Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The CyberShield Event | Safeguarding The Digital Landscape

Obrela's inaugural event in KSA about Cybersecurity. A line up of international speakers and honoured guest were present to discuss intriguing topics. Our CEO, George Patsis, commenced the presentations by addressing the prevailing challenges in CyberDefense and highlighting the emergence of the new Cyber Risk Landscape. Furthermore, we delved into an in-depth discussion regarding the significance of adhering to Cyber Assurance standards, the advancements in Modern Threat Intelligence Centers, the utilization of AI to strengthen CyberDefense capabilities, and the intricate relationship between Cyber Criminals and Nations.

Challenges in Cyber Insurance

Join us as we explore the intricacies surrounding cyber insurance in the face of potential attacks from various malicious actors, including state-sponsored hackers. We delve into recent developments, such as Lloyds of London's revised terms, sparked by events like the staggering $1.4 billion loss suffered by Merck. The question arises: How can insurers distinguish state-sponsored attacks from other cyber threats? We analyze the implications of blanket clauses that may deter individuals and organizations from purchasing insurance, given the uncertainty surrounding their coverage.

How to work with Jit's backlog

Welcome to Jit! In this video, we'll introduce the "Backlog" page. This page displays all the vulnerabilities that Jit has found upon onboarding and forward. To open a finding in the Backlog window, simply click on it. On the right, you can see details of the finding, such as where it is located in GitHub and which tool was used to find it. If you want to ignore multiple findings, no problem. You can easily change their status. You can filter the backlog by choosing a specific tool from the drop-down menu. In this example, we are filtering by "KICS", one of our cloud security tools.

AI Biases: Why Achieving Beneficial AI is Challenging

In this video, we delve into the complex issue of AI biases and the challenges they pose in creating a truly beneficial AI system. Join us as we explore the diverse perspectives surrounding the selection of biases in AI models, which often results in different representative AIs even within the same country. We discuss how individuals seek to have their own biases reflected in the AI models they use, or criticize them for perceived biases, highlighting the irony in contrasting approaches between countries like China and other nations. Moreover, we shed light on the elusive quest for objective determination of what's best for the majority, emphasizing the absence of a universally accepted method.