Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Let’s be honest. Most cloud security alerts feel like trying to read a book with half the pages missing. You get bits and pieces — “unusual login,” “suspicious process,” “network traffic spike” — but no real explanation of what actually happened or what you should do about it. That’s the daily reality for security teams. You’re not just fighting attackers; you’re fighting for context.

Modern IT is innately complex, which leads to matching complexity in the security environment and indeed for managing privileged accounts. Companies rely on multi-cloud and hybrid cloud deployments to get more flexibility and to enhance resilience. But the flipside of a distributed, decentralized IT approach is a variety of security models across platforms. That creates a broad attack surface, and a complex web of privileged accounts.

As organizations increasingly rely on connected devices to drive efficiency and innovation, the Extended Internet of Things (XIoT) — covering industrial control systems (ICS), operational technology (OT), Internet of Things (IoT), and Internet of Medical Things (IoMT) — has rapidly expanded. This greater connectivity often drives increased vulnerability as critical assets are exposed to sophisticated threats.

If your organization handles United States federal government data in cloud environments, it’s often a requirement to use FedRAMP-authorized solutions. The Federal Risk and Authorization Management Program (FedRAMP) provides consistent standards for protecting unclassified data that passes between the federal government and privately owned third parties.

Mike Wilkes has had a career many cybersecurity professionals could only dream of. An adjunct professor, former CISO of Marvel and MLS, member of the World Economic Forum, drummer, and board member at the National Jazz Museum in Harlem, his interests and achievements are as eclectic as they are impressive.

Software development is in the midst of a monumental shift, powered by the rapid advancements in Artificial Intelligence. AI isn't just changing how we build software; it's transforming the very nature of applications themselves. As AI-native applications become more prevalent, we're also seeing new, complex security threats emerge. Traditional security approaches aren’t designed for the dynamic and often unpredictable nature of Large Language Models (LLMs), agents, and other AI-driven systems.