Beyond the Hoodies: Decoding the Realism of Hacking in Hollywood

A New Risk Profile: The Critical Challenge of AI Security

The era of rapid AI development, also known as the AI Spring, is pressuring companies to shorten their Time-to-Market drastically. In order to stay competitive, they rush to release AI-based products, often sacrificing thorough development and testing. This rush results in underdeveloped AI systems that lack robustness and reliability. New machine learning (ML) algorithms, which are crucial to these developments, may enter production without adequate large-scale review, increasing the risk of ineffective or potentially hazardous implementations. The lack of software development resources increases these risks and challenges even further. Today’s high demand for AI expertise significantly outweighs the supply of skilled professionals and the high costs of computational resources, like GPUs, reduces the general access to AI models. The situation gets even trickier because of data quality, where training data does not meet the expectation and need for high-quality and relevance, resulting in weak AI outputs.  

From an AI Revolution to AI’s Evolution: What’s to come in 2024?

IT vs. OT Cybersecurity: Understanding the Key Differences

Historically, information technology (IT) and operational technology (OT) environments were designed to operate independently, be managed by different teams with different objectives, and had no cross over between the two. However, this has changed dramatically over the past decades — mostly due to the acceleration of digital transformation. Organizations in all sectors have since become increasingly reliant on newer types of cyber-physical systems and other technologies that both require and continue to expand connectivity between IT and OT. As a result, these previously isolated environments are converging, giving rise to undeniable business benefits ranging from greater efficiency and sustainability to innovation. Unfortunately, this convergence is also fueling new risks and challenges — particularly when it comes to IT and OT cybersecurity.

Cracking the Code: Unveiling the Top 5 Enterprise Cybersecurity Challenges of 2023

When Too Much of a Good Thing is Bad: How to Tame the Cybersecurity Alert Monster  

Demystifying the MITRE ATT&CK Chain: Building Cyberresilience with AI

Will ChatGPT democratize cybercrime?

A Brief Introduction to Artificial Intelligence and Machine Learning

Cyber Trends 2023 is Now Available.