Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

With the surge in remote work and BYOD (Bring Your Own Device) policies, securing corporate data across thousands of mobile endpoints has become a critical challenge. In fact, over 80% of small business owners rely on mobile devices for work daily (Zen Business), making mobile device security a critical aspect for businesses. To meet this requirement, businesses are opting for Mobile Device Management (MDM) software at scale.

As organizations continue to adopt more SaaS applications, managing access across those systems has quietly become one of the most complex operational challenges for IT teams. Identity providers, collaboration tools, cloud platforms, and business applications all have their own access models, their own admins, and their own ways of tracking permissions. In most organizations, there still isn’t a truly streamlined or automated way to handle access end to end.

Why Cloud Visibility Has Become Such a Pain Point for Enterprises Managing cloud visibility today feels overwhelming because your environment expands in ways you cannot always track. New cloud accounts appear before onboarding is complete, SaaS applications connect to production systems without security review, and identities multiply each time a new service is deployed. You are expected to monitor and protect an environment that evolves faster than documentation or tooling.

Identity security didn’t suddenly fail us. It didn’t break. It just grew apart. Many agile changes started as smart, necessary business decisions – cloud adoption, remote work, SaaS acceleration, mergers and acquisitions – all of which quietly reshaped identity into something far more distributed than it was ever designed to be. Each move solved a real problem in the moment. But collectively, they created something harder to manage: Identity siloes that don’t communicate.

AI-assisted development crossed the “cool demo” threshold long ago. It is now a daily workflow. Generate code. Refactor. Run tests. Spin up infrastructure. Deploy.

In security, we love to talk about tools. Detection engines, behavioral analytics, identity governance platforms, and data classification tags. We invest millions in building systems that can track, monitor, and block unauthorized activity. And when it comes to insider risk, many organizations respond by doubling down on controls implementing tighter access permissions, more restrictive policies and stricter monitoring.

Today Coralogix announced U.S. Department of Education Sponsorship for FedRAMP Authorization. Government agencies currently face a critical balancing act. On one side, there is an urgent mandate to modernize operations and adopt artificial intelligence to improve services. On the other, there are strict requirements for security, compliance, and data sovereignty that cannot be compromised.

Here’s a conversation that keeps happening: A compliance team passes their PCI audit in June. By September, they’ve had a card skimming incident traced to a third-party script nobody knew was running on their checkout page. Their tools didn’t catch it because none of them could actually see what was executing in the customer’s browser. That’s the gap PCI DSS 4.0.1 is forcing everyone to address.

Cybersecurity risk is no longer an abstract concern relegated to IT teams, it is a material business risk that boards and senior leaders must actively manage.UK government research indicates that around 43% of businesses experienced a cyber security breach or attack in the past year, underlining how common these incidents have become across sector, from small business to large enterprises.

Most teams learn the OWASP Top 10 as a list of application security failures. Injection flaws. Broken access control. Security misconfiguration. Items to scan for, remediate, and close before the next audit or penetration test. But data exposure rarely arrives neatly packaged as a single OWASP finding. When sensitive data leaks, it is almost never because one category failed in isolation.