An integrated intent-driven verification and distributed monitoring framework strengthens network infrastructure security by uniting real-time traffic analysis, machine learning-based threat detection ...

The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...

As we navigate an increasingly digital landscape, the threats to our enterprise security seem to multiply at an alarming rate. From sophisticated malware attack ...

Research combining deep learning methodologies with Analytic Hierarchy Process establishes comprehensive frameworks for data security risk ...

Modern LLMs typically return answers through a token-by-token streaming process, where each token is packaged into a separate ...

Yesterday, a number of platforms like X and ChatGPT went down due to a massive outage with Cloudflare. Users on these ...

Every 39 seconds, somewhere in the world, a new cyberattack is launched — and far too often, it’s not a sophisticated hack but the reuse of legitimate credentials already exposed online. As data ...

Learn how to implement risk-based authorization for enhanced security in identity and access management. Protect your applications from unauthorized access and data breaches.

Shadow AI is the unsanctioned use of AI systems without formal institutional oversight. In health care, it means pasting patient details into public chatbots.

According to the 2025 DORA report, 90% of tech professionals report using AI in some aspects of their daily work. Yet that ...

The BFSI sector is undergoing a profound transformation, driven by the rapid adoption of Artificial Intelligence (AI). No ...

Law enforcement is raising concerns about a digital blind spot that may help those responsible for violence and extremism ...