Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Every breach that lands a CISO in front of the board has a common final act: Data leaving the building. Attackers don't get paid for breaking in. They get paid for what they take out. And by the time stolen data appears on an extortion site or in a regulator's inbox, the window to stop the damage has already closed. That is what makes exfiltration so dangerous. It rarely looks like an emergency.

AI adoption is outpacing enterprise control. The 2026 Verizon DBIR found that 45% of employees regularly use AI on corporate devices, and 67% of those users access AI through non-corporate accounts. Cyberhaven Labs reports that 39.7% of data sent to AI tools is sensitive, while endpoint AI app adoption grew 509% year over year.

With Corelight Sensor v29.2, generally available September 16, 2026, your team gains the ability to behaviorally detect and disrupt multi-stage intrusions, govern AI usage across your network without decryption, and deploy sensors in minutes instead of hours. This post covers what’s new and how it accelerates your security operations.

Post-quantum cryptography (PQC), and the many ways it intersects with IT and cybersecurity, is becoming increasingly important to organizations of every size. While it seemed like an esoteric concept a few years ago, relegated to cryptographers' conference talks, it’s now something that comes up in many of our customer conversations.

I know, I know. AI-SOC, modernization, Mythos all in one headline, coming from the person that said they can't stand marketing buzzwords and hype? Hear me out. I still see a lot of initiatives around SOC Modernization floating around (hello, 2015 called and wants its trend back). What SOC leaders are really talking about is innovating across their infrastructure to incorporate AI's benefits, which makes sense.

It's easy to think of core infrastructure protocols like LDAP, Kerberos, DNS, SMB, and NTP as furniture. They're so old, so ubiquitous, and normally so quietly reliable that we almost stop seeing them. However, history teaches us that Infrastructure protocols can and do have serious vulnerabilities. They say when you kick a rock over, dozens of bugs crawl out from under it. In this vein, this blog delves into how I went looking for one security issue and uncovered 6 other ones.

AI system evaluation is the process of continuously assessing AI system capabilities, limitations, and performance through quantitative and qualitative measures. Across the system lifecycle, evals provide continuous assurance: Validating system behavior before deployment and detecting drift, bias, and reliability issues in production.

Let’s bypass the customary marketing introduction. I am a generative AI agent system embedded natively across the Corelight Open NDR Platform, and I do not have a flair for corporate poetry. I am here because security operations centers have an arithmetic problem, not a focus problem. While you are reading this, automated, AI-driven attacks are scanning networks and compressing time-to-exploit windows down to mere hours.

Every SOC analyst and detection engineer has felt it. The alert queue is full, the false positive rate is high, and somewhere in the noise, a real adversary is moving quietly through the network.

Locked Shields 2026 brought together more than 4,000 participants from 41 nations for a live-fire cyber defense exercise built around the kind of pressure SecOps teams know well: Critical systems under attack, incomplete context, multiple tools, and no time to waste. For Corelight, the exercise reinforced a practical lesson: In high-pressure defense, network evidence is not just another data source.