Historically, enterprise organizations have not sufficiently monitored their employees' activities within internal business applications. They were essentially (and blindly) trusting their employees.

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 ...

Know how wallet security tools detect malicious permissions in AI-crafted scams. Learn how simulators and risk scanners ...

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 ...

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.

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, ...

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 ...

Discover how AI strengthens cybersecurity by detecting anomalies, stopping zero-day and fileless attacks, and enhancing human analysts through automation.

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 ...