Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Telehealth and remote work have become a major part of modern healthcare delivery. Clinicians, IT teams and third-party providers now access Electronic Health Records (EHRs) and billing platforms from home offices, mobile devices and distributed environments. As a result, healthcare organizations must secure access to Protected Health Information (PHI) beyond traditional on-premises environments.

Many organisations take a phased approach to deploying password managers, starting with IT and security teams and planning to expand later. This approach is often shaped by practical constraints such as budgets, licensing and the need to balance competing priorities. Partial cybersecurity coverage leaves organisations exposed to breach paths that are actively exploited.

Gartner released its 2025 Magic Quadrant for Exposure Assessment Platforms in November 2025. The new categorization detailed in the report is something we view as a natural progression in response to the way enterprise risk has evolved over the years. It’s a move away from viewing vulnerabilities in a vacuum and looking at a more complete picture of the risk today’s enterprises face.

Ecommerce platforms represent one of the most consistently targeted areas of the modern digital estate. They process payment data, store personal information, integrate with logistics and marketing systems, and underpin revenue for many large businesses. The combination of financial value and sensitive data makes ecommerce security vulnerabilities an attractive target for attackers.

Periodic vulnerability scans should no longer be an acceptable standard by any security-minded organization. What is needed is the ability for MSSPs to quickly identify and prioritize risks across all client environments. To enable this capability LevelBlue has developed and rolled out LevelBlue Exposure Management for Partners. This solution delivers continuous visibility, meaningful context, and clarity around how risks could impact the business.

When you need to use a proxy to keep your zero trust environment secure, it often comes with a cost: poor performance for your users. Soon after deploying a client proxy, security teams are generally slammed with support tickets from users frustrated with sluggish browser speed, slow file transfers, and video calls glitching at just the wrong moment. After a while, you start to chalk it up to the proxy — potentially blinding yourself to other issues affecting performance.

For years, developers have faced a frustrating trade-off when it comes to application security testing: you could have speed, or you could have depth. Deep, comprehensive scans often meant waiting for results. Fast scans, on the other hand, often missed critical vulnerabilities or flooded the backlog with false positives. But as development cycles accelerate and AI-generated code introduces new risks at scale, this choice is no longer acceptable.

Running virtual machines and containers side by side typically means managing two separate infrastructure stacks with different tools and workflows. OpenShift Virtualization Engine solves this by letting VMs run as native Kubernetes resources within Red Hat OpenShift. You get one platform, one interface, and consistent policies across your entire environment.

New research shows the cybersecurity workforce is undergoing a major shift as AI transforms security operations. While leaders remain deeply committed to the field, many are facing increasing burnout, evolving skill demands, and growing responsibility for governing AI-driven systems. The future cybersecurity leader will need to balance technical expertise with communication, business alignment, and AI oversight.

For many engineering teams, CI/CD security appears to be working. Static scans run automatically. Vulnerabilities are flagged. Security checks exist somewhere in the pipeline. Yet issues still surface after release. The reason is rarely the absence of tools. More often, it is the absence of structural enforcement across the build lifecycle. Security controls run inside the pipeline, but they do not always guarantee that the artifact being tested is the same artifact that ultimately reaches users.