Most organizations are still catching up on AI. Quantum computing is advancing faster than many leaders expected. This article breaks down why the convergence of both technologies is already a present strategic challenge, not a future one, and what your organization needs to be doing right now to prepare.

U.S. operational technology (OT) and critical infrastructure (CI) face growing cyber threats as advances in AI introduce new risks to an already complex landscape. This article explores key vulnerabilities and recommendations for strengthening OT/CI security, emphasizing that preparing for AI-enabled threats starts with getting cybersecurity fundamentals right.
As AI takes over more of the technical workload in cybersecurity, the skills that separate strong leaders from the rest are increasingly human. This article breaks down six capabilities — from translating risk into business language to building psychological safety and navigating ethical complexity — that will define the next generation of cybersecurity leaders. If you lead a security team, aspire to, or develop people who do, this one is worth a read.
The cybersecurity talent gap isn’t a people problem, it’s a pipeline problem. Organizations are still running a hiring playbook built for a smaller, simpler era: rigid degree requirements, narrow certification checklists, and experience catch-22s that filter out motivated, capable people before they ever reach a hiring manager.

As AI transforms cybersecurity, technology alone is no longer the differentiator. Human judgment, governance, and strategic leadership are. This article explores why organizations must move beyond “human in the loop” to embrace a “human in the lead” approach that keeps people accountable for defining mission, risk, and resilience.