Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

When people hear the word cybersecurity, they often picture analysts racing to stop an attack in real time. Those roles are absolutely critical, but a lot of effective security happens long before an alert ever appears. As Director of Operational Intelligence (OpsIntel) at LevelBlue, my job isn't to respond to every incident myself.

You deployed Zscaler, passed the audit, and got leadership's sign-off. The project closed, and the dashboard has been green ever since. That moment is usually right about when the real risk starts to take shape.

LevelBlue has been named a U.S. News & World Report 2026–2027 Best Company to Work For, earning recognition across three categories: Best Companies to Work For Overall, Best Companies to Work For in Information Technology, and Best Companies to Work For in the Midwest. We are proud of this recognition because it reflects something central to who we are: our people.

Most cyber investigations don’t begin at the beginning. Rather, they begin at the end, after systems are locked, data is exposed, and operations have already been disrupted. The outcome is visible, but the cause is not. From there, everything becomes a process of working backward on an incomplete picture. That’s the unique puzzle that keeps Devon Ackerman, Global Services Leader of Digital Forensics and Incident Response (DFIR) firmly planted in the world of chaos every day.

Originally published by ChannelPro. There is an ongoing debate in the cybersecurity industry about whether vendors should go directly to customers or instead become a part of a wider partnership network. The standard argument is that consolidation of platforms and AI-driven cost-of-service delivery makes the traditional model of a channel ecosystem redundant. However, this is largely incorrect, at least when it comes to the SMB and mid-market segments where most UK businesses sit.

Threat hunting has become a cornerstone of modern cybersecurity programs. As organizations collect increasing volumes of telemetry across endpoints, cloud environments, identities, applications, and networks, hunting teams have unprecedented visibility into potential adversary activity.

Summer might mean slightly fewer meetings, lighter inboxes, and the illusion of breathing room (in a perfect world), but we all know that attackers don’t take vacations, so neither should the fundamentals that keep your organization secure. If anything, now is the perfect time to tackle the “homework” that often gets pushed aside during busier quarters. Recent incident patterns continue to reinforce a straightforward reality: breaches are rarely the result of a single control failure.

When people think about cybersecurity, they usually think about protecting passwords, laptops, or email accounts. Phone numbers don't make the list very often. Maybe they should. A phone number by itself isn't especially dangerous. Someone can't hack your phone simply because they know your number. But it is often the starting point for a much larger attack.

Most security providers can describe what they should be able to do. Fewer can demonstrate what they actually see, track, and respond to in live environments. That distinction matters more now than it did even a year ago. Attack surfaces have expanded beyond users and endpoints into machine identities, autonomous systems, and internet-facing infrastructure rapidly. At the same time, detection claims have become broader (often without a corresponding increase in observable capability).

For years, enterprise security focused on protecting users, endpoints, applications and data. Today another identity is entering the enterprise. AI agents. Unlike traditional chatbots that simply answer questions, modern AI agents can perform tasks on behalf of users. They can search corporate knowledge, summarize documents, create reports, interact with business applications and, with appropriate permissions, execute multi-step workflows.