To minimize the security risks of an application, developers need their apps to stand up to stringent security testing. Fortunately, there are tools available that simplify and even automate these security tests. There are also best practices to guide and inform the testing process. In this article, I will cover the most common security issues for mobile apps and highlight popular security tests.

IBM this week announced patches for high-severity vulnerabilities in IBM MQ, warning that attackers could exploit them to bypass security restrictions or access sensitive information. Messaging and queuing middleware, IBM MQ provides enterprise-grade messaging between applications, enabling the transfer of data between programs and the sending of messages to multiple subscribers. Two security issues were resolved in IBM MQ this week, both residing within the libcurl library.

From surprise zero-day vulnerabilities to new exploits surfacing in the wild, few things ruin an IT security analyst’s after-hours or vacation plans faster than having to work overtime because of a cyberattack. Here’s a glimpse into how the story usually goes at most companies: A horribly bad cybersecurity day The first cup of morning coffee or tea is on your desk.

As more workloads move to the cloud, more employees work remotely and SaaS application adoption increases, enterprises have had to rethink the way they secure access to the IT services their employees need. The reality for most enterprises today is a multi-vendor, siloed approach that has only compounded their security and IT operations management headaches as they end up using multiple management tools to secure and govern their access to cloud services.

Trust is a very fickle partner to rely on in the IT sector primarily due to the incessant barrage of security threats from both external and internal actors. This is why government, enterprise, and other types of organizations hold cybersecurity as a top priority as hackers discover ever more ingenious ways to stay under the radar.

One of the biggest buzzwords (or really, buzz acronyms) to pop up in the cybersecurity space in recent years is XDR, or, extended detection and response. The term was coined in 2018 by Nir Zuk, CTO and co-founder of Palo Alto Networks. It was posited as a new way to think about security, where data is taken from several platforms and it gets correlated and analyzed.

When SecurityDAM (acquired by Radware), a DDoS protection service provider, needed to upgrade their NOC operations, they tested out multiple solutions before choosing MoovingON.ai. From increasing efficiency and visibility to improving ticket resolution times and runbook automation, MoovingON.ai provided the NOC manager and team with everything they needed to run operations more smoothly and effectively.

A recent ESG/ISSA survey highlighted that security professionals are overwhelmed with competing proprietary data standards and integration challenges. Today’s security landscape often comprises dozens of tools, each with its own unique format. Even if the format is defined and widely adopted, like Syslog, implementations vary widely from tool to tool, or even from release to release for the same tool. How big of a problem are these differing data formats?