Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Imagine security data and analytics like a carnival’s hall of mirrors. From convex mirrors that show you a shorter, squatter version of something to the concave mirrors that show a highly magnified image, you see the same object in multiple ways. Every view gives you a different insight and provides a unique vantage point. Online Analytical Processing (OLAP) systems are different mirrors that allow security teams to create focused analytics models for different insights about your security posture.

The problem with cybersecurity risk today? It won’t sit still. Modern risk is messy. It spreads across cloud workloads, third-party services, shadow assets, and developer pipelines. It evolves faster than most teams can keep up. And it rarely announces itself with a neat dashboard alert. Yet many organizations still rely on the old playbook: manual risk assessments, stitched together from siloed tools, delivered days or weeks after they’re already outdated.

Every construction project generates knowledge: lessons learned in the field, submittals and specifications worked through in design reviews, and RFIs that clarify how to build smarter. Yet, when a job is completed, much of that hard-earned wisdom vanishes—lost in inboxes, outdated folders, or disconnected drives. This phenomenon—what some call the knowledge drain—costs contractors more than just time. It leads to redundant work, missed insights, and costly rework.

Identity and Access Management (IAM) is rapidly emerging as the next battleground in industrial cybersecurity. As connectivity increases in operational technology (OT) and IoT environments, the complexity of securing machine and human identities grows. Legacy systems, cultural resistance, and the tension between uptime and security controls make IAM adoption a major challenge for operators.

Already in 2025, more than 25% of our customer invoices at Fireblocks settle in stablecoins. To me, that’s a clear sign they’re becoming a mutually-convenient way to transact for both senders and receivers, particularly across borders. For CFOs, especially those with international operations or customers, it is time to start understanding what stablecoins can do for your business and your clients.

Cyberattacks on operational technology systems increased 87% in 2024 (Dragos 2024), with endpoint access emerging as THE top attack vector for OT and industrial control systems (ICS). This means the same connections vital to maintaining your critical systems, whether a vendor connecting remotely via VPN or an employee logging into a local workstation, represent a potential entry point into your environment.

There is a critical speed-control paradox in the healthcare DevOps landscape: while DevOps best practices dramatically cut software delivery cycles, a lack of confidence in Disaster Recovery readiness, noted by Gartner, opens up room for fragile operations despite increased deployment speed. This gap demands a solution that adds reliability, such as comprehensive backup strategies, to ensure that faster development doesn’t compromise mission-critical systems ignited through DevOps platforms.

As AI becomes embedded across the enterprise — from customer-facing tools to backend automation — it dramatically expands the enterprise attack surface. Models, agents, apps, and data pipelines now span public and private clouds, SaaS, and edge environments, creating a sprawling, opaque risk landscape.

For years, cybersecurity meant defending a clear, defined perimeter. That era is over. Modern organizations are sprawling, borderless, and interconnected in ways security teams were never designed to protect. Employees log in from around the globe, business units spin up SaaS without approval, and third-party vendors extend risk far beyond your control. Attackers no longer need to hammer at a single gateway.

Network teams often risk costly disruptions when aging or unsupported hardware slips under the radar. With Forward Networks’ Network Query Engine (NQE), you can proactively identify devices approaching End‑of‑Sale (EOS) or End‑of‑Life (EOL), plus enforce hardware/software compliance at scale. Get ahead of risks, reduce technical debt, and align your infrastructure with business goals—automatically.