Latest cybersecurity reporting from selected sources.

APIs are the backbone of modern applications, enabling connectivity and functionality across diverse systems. However, the growing complexity of API ecosystems introduces vulnerabilities that attackers exploit to disrupt operations, steal data, or launch other malicious activities. Without real-time visibility and robust threat detection, businesses face significant risks.

In today's digital landscape, your business data is more than just numbers—it's a powerhouse. Imagine leveraging this data not only for profit but also for enhanced AI and Machine Learning (ML) threat detection

The use of AI in cybersecurity is growing rapidly and is having a significant impact on threat detection, incident response, fraud detection, and vulnerability management. According to a report by Juniper Research, the use of AI for fraud detection and prevention is expected to save businesses $11 billion annually by 2023. But how to integrate AI into business cybersecurity infrastructure