Infosecurity outlines key recommendations for CISOs and security teams to implement safeguards for AI-assisted coding ...

Abstract: The article aims to present a study with analysis and systematization of the consequences for cybersecurity following the application of artificial intelligence in generating program code. A ...

A cyber attack hit LiteLLM, an open-source library used in many AI systems, carrying malicious code that stole credentials ...

Third-party resellers and brokers foil transparency efforts and allow spyware to spread despite government restrictions, a ...

Cybersecurity and tech firms are positioning themselves to capture the exploding market for AI “governance.” Why leading ...

It’s often the nature of the job that cloud security teams work with only partial visibility when trying to identify and assess cyber risk. Even when an issue has been identified, assigning ownership ...

UTC, Aikido Security detected an unusual pattern across the npm registry: dozens of packages from multiple organizations were ...

When the U.K. government launched its Cyber Action Plan recently to complement its Cyber Security and Resilience Bill in aid of galvanizing Britain’s cybersecurity posture, there was one interesting ...

Organized modules into dedicated directories and standardized naming conventions for better maintainability.

As AI makes cyber threats more potent, Cyber Magazine looks at the Top 10 Consulting Firms in Cybersecurity, to help secure enterprises from security risks In the age of AI, the global cybersecurity ...

Abstract: Detecting software vulnerabilities in Python code is crucial for maintaining application security. This paper presents a comparative study of static analysis tools, a machine learning model, ...