According to Teleport, Artificial Intelligence (AI) impersonation has become the most difficult vector for cybersecurity professionals to protect companies against.

Palo Alto Networks' Unit 42 researchers have revealed a new adversarial technique they call "Deceptive Delight" that can jailbreak Large Language Models (LLMs) during an interactive conversation by sneaking in a malicious instruction between harmless o

Anti-malware vendor Avast recently published a free decryption tool to help victims to recover from the Mallox ransomware attacks.  Mallox ransomware was fisrt observed in 2021, and is also known as Fargo, TargetCompany, and Tohnichi.

According to a new report by Microsoft, ransomware attacks on the healthcare sector are rising and putting lives at risk.

According to a new study by researchers at Fortinet, nearly 70% of business leaders believe their employees lack critical cybersecurity knowledge, a sharp increase from 56% in 2023.

The United States Department of Justice and the cybersecurity agency CISA have started seeking comments on a proposed rule for protecting the personal data of Americans against foreign adversaries.

Researchers at SentinelOne have observed a new macOS malware family dubbed "NotLockBit" that poses as "LockBit" ransomware. NotLockBit, which is written in the Go programming language, targets both Windows and macOS systems.

The Sysdig Threat Research Team (TRT) has reported that cloud-based cyberattacks increased significantly in 2024 as threat actors used new methods to exploit cloud resources.

The "Alphv/BlackCat" ransomware gang appears to have resurfaced as "Cicada3301," which is written in the Rust programming language.

Researchers at Iowa State University are building zero-trust cybersecurity tools to protect power grids that include renewable resources such as wind or solar farms.

Germany's CERT@VDE has notified organizations of several critical and high-severity vulnerabilities found in industrial routers.

Researchers at the University of Pennsylvania's School of Engineering and Applied Science (Penn Engineering) discovered that certain features of Artificial Intelligence (AI)-governed robots have previously unidentified security vulnerabilities.