Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Data governance tools fall into two categories that buyers often conflate: catalog platforms for data quality and lineage, and access governance platforms for proving who can access sensitive data and demonstrating control to auditors. Mid-market teams under pressure from GDPR, HIPAA, SOX, or PCI DSS typically need both.

In a landscape where executive teams demand immediate AI integration, engineering and security leaders find themselves navigating a complex operational balancing act. To explore how organizations can accelerate delivery pipelines without introducing fatal security risks, JFrog recently hosted a virtual panel discussion titled “Agentic Software Delivery in 2026.

Most AI deployments run without formal controls over what data they can reach, what decisions they make, or how they behave in production, yet regulators now require answers to all three. AI governance tools address these risks across three distinct layers: model governance, data access governance, and observability. Most enterprises need coverage across more than one layer. AI governance has shifted from a voluntary best practice into a formal compliance requirement.

At the World Economic Forum cyber meeting in Geneva recently, I had an interesting conversation with Vinh Nguyen, who is a strategic security advisor and Senior Fellow for AI at CFR. I wanted to know from him how he sees runtime governance in agentic AI working out practically and what approaches actually work. One of the challenges he mentioned was that yes, we need runtime governance to provide continuous and real time assurance that agents are doing what they are supposed to be doing.

Higher education faces a unique challenge when it comes to managing sensitive data governance. Unlike a more centralized corporate environment, colleges and universities often operate across many semi-independent schools, departments, research groups, and administrative teams. Each may have its own systems, priorities, workflows, and level of security maturity. That structure is part of what makes higher education work. It supports research, academic flexibility, and departmental independence.

Security teams are under more pressure than ever, and most of them believe they’re keeping up. That confidence, it turns out, may be the most consequential finding in the JFrog 2026 Software Supply Chain Security State of the Union.

A board committee charter is more than governance paperwork; it’s the rulebook that keeps the board’s engine humming when pressure rises and complexity grows. At its best, a charter makes responsibilities visible, removes guesswork, and creates a predictable rhythm for oversight so directors and management spend less time arguing about who should do what and more time solving the right problems.