When was the last time a cybersecurity process at work made you want to scream? Maybe it was a password requirement so complicated you had to write it down (defeating the purpose), a phishing simulation test that felt more like a trap than a lesson, or a confusing security warning pop-up that interrupted your work. Or maybe you’re on the other side of the equation, working as a cybersecurity professional who is wrangling a half dozen disconnected dashboards, drowning in alerts (all flagged “urgent”), or struggling to make a sound judgment call at midnight because you’re tired and your tools

Recent cyberattacks highlight the growing threat to operational technology (OT) used in critical infrastructure. Whether you work for an infrastructure owner/operator or are a consumer of an infrastructure service, the events of the past few weeks have made it clear that cybersecurity is an important factor in ensuring the safe and reliable delivery of critical goods and services. For OT owners/operators, it can be challenging to address the range of cybersecurity threats, vulnerabilities and risks that can negatively impact their operations, especially with limited resources. Modern

As AI matures, enterprises and customers are rapidly deploying agents seeking to unlock the next level of automation and productivity. Agentic AI shows potential to handle a multitude of use cases, from buying personal items on Amazon to customer service applications to enterprise security and software development. However, early agentic deployments are repeating a familiar pattern: prioritizing feature development and immediate value over security. This strategy is understandable. Strategic, financial and technical leaders want to demonstrate ROI for their AI investments. Enterprises are