Security researchers at Apiiro have released two free, open-source tools designed to detect and block malicious code before they are added to software projects to curb supply chain attacks. The two ...

In the fast-paced world of blockchain and DeFi, the ability to securely interact with smart contracts has become one of the most basic needs for users, developers, and investors alike. From automated ...

A UC Berkeley computer scientist is developing mathematical algorithms based on semantics to help detect malicious code in computer viruses. According to an article about the research in Lab Notes, ...

Fake Alibaba Labs AI SDKs hosted on PyPI included PyTorch models with infostealer code inside. With support for detecting malicious code inside ML models lacking, expect the technique to spread.

Doron Hendler, CEO and co-founder of RevealSecurity, explains the right way and the wrong way to detect malicious behavior. Image: New Africa/Adobe Stock Over a decade ago, the security market adopted ...

Explore real-time threat detection in post-quantum AI inference environments. Learn how to protect against evolving threats and secure model context protocol (mcp) deployments with future-proof ...

Last year, organizations spent $2 billion on products that provide Endpoint Detection and Response, a relatively new type of security protection for detecting and blocking malware targeting ...

Thousands of GitHub repositories were copied with their clones altered to include malware, a software engineer discovered today. While cloning open source repositories is a common development practice ...

Researchers have concocted a new way of manipulating machine learning (ML) models by injecting malicious code into the process of serialization. The method focuses on the "pickling" process used to ...

AI-driven attacks leaked 23.77 million secrets in 2024, revealing that NIST, ISO, and CIS frameworks lack coverage for ...