Business Security

Elections are the cornerstone of modern democracy, an exercise where a populace expresses its political will through the casting of ballots. But as electoral systems adopt and embrace technology, this introduces significant cybersecurity risks, not only to the infrastructure supporting an election but also to the people lining up in polling booths.

This article dives into the practice of “red teaming“. Red team exercises give enterprises valuable insights into their security posture, and promote a culture of continuous improvement. It has become an integral part of global risk management.

This article outlines the strategic risks linked to the growth of natively connected internet of things (IoT) devices that operate outside traditional cybersecurity controls.

With the goal of creating fast, evasive, and sophisticated threats and campaigns, malicious actors are always on the prowl for new technologies to abuse, significant world events to exploit, and mismanaged and vulnerable assets to compromise.

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.