Engineering teams face a dual mandate: ship high-quality features faster and keep the underlying infrastructure secure. As development velocity increases, so does the complexity of the tools, libraries, and third-party components that make up your applications. Software Supply Chain Management is the discipline of securing these interconnected components.

COMMENTARY: When the United States and Israel launched coordinated strikes against Iran on February 28, the security community mobilized around the visible response. I’ve watched that response for two weeks: teams tracking hacktivist DDoS campaigns, incident counts climbing, news coverage following close behind.

Most mobile security workflows end in a familiar way. A scan runs, a report is generated, and the output looks reassuring. There are no critical issues, maybe a few medium findings, nothing that blocks a release. The process completes, the team moves forward, and the app ships. At that moment, the assumption is clear. The app has been tested. The risk is understood. But there is a question that rarely gets asked, and it changes the entire conversation.

Welcome to the team! New hires hear this phrase often during their first few weeks on the job. Onboarding new employees is essential as it sets the tone for company culture, expectations, and values. You use this time to teach new employees about their roles, workplace conduct, and benefits. But one critical value often gets left off the HR checklist: cybersecurity awareness. Protecting sensitive data is no longer just the IT department’s job.

Another SaaS integration for the books! Incidents can now be automatically generated in the portal from email addresses in ProofPoint alerts. These are then linked to portal users, as well as any devices those users are logged in to.

Cisco polled its major enterprise customers before RSA 2026 and found something astounding. 85% of large enterprises are experimenting with AI agents. Only 5% have moved them into production. That's not a technology gap. The models work. The tools exist. The 80-point spread between experimentation and production is a governance gap. It's also a context gap.