When we think about privilege access management (PAM), we typically think about it first as preventive control. PAM solutions manage who has privileged access to systems, enforce least-privilege principles and monitor and record privileged user activity. This is crucial for preventing misuse of high-level permissions and ensuring accountability.

Your organization’s most vulnerable points of attack are no longer desktops — they’re in the pockets of your employees. Virtually everyone has a mobile device. And, even on the job, we use them for a multitude of tasks. As a result, our devices are packed with critical information, making them rich targets for cybercrime. That crime comes at a high cost.

Fireblocks has launched support for Yellow Card, Africa’s leading stablecoin on/off ramp, to improve cross-border transactions for both businesses and individuals. By integrating the Fireblocks digital asset infrastructure, Yellow Card seeks to remove obstacles for global corporate treasury in accessing African markets by offering secure and effective on-chain solutions.

Google has recently released an urgent security update to fix a high-severity vulnerability in its Chrome browser. This flaw, identified as CVE-2024-7971, has been actively exploited by attackers, posing a significant risk to users. The vulnerability, rooted in the V8 JavaScript and WebAssembly engine, could allow remote attackers to execute harmful code via specially crafted web pages. As cyber threats continue to evolve, it is crucial for users to stay informed and ensure their browsers are up to date.

A new strain of Android malware has emerged, targeting victims' card details and utilizing near-field communication (NFC) technology to facilitate unauthorized ATM withdrawals. This sophisticated crimeware, active since March 2024, has already impacted customers of three major Czech banks.

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.