Imagine a retail chain rolling out 500 Android tablets across stores. Without the right management solution, IT teams would spend weeks manually configuring devices, pushing updates, locking down apps, and troubleshooting one by one. The risk? Delayed rollouts, unpatched devices, and higher chances of data leaks. This isn’t a rare scenario.

For months now, journalists and cybersecurity experts, including UpGuard, have been following the movements of the hacker collective “Scattered Lapsus$ Hunters,” a sort of supergroup of the already well-known cybercriminal entities ShinyHunters, Scattered Spider and Lapsus$. Now, this collective has launched a website where they can extort payment from entities in return for delisting and deleting their data.

Comparing MDR and MXDR: Key Differences, Suitability, and Trustwave's Solutions As cyber threats grow in frequency and sophistication, organizations are increasingly turning to managed security services to help monitor, detect, and respond to attacks. Two prominent security solutions have emerged to these needs: Managed Detection and Response (MDR) and Managed Extended Detection and Response (MXDR).

A vulnerability on a popular source-code editor has been recently released along with a proof-of-concept (POC) exploit, but the security community isn’t so sure that it’s a legitimate flaw. In this article, we look at CVE-2025-56383, discuss what developers are saying in the wild, and provide our experts’ take on the issue.

Organizations worldwide are increasingly developing or implementing AI-powered tools to streamline operations and scale efficiently. However, the benefits come with unpredictable risks unique to AI that need to be mitigated with the right safeguards. ‍ One of the biggest AI security challenges is the lack of formalized oversight. According to Vanta’s State of Trust Report, only 36% of organizations have AI-informed security policies in place or are in the process of building them.

SAST (Static Application Security Testing) tools are crucial for DevSecOps, enabling automated code analysis to identify vulnerabilities early in the development lifecycle. They analyze source code without execution, detecting issues like SQL injection, XSS, and buffer overflows. Popular SAST tools used by DevSecOps teams include Mend, Checkmarx, Snyk, Veracode, BlackDuck, SonarQube, and Semgrep. Integrating SAST into CI/CD pipelines ensures continuous security checks as code is developed.

In the first half of 2025, more than 742 million attacks were recorded across 600+ financial sites, according to the Indusface State of Application Security Report: Banking and Financial Services, underscoring a 51% year-over-year surge in threats. Bots were the most persistent threat, detected on 95% of applications, where they powered campaigns to crack credentials, scrape sensitive data, and exploit payment systems.