Every functioning security team has an incident response plan. Advance strategizing and preparation are absolutely imperative to ensure a quick response to data breaches, ransomware, and numerous other challenges, but most companies first developed that plan years, if not decades, ago and now only revisit it periodically. This is a problem. How many organizations have developed a separate incident response plan to address the unique risks of the software-as-a-service (SaaS) era? Far too few.
Enterprises know they need defenses integrated into each aspect of their network while not being an inhibitor to innovation. Digital transformation realized through new 5G-enabled IoT, Operational Technologies (OT) and IT use cases are no exception. Therefore, security teams need to take a closer look at the best technology to support this innovation.
By 2025, there will be more than 100 zettabytes of data stored in the cloud – that’s a lot of data! With more applications needing to process a significant amount of data in real-time, there is a shift in demand for distributed cloud and edge computing. Fortunately, the distributed cloud brings many impressive benefits to organizations – generating immense cost savings, greater scalability, and reaching resource-intensive business demands.
One of the biggest problems with the IT / OT convergence in critical infrastructure is that much of the legacy hardware cannot simply be patched to an acceptable compliance level. Recently, Sean Tufts, the practice director for Industrial Control Systems (ICS) and Internet of Things (IoT) security at Optiv, offered his perspectives on where the industry has been, where it is going, and some of the progress being made to secure critical infrastructure.
Application Programming Interface (APIs), allow services to communicate with each other. Naturally, applications that are interconnected through many APIs, require thorough security testing, as each connection could potentially include software vulnerabilities. Since there are different methods to test these junctions, I want to briefly discuss the benefits and weaknesses of the most commonly used API testing methods in this article.
It should come as little surprise that when enterprise and IT leaders turned their attention to the cloud, so did attackers. Unfortunately, the security capabilities of enterprises have not always kept up with the threat landscape. Poor visibility, management challenges and misconfigurations combine with other security and compliance issues to make protecting cloud environments a complex endeavor.
Very recently, the JFrog security research team has disclosed an issue in the H2 database console which was issued a critical CVE – CVE-2021-42392. This issue has the same root cause as the infamous Log4Shell vulnerability in Apache Log4j (JNDI remote class loading). H2 is a very popular open-source Java SQL database offering a lightweight in-memory solution that doesn’t require data to be stored on disk.
In recent blogs, we’ve explored the role of Security Service Edge (SSE) technologies as part of a SASE architecture, and the key differences between SSE and SASE. But so far, we’ve focused more on overall functionality than on its realization and what SSE means from a cloud design and implementation perspective. In this post, we shift gears to put a spotlight on networking and infrastructure as it relates to security clouds.
Mobile application security testing (MAST) covers a wide range of topics, including authentication, authorization, data security, session management, and vulnerabilities for hacking. The mobile AST market is made up of buyers and sellers of products that identify vulnerabilities and apps used with mobile platforms during or post-development.
