Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

If your login page no longer looks like the rest of your storefront, this isn’t a coincidence; Shopify's platform is changing. Shopify is officially deprecating Legacy Customer Accounts in 2026, with an aim to fully transition to the newer Customer Accounts framework. This shift is part of a broader move toward a more standardized and secure authentication model. While this improves consistency at a platform level, it changes how much control merchants have over the customer experience.

“Passwords are like underwear. You should change them often, and you shouldn’t share them with strangers.” This old adage, often attributed to information security expert Chris Pirillo, has been a cornerstone of cybersecurity advice for decades. As we approach World Password Day 2026, that advice feels more relevant than ever for IT professionals tasked with securing entire organizations.

May the 4th be with you. In celebration of Star Wars Day, here's what a galaxy far, far away can teach us about security. The films work surprisingly well as a case study, and not in the obvious way. It's not the lasers, androids or the lightsabers. It's that the Empire and the First Order both fall into the same trap most security programs walk into every day. In this post, we'll walk through what the films get right about modern security challenges, how AI is making them worse, and what to do about it.

Accelerating security solutions for small businesses‍ Tagore offers strategic services to small businesses. A partnership that can scale‍ Tagore prioritized finding a managed compliance partner with an established product, dedicated support team, and rapid release rate. Standing out from competitors‍ Tagore's partnership with Vanta enhances its strategic focus and deepens client value, creating differentiation in a competitive market.

AI governance is not a policy problem. It’s a visibility problem. Most enterprises are approaching it from the outside in: writing acceptable use policies, issuing guidelines, and hoping employees comply. That approach fails because it operates on assumption rather than evidence. You cannot enforce what you cannot see and most organizations have no reliable way to see what AI tools are actually running inside their environment.