Know how transaction simulation tools detect malicious contract behavior. Learn to spot wallet drainers, unauthorized ...
It is no longer enough for companies to be sure they are safe from external attack. A comprehensive and up-to-date risk management strategy has to include monitoring employees who have the access to ...
Historically, enterprise organizations have not sufficiently monitored their employees' activities within internal business applications. They were essentially (and blindly) trusting their employees.
Know why ML-driven anomaly detection is crucial for preventing malicious signature requests. Learn how machine learning ...
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, ...
Browser plugins are pieces of code which add features to a browser, such as support for video playback and the ability to display certain file types. Examples include the QuickTime media player and ...
Microsoft bets on deep learning to enhance the Microsoft Defender Advanced Threat Protection (ATP) malicious PowerShell detection feature using a new technique originally developed for natural ...
Most organizations have several security tools to defend the perimeter of the network, but the reality is that these vital perimeter defenses are frequently breached. Once attackers successfully ...
Czech security company AVG has completed a deal to acquire Sana Security, which specializes in detecting malicious software based on its behavior. AVG paid cash for Sana but did not disclose the ...
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 ...
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 ...
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 ...