July 8, 2019
Cybersecurity is a vast, increasingly serious subject in the world of IT, and, realistically, the world in general. Software has its own, distinctive role in cybersecurity. Hackers frequently target software applications. As a result, it’s useful to understand software’s vulnerabilities as well as countermeasures that can protect software from attack.
Cybersecurity, a (Very) Brief Overview
We hear a lot about cybersecurity these days, and with good reasons. Hacking, which used to be considered a nuisance, is now a serious problem that affects businesses, individuals and even entire nations. The topic gets a bit overhyped as a result. The essence of cybersecurity, however, is the protection of data and information assets, like computer systems, from unauthorized access.
With this unauthorized access, the attackers are usually interested in stealing data or disrupting IT systems as a means to disrupting a business or government. Their intent is invariably malicious or criminal in nature. Almost every tool and practice connected with cybersecurity is intended to detect, prevent or respond to such unauthorized access.
Why Hackers Target Software
Malicious actors generally target software because it gives them access to data. If you want to steal credit card numbers, for example, then attacking the Point of Sale (POS) software is a good way to accomplish that goal. Other times, hackers simply want to disrupt or paralyze an organization, so they go after its software. Rendering a company’s Enterprise Resource Planning (ERP) inoperable, for instance, will bring the owner’s business to a standstill.
How Hackers Breach Software Applications
There are many different ways to hack into a software application. The simplest, and one of the most common, is to either guess or steal a real user’s log-in credentials. The spear-phishing attack is frequently used to grab log-in credentials for corporate systems. More sophisticated software attacks may insert corrupted code into a program’s source code. This occurs sometimes with open source solutions, which assemble code from different sources, not all of it checked for malware. Another technique is to get inside an application via a second app. With APIs and machine-to-machine integration, it is possible to access an application without actually logging in as a user.
Preventing Software-Based Cyberattacks
Keeping hackers out of your software usually takes a multi-layered approach to defense. Good access controls are a must. It’s imperative that you know who has access to your applications and stay on top of users who leave your company. In our experience, it’s incredible how often a company will terminate an employee, but then forget to cancel that person’s user access to critical software programs like ERP.
Monitoring the infrastructure that runs software is another effective countermeasure. In many cases, it’s not the software that has the vulnerability. Rather, it’s a vulnerability like a server or workstation that gets left on, with the user logged in, that opens up a backdoor to a malicious actor. For malware insertions, it’s possible to administer code scanning programs that spot bad code before it gets compiled and put into production. This latter technique is growing more challenging as the development process speeds up with DevOps and comparable methodologies. Automation and AI can help here, checking code by machine and looking for anomalies that no human being would ever see.
Additional Cybersecurity Resources
Blockchain has been so hyped for so long, people may want it without quite understanding what it actually does. There are plenty of reasons for this confusing state of affairs. The biggest culprit is the business of crypt-currencies, which use blockchain technology as their foundation. But, there is much more to blockchain than just Bitcoin and the like. There are many practical blockchain initiatives you can implement today. We will present five of them in this article.read more
The Internet of Things (IoT) and machine learning (ML) are reshaping the world of computing. From corporate data to consumer devices, these phenomena have been the subjects of intense development. They’re not new, with the IoT having been recognized for around 20 years and the concept of machine learning existing since the late 1950s. However, today, they are advancing in their sophistication and coming together to realize innovations such as online recommendations, fraud detection and self-driving cars.read more
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