A new campaign exploiting machine learning (ML ... this method to deliver fully functional malware. The researchers believe the appeal of ML formats is because many security tools do not yet support ...

As AI becomes more central to enterprise security, ignoring adversarial risks is like leaving the back door wide open.

Artificial intelligence (AI) and machine learning (ML) are now inextricably linked to the software supply chain. ML models, ...

Budoen, A. , Zhang, M. and Jr., L. (2025) A Comparative Study of Ensemble Learning Techniques and Classification Models to Identify Phishing Websites. Open Access Library Journal, 12, 1-22. doi: ...

OS has been perceived as the safer smartphone platform for years, but if you look closely, Android phones offer more robust ...

Contributor Content In 2025, integrating artificial intelligence (AI) and machine learning (ML) into cybersecurity is no longer a futuristic ideal but a functional reality. As cyberattacks grow more ...

Fake Alibaba Labs AI SDKs hosted on PyPI included PyTorch models with infostealer code inside. With support for detecting ...

AI is transforming the cybersecurity landscape—empowering attackers with powerful new tools while offering defenders a chance ...

AI technologies enable financial institutions to enhance financial crime detection, optimize resources and ensure compliance.

Cyberattacks are no longer manual, linear operations. With AI now embedded into offensive strategies, attackers are ...

Fintech is reshaping how businesses manage finances, but staying ahead feels like chasing a moving target. Customer needs ...