Dark Reading

Detecting Malicious User Behavior Within and Across Applications

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

How Can Transaction Simulation Tools Help Detect Malicious Contract Behavior?

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 ...
Bleeping Computer

Apiiro unveils free scanner to detect malicious code merges

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 ...
Security Boulevard

Threat Detection Software: The Complete Guide to Protecting Your Digital Assets in 2026

The cybersecurity landscape in 2026 presents unprecedented challenges for organizations across all industries. With ...
CSOonline

Poisoned models in fake Alibaba SDKs show challenges of securing AI supply chains

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.
TechRepublic

In security, there is no average behavior

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 ...
Network World

A new way of detecting malicious code

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, ...
Infosecurity-magazine.com

AI Boosts Malware Detection Rates by 70%

Threat intelligence-sharing platform VirusTotal has unveiled new research showing how AI can be used by cyber defenders to enhance malware analysis. Through the research, VirusTotal found that AI is ...
Security Boulevard

AI Threat Detection: How Machines Spot What Humans Miss

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

Organizations are spending billions on malware defense that’s easy to bypass

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 ...
Bleeping Computer

Python info-stealing malware uses Unicode to evade detection

A malicious Python package on PyPI uses Unicode as an obfuscation technique to evade detection while stealing and exfiltrating developers' account credentials and other sensitive data from compromised ...
Dark Reading

'Sleepy Pickle' Exploit Subtly Poisons ML Models

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 ...