Research

Our research highlights the problems faced by organizations with regard to API vulnerabilities and offers actionable solutions and practical steps to secure API systems.

Businesses worldwide are increasingly moving to the cloud. The demand for remote work, for instance, has driven a surge in cloud-based services, offering companies the flexibility and efficiency that traditional data centers often lack.

We are at the dawn of a new era in computing, one based on the principles of quantum mechanics. Quantum mechanics deals with the smallest particles in our universe, the building blocks of atoms, that form the materials of our physical world.

This article provides a comprehensive overview of the necessary adjustments and strategies CISOs need to implement to safeguard their organizations’ assets, maintain business continuity, and uphold public trust amid conflict situations.

It’s projected that by 2027, more than 90% of global organizations will be running containerized applications, while 63% of enterprises already adopted a cloud-native strategy in their businesses in 2023.

By 2025, Gartner has projected that over half of enterprises’ expenditure on software, infrastructure, business process services, and system infrastructure will be directed toward cloud-based solutions. We have seen this trend in enterprise spending both during and after the pandemic, on top of how fast companies are shifting to the cloud.

The cybercriminal abuse of generative AI (GenAI) is developing at a blazing pace. After only a few weeks since we reported on Gen AI and how it is used for cybercrime, new key developments have emerged. Threat actors are proliferating their offerings on criminal large language models (LLMs) and deepfake technologies, ramping up the volume and extending their reach.

The adoption of large language models (LLMs) and Generative Pre-trained Transformers (GPTs), such as ChatGPT, by leading firms like Microsoft, Nuance, Mix and Google CCAI Insights, drives the industry towards a series of transformative changes. As the use of these new technologies becomes prevalent, it is important to understand their key behavior, advantages, and the risks they present.

The increased adoption of technologies like artificial intelligence (AI), machine learning (ML), large language models (LLMs), and high-performance computing (HPC) underscores the growing need to prioritize the security of graphics processing units (GPUs).