quietly accumulating vulnerabilities that multiply across services, clusters, and environments. What has changed is not just the volume of vulnerabilities, but the cost of managing them. Faster release cycles, shorter maintenance windows, and tighter compliance expectations have pushed teams to reconsider whether traditional scanning-and-patching workflows are sustainable at scale.

Picking a home cloud can feel like choosing a long-term apartment on a one-month lease. The place looks perfect today, the move-in bonus is huge, and your runway is tight. That move-in bonus is cloud credits. Done right, credits cut burn and buy time to ship product, sign customers, and learn what your workload really needs. Done wrong, they can hide expensive defaults (data transfer fees, managed database costs, support add-ons), and make a later switch painful.

Free up space for new tech with simple strategies that help businesses stay organized and efficient.

In today's digital world, our data is the product. Every click, search, and transaction is tracked and monetized by massive corporations. We've traded privacy for convenience, but there is a better way. For those who value freedom, security, and control, the solution lies in taking back ownership of your digital space.

Are you one of those people who believe that their internet presence fades when they press the delete button? That's cute. In the modern digital era, all posts, likes and comments leave a trail of evidence and a private detective knows how to trace it. With the assistance of Open Source Intelligence (OSINT), professional PIs sift through publicly available data, social media, and Internet habits to reveal the truths most individuals believe to be concealed. Starting with the tracking of unknown profiles to the connection of dots, OSINT has become the arsenal of a modern detective.

If you're a vulnerability management professional or have experience leading teams that do vulnerability management, you know CVEs inside and out. You've got your scanning tools configured, your patch cycles running, and your CVSS score thresholds set. But lately, something probably feels off. Maybe it's the fact that breaches keep happening despite all the patching. Maybe it's that your CVE count keeps growing faster than you can remediate. Or maybe you're just tired of explaining why that "critical" vulnerability in a disconnected test server isn't actually critical.