The latest News and Information on CyberSecurity for Applications, Services and Infrastructure, and related technologies.
Ransomware attacks are increasing in frequency and severity every year. The impact to companies is devastating. These attacks typically lead to lost business for companies as they often cause increased customer turnover, system downtime, diminished reputation and other adverse side effects.
Security is a vital part of application development, yet it may be neglected until an attacker takes advantage of a vulnerability in the system. The consequences of a security breach can damage an application’s integrity as well as a company’s reputation and revenue. Software architects and engineers need to pay special attention to securing the systems they work on.
You’ve probably seen the term AIOps appear as the subject of an article or talk recently, and there’s a reason. AIOps is merging DevOps principles with Artificial Intelligence, Big Data, and Machine Learning. It provides visibility into performance and system data on a massive scale, automating IT operations through multi-layered platforms while delivering real-time analytics.
In the last few years, many organizations I worked with have significantly increased their cloud footprint. I’ve also seen a large percentage of newly launched companies go with cloud services almost exclusively, limiting their on-premises infrastructure to what cannot be done in the cloud — things like WiFi access points in offices or point of sale (POS) hardware for physical stores.
Cyberattacks have become more pervasive globally, evolving quickly in sophistication and scale, and are now more lucrative than ever for cybercriminals. Not only has The Everywhere Workplace extended the cyber risk and threat landscape—especially for data privacy and its protection—but a lot of Agile software developers, many of whom lack any DevSecOps process, are publishing untested or poorly tested software that can be exploited as zero-days by criminal gangs.
