Cloud security refers to technologies, best practices, and safety guidelines that help to protect your data from human errors, insider and security threats. Therefore, it naturally covers a wide range of procedures, which are aimed at securing systems from data breaches, data loss, unauthorized access, and other cybersecurity-related risks that are growing from year to year.

Estimating the potential impact of a successful cyber attack may seem impossible, especially given the rapid expansion of organizations’ digital footprint (and, consequently, their attack surface). One example are attacks which pertain to the contact points between businesses and clients, such as websites and mobile apps. In particular, these assets can be cloned and used for phishing attacks.

As language models (LLMs) in enterprise applications continue to grow, ensuring data privacy while maintaining response accuracy becomes crucial. One of the primary methods for protecting sensitive information is data masking. However, this process can lead to significant information loss, potentially rendering responses from LLMs less accurate. How can this loss be measured?

The “Russian Laundromat” scheme is a notorious example of how complex and far-reaching financial crimes can be. Running from 2010 to 2014, this scheme funneled between $20 billion and $80 billion out of Russia, using a network of shell companies and global banks, many of which were based in Moldova and Latvia. This was not a small operation — it involved around 500 people, many of whom were wealthy Russians, and relied on thousands of transactions to launder the money.

Top tips is a weekly column where we highlight what’s trending in the tech world today and list ways to explore these trends. This week, we’re going over five steps to building a robust cybersecurity mesh. The last few years have seen computing models and network infrastructure become increasingly fragmented and distributed.

Did it ever cross your mind to ask if your password can defend your sensitive info on the web all by itself? In the digital world of today, where cyber threats are rapidly developing, the traditional way of protecting the system with single password has become more and more insecure. Therefore, it is the user who is more exposed to such cyberattacks. Just to mention, more than 81% of data breaches are associated with weak or stolen passwords.

Email remains a critical communication channel for businesses of all sizes, but it also presents significant data security risks. Data loss prevention (DLP) for email is an essential component of any robust cybersecurity strategy that can help your organization safeguard sensitive information from accidental leaks, malicious insiders, and external threats.