As businesses access larger and more intricate datasets, data discovery has become a key component in successful data analysis. By uncovering meaningful patterns and insights in datasets, data discovery helps organizations better understand their customers, products, and processes to enable optimum decision-making. With the correct tools and strategies, data discovery can be invaluable in helping organizations maximize the value of their data.
While modern web applications are growing in complexity, the threat landscape is also constantly evolving. It can be difficult for developers to identify and remediate vulnerabilities in their code, especially if they need more expertise in security. As a result, manual application security testing has become ever more challenging and intricate.
Imagine a world where a single line of code, tucked away in a common library or framework, could bring your entire digital world to a screeching halt—welcome to the ever-evolving landscape of software supply chain security. Like any supply chain, the security of your software is only as strong as the weakest link in the system that produces and delivers working code.
Recently, Amazon accidentally exposed information on Amazon Prime Video viewing habits to the public. In addition, Thomson Reuters news and media company admitted that their servers had compromised 3TB of data by public-facing ElasticSearch databases. Well, these are the type of news we often see on the front page of cybersecurity forums. But if you dig a bit deeper, you will find that these data leaks are caused by misconfiguration, not cyber attacks.
Adopting cloud technologies is one of the most common tech strategies followed by modern organizations. This may be due to various reasons depending on the nature of the business. But there are a few standard components that span across most domains, not least the fact that cloud vendors allow developers to easily create and take down resources on the cloud with minimal effort.
AWS (Amazon Web Services) allows businesses to quickly and securely build and scale applications. Hence, there is exponential growth in AWS usage among businesses and organizations. For example, As of 2020, AWS held 76% of enterprise cloud usage, reflecting the power and importance AWS holds. This increased use of AWS tools and services opens new doors for cyber attackers. However, AWS is a very reliable cloud service provider that works hard to ensure protection over its infrastructure.
The Don’t Repeat Yourself (DRY) Principle is one of Python’s most used software development principles. It aims to reduce the repetition of software patterns and algorithms by using package libraries and boilerplate templates to improve product release efficiency.
In October 2022, data center construction reached a record high, reflecting our reliance on collecting, storing, and securing data. This reliance permeates businesses across all industries and puts pressure on data centers storing and processing large amounts of data–much of which is sensitive.
No single organization can master all trades, which is why their success hinges heavily on their vendors. And if vendors are crucial for your business operations, it’s necessary to manage them as if your success depended on it–because it does. Yet, until recently (2016), only a third of companies knew how many vendors accessed their systems each week.
As the basis of pretty much every consumer system available today, Discretionary Access Control (DAC) is everywhere and used by everyone. The files on your computer, the media and applications on your smartphone, and even your social media content. They all use DAC to manage permissions. That’s in part because DAC is easy to manage and understand. But DAC also has a few glaring issues when it comes to cybersecurity.
