Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

There are many things in our lives we must prepare for to be ready. For other things, we wing it, or we're not prepared to deal with it at the moment. For me, I've reached that point in my life where I needed to have a medical procedure done, and it was something I've put off for several years. It may not be very comfortable to admit, but last week, I had a colonoscopy. That's not exactly how you'd expect a cybersecurity blog to start, but hear me out on this one!

What is AI really? Throughout this article, I will remove the hype and get to the most honest answer ever. Artificial Intelligence, or AI, or at least the first version of how we think of it today, was “invented” in the 1950s…a long time ago. Since then, various computer scientists and groups have worked on different iterations, often using different names, including machine learning and neural networks.

PCI DSS 11.6.1 (4.0) requires merchants and TPSPs to deploy change- and tamper-detection mechanisms that monitor and alert on unauthorized modifications to payment page scripts and HTTP headers, as seen in the customer’s browser. Monitoring must occur weekly or per a risk-based schedule. Tools like CSP, script behavior monitors, and alerting systems help ensure compliance and prevent e-skimming threats like Magecart.

With the growing popularity of Azure DevOps comes an increased need for proper security of data being stored there. A large aspect of ensuring the security of Azure DevOps ecosystems lies in facilitating data resilience. This means to guarantee the availability to protect, keep, and recover data in case of any disruptions, both intentional and accidental.