The cybersecurity landscape is evolving rapidly, and recent weeks have once again demonstrated the critical threat posed by security vulnerabilities in modern IT systems. Between November 17 and December 16, 2024, numerous severe vulnerabilities were discovered affecting a wide range of technologies and industries.
The cybersecurity landscape is evolving rapidly, presenting growing challenges for businesses worldwide. A recent study analyzing over 1.26 billion cyberattacks in Q3 of 2024 reveals alarming trends that demand immediate attention.
The role of the data engineer is increasingly evolving from pure data architect to «security-first data engineer». Recent developments have further underscored the urgency of this topic.
In a significant escalation of cyber hostilities, Chinese hackers have reportedly carried out what is being described as the «worst cyberattack in US history» against major US telecom providers. This breach, targeting sensitive wiretapping data, has sent shockwaves through the cybersecurity community and further strained US-China relations.
In recent days, cybersecurity experts have flagged a surge in sophisticated malware distribution tactics involving fake CAPTCHAs and counterfeit AI applications. This new wave of cyberattacks targets both Windows and macOS systems, closely linked to notorious malware strains like Lumma Stealer and AMOS.
On October 15, 2024, the first alpha version of Python 3.14 was released. This early developer preview gives us a first look into the future of one of the world’s most popular programming languages. Although still in the development phase, Python 3.14 promises some exciting innovations and improvements.
A suspected cyber campaign attributed by some experts to Chinese state actors could threaten critical infrastructure worldwide. China firmly rejects the accusations and blames the USA for the attacks.
Python 3.13.0 brings a number of interesting new features and improvements. Here are some of the most important new features: Improved Interactive Interpreter Experimental Functions Improvements in Typing and Error Handling Changes to the Standard Library Platform Support These additions are aimed at further improving the performance, usability and flexibility of Python. However, it is […]
