Month: March 2026

Cloud operations have entered a strange new phase. The distinction between keeping systems running and keeping them secure has vanished. What looks like a reliability problem often turns out to be a security issue in disguise, and vice versa. Teams managing uptime are now, whether they planned for it or not, managing defense. This shift

Most CI/CD pipelines are built around a simple idea: if your code passes tests and security scans before deployment, you’re good to go. That used to be enough. It isn’t anymore.

Most organizations have poured heavy capital into endpoint automation. That investment has yielded partial results at best. IT teams frequently find themselves trapped maintaining the very scripts designed to save them time.  Recent data from the Automox 2026 State of Endpoint Management report reveals that only 6% of organizations consider themselves fully automated. Meanwhile, 57%

Data transfer has become one of the most important — and sometimes misunderstood — parts of system architecture as businesses migrate more of their work to the cloud. Secure managed file transfer (MFT) is the main way most teams handle files and batch-oriented data. APIs are used for real-time communication between services.  When companies try

Enterprise Java applications do not often break due to business logic. The reason they break is that dependency ecosystems evolve all the time. Manual maintenance in most large systems consists of hundreds of third-party libraries, and small upgrades occur regularly as a result of security patches, code corrections, or vendor advice. The problem is not

AI-assisted development is accelerating software delivery — but it also amplifies a question many teams still ignore: what happens to your sensitive data when you use AI tools? API keys, customer PII, internal business logic, production logs — once shared with third-party AI services, you may lose control over where that data is stored, who

Introduction: Modern Directories Meet Legacy Constraints As organisations strengthen security and centralise identity management, IBM MQ administrators increasingly integrate with enterprise LDAP directories such as Microsoft Active Directory or OpenLDAP. This enables authentication using corporate credentials and authorisation through LDAP users or their group membership, instead of relying on local OS users. However, on Windows

Beyond being a cliché, “artificial intelligence” and its associated automation technologies have driven major developments in security, signifying that important changes have occurred in this field. In the field of cybersecurity, artificial intelligence refers to systems that acquire data, trace patterns, and forecast trends. Typically, this application is performed using machine learning, neural networks, or

GitOps has a fundamental tension: everything should be in Git, but secrets shouldn’t be in Git. You need database passwords, API keys, and tokens to deploy applications, but committing them to a repository is a security incident waiting to happen. This post covers how to solve this with Infisical and External Secrets Operator (ESO) –

The Gap Nobody Is Talking About The Model Context Protocol (MCP) is quickly becoming the de facto standard between AI agents and the tools they use. The adoption is growing rapidly – from coding assistants to enterprise automation platforms, MCP servers are replacing custom API integrations everywhere. As a result of the MCP’s rapid growth, the security community