Organizations rely on interconnected systems to store, share and manage information. These ecosystems often incorporate network file shares, which act as repositories of various types of data within an organization. Unfortunately, it is not uncommon for sensitive files to find their way onto these network shares inadvertently with permissions that are too broad or not properly restricted.

With data breaches making the headlines almost daily, it can feel like you’re stuck in a never-ending discussion about how secure data is in the cloud. On one hand, cloud naysayers may be preaching cloud repatriation in response to the high profile cloud compromises of the last few years. On the other hand, being too sure of your data security is a major recipe for trouble — hubris has no place in cybersecurity.

When people talk about complex, interconnected ecosystems, they’re really talking about how applications share data and communicate with each other. Like the air-lock on a spaceship lets people pass between physical environments, Application Programming Interfaces (APIs) enable data to pass between digital environments. However, since APIs act as access points between applications, they create potential security risks.

In today's always-on, ever-connected world, keeping digital systems secure and reliable is not just a goal, but a business imperative — it is now a boardroom-level conversation. With the increasing complexity of digital systems and ever-growing event volume, organizations face a constant battle to protect their systems, data, and reputation from a myriad of threats. Simultaneously, they need to optimize system performance, identify bottlenecks, and enhance the overall user experience.

Build secure cloud-native applications by avoiding the top five security pitfalls we lay out in our Secure Cloud-native Development Series. This blog is the second part of the series, and it will teach you how and why to enable logging from the start. We’re going to talk about enabling logging (cloud logging, to be specific). What’s the difference? Not much, other than the fact that it’s another managed service integrated with the tools we should already be utilizing.

Cybersecurity is complex — anticipating cybersecurity events is another challenge altogether. We could argue that most events can be described by some probabilistic phenomenon, but attempting to define that phenomenon is where things get tricky. IT environment exposure presents real risks, but mathematically (or statistically), we can only aim to describe the likelihood of a cyberattack by accounting for a finite set of factors.

Security analytics is a proactive approach to cybersecurity that uses data collection, aggregation and analysis capabilities to perform vital security functions — including detecting, analyzing and mitigating cyberthreats. Security analytics tools such as threat detection and security monitoring are deployed to identify and investigate security incidents or potential threats such as external malware, targeted attacks and malicious insiders.