Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

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.

Choosing a pen testing company today is no longer a technical decision; it’s a political one. You’re balancing vendor promises, dev timelines, board expectations, & a dozen tools.

Internxt has always placed privacy and security at the core of everything we do. Today, we are proud to announce that we have successfully achieved ISO/IEC 27001:2022 compliance, a globally recognized standard for information security management. This milestone reflects our unwavering commitment to protecting our users’ data through rigorous security practices and independant audits.

Artificial intelligence is reshaping financial services, from fraud detection to personalized banking assistants. But with innovation comes risk. AI agents—particularly those powered by large language models (LLMs)—are increasingly being embedded into financial workflows. While they promise efficiency, they also introduce a new layer of data compliance challenges.

Credential replay remains one of the most efficient ways attackers turn stolen usernames, passwords, or tokens into real account access. Verizon’s 2024 DBIR shows that over 40% of breaches involve stolen credentials, underscoring the durability of this tactic. Even strong authentication is not immune. Techniques like pass-the-cookie and adversary-in-the-middle phishing allow attackers to replay tokens and sidestep MFA.

This is a fascinating moment. Whether you think Generative AI is over-hyped or not, our technology landscape has been shocked by capabilities we couldn’t imagine a few years ago. And I do mean shocked. What’s underway is too rapid and uncanny to describe in terms of evolution. We are living through something different.

A survey by Gartner found that 62% of organizations have been hit by a deepfake attack in the past twelve months, Infosecurity Magazine reports. Akif Khan, senior director at Gartner Research, told Infosecurity Magazine that deepfakes are currently being used in social engineering attacks to impersonate executives and trick employees into transferring money. “That’s trickier because social engineering is a perpetually reliable thing for attackers to use,” Khan said.

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).