Sensitive data, like customer information and internal processes, often lurks hidden in employee devices or in unmanaged spreadsheets. This “shadow data” poses a security risk because it’s difficult for IT teams to monitor and protect. Without visibility into this hidden data, organizations can’t effectively enforce security policies, putting them at risk of data breaches. Mishandling sensitive data can have severe consequences.

A buggy rollout or, even worse, a security breach can lead to user frustration, lost trust, and damaged reputation. To keep users happy and your brand protected, you need a robust deployment strategy that balances seamless updates with ironclad security. 32% of customers abandon a brand they love after just one negative interaction. For software teams, this means that every update is a high-stakes moment. Can we ensure both a positive user experience and robust protection during every rollout?

Severless is excellent, right? Faster development and less infrastructure hassle – but those AWS Lambda costs can sneak up on you. Over 70% of AWS customers are using serverless now. Seems like everyone’s jumping on the serverless bandwagon – and for good reason. It speeds up development and cuts down on the nitty-gritty infrastructure stuff. All this is a developer’s dream in a lot of ways.

You know that sinking feeling after you hit “commit”? That moment when you suddenly wonder, “Wait, did I just accidentally expose an API key or hardcode a password?” We’ve all been there, and the risks are no joke. But here’s the good news—there’s a way to ditch that anxiety for good. In 2023, GitHub’s automated scanning blocked over 12.8 million leaked secrets. Code leaks are every developer’s worst nightmare.

Your organization’s data and applications are scattered across multiple cloud platforms and on-premise systems. How do you guarantee security in this sprawling digital landscape? Cloud sprawl is a reality — 76% of organizations grapple with this challenge when they turn to multi-cloud strategies. The rapid adoption also creates complexity and cracks in traditional perimeter-based security. Your attack surface multiplies with users, devices, and data scattered across environments.