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

CodeHunter today announced Zero Trust for Code, an emerging new cybersecurity category that determines whether software should be trusted to execute based on behavioral intent analysis performed ...

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 ...

Interactive sandbox analysis exposes phishing hidden in HTTPS and trusted infrastructure, helping SOCs detect attacks and prevent credential theft.

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, ...

Burlington, Mass. " March 5, 2009 " Veracode Inc., the leading provider of on-demand application security testing solutions, today announced that it has expanded its coverage for detecting backdoors ...

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.

Generative AI – specifically ChatGPT – should not be considered a reliable resource for detecting vulnerabilities in developed code without crucial expert human oversight. However, machine learning ...