As the 2024 Olympic Games in Paris approach, organizers are intensifying cybersecurity measures in response to warnings from experts and law enforcement agencies about a likely surge in cyberattacks. The Games, set to start on 26 July this year, are projected to sell over 13 million tickets and attract more than 15 million visitors to Paris, generating around 11 billion euros in economic activity.

As we pass the halfway mark of 2024, data breaches remain on the rise. Cybercriminals are finding more and more inventive ways to infiltrate organizations, exploiting vulnerabilities in networks, software, and human behavior. From phishing schemes and ransomware attacks to insider threats and supply chain compromises, the threat of cyber attacks continues. This is bad news, especially for certain industries. The consequences of these breaches extend far beyond financial losses.

Zero Trust maturity might be one of the least understood security buzzwords of our era. The term “Zero Trust” was originally coined over a decade ago and described the principle of not assigning digital trust to any entity, ever, for free. It represented a fundamental paradigm shift from the trust-happy early internet days to the threat-filled cyber landscape we now know. Since then, companies have been striving to make all their systems Zero-Trust mature. As right they should.

Artificial Intelligence (AI) is now integrated into almost every available technology. It powers numerous real-world applications, from facial recognition to language translators and virtual assistants. AI offers significant benefits for businesses and economies by boosting productivity and creativity. However, it still faces practical challenges. Machine learning often requires substantial human effort to label training data for supervised learning.

I recently came across the "Johari Window Model" and thought this would be a good way to gain inspiration to explain the conundrum faced by many cybersecurity customers. The table below shows us the breakdown of the stages that are applicable not just to IT and OT environments but also to other facets of our daily lives. This model can be applied to asset discovery and Fortra's Security Configuration Management (SCM) system.

In the past four years, cyberattacks have more than doubled. Cybercriminals are leveraging emerging technologies like artificial intelligence (AI) to facilitate more sophisticated attacks. Geopolitical tumult has increased cyber risk. Couple these factors with a near-ubiquitous desire for businesses to expand their operations, and it’s easy to understand the need for scaling Security Operations Center (SOC) operations.

Qilin (also known as Agenda) is a ransomware-as-a-service criminal operation that works with affiliates, encrypting and exfiltrating the data of hacked organisations and then demanding a ransom be paid.

The North American Electric Reliability Corporation Critical Infrastructure Protection (NERC CIP) regulations often make exacting demands of Fortra Tripwire's customers, requiring them to update or create new change processes and document those processes in order to comply. In any NERC CIP-centered IT\OT project, there are always crucial indicators of success - even before the project gets underway.

The successful implementation of new tools and processes hinges not just on the technology itself but on meticulous project management. From ensuring secure access to the underlying infrastructure, a new tool will be implemented upon defining clear goals and understanding the security footprint of the service. Even the earliest steps of your rollout can be important in the long run.