The increasing digitalization of banking services has led to a surge in financial fraud, necessitating advanced detection ...

South Korean telecommunications giant SK Telecom experienced a significant data breach in April 2024, compromising sensitive customer information through a malware attack. The incident exposed ...

Financial institutions deploy fraud detection models that need dedicated tensor processing units ... AI and Machine Learning (ML) technologies can be used to optimize resource allocations. For ...

Crypto and AI both need a lot of processing power. Crypto for transaction verification and mining, and AI for data processing and machine learning ... malware and cyber threats, therefore, security is ...

Its robust detection model adapts weekly to counter new bypass strategies ... The platform uses natural language processing (NLP) and machine learning algorithms to analyze text, compare it against a ...

Object recognition software is used by law enforcement to help identify suspects, by self-driving cars to navigate roadways ...

The Artificial Intelligence and Machine Learning (“AI/ML”) risk environment is in flux. One reason is that regulators are shifting from AI safety ...

Can foundation models, combined with AI technology, improve SIEM systems while enhancing security efficiency between these ...

Object recognition software is used by law enforcement to help identify suspects, by self-driving cars to navigate roadways and by many consumers to unlock their cell phones or pay for their morning ...

Artificial intelligence (AI) is transforming industries, but it’s also empowering cybercriminals to launch sophisticated, ...

The ease of access to malware development tools and anti-detection techniques has lowered the barrier for entry into cyberattacks, with script-kiddies and automated attacks becoming more prevalent.