Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Every month, thousands of new vulnerabilities flood security feeds, yet many organizations still depend on quarterly scans and static inventories. That means critical flaws on shadow-IT devices or lateral-movement paths go unnoticed until it’s too late. Meanwhile, your team wastes precious cycles chasing low-risk issues while genuine exploits spread unchecked. It doesn’t have to be this way.

Domain-name system (DNS)- based cyber attacks are becoming increasingly complex, and AI will only make managing them even more challenging. According to a recent report, Chief Information Security Officers (CISOs) anticipate a tumultuous season of cyber threats, with low confidence in their abilities to defend against them effectively.

Modern cloud threats move fast. Detection and response has to move faster. Wiz gives security teams the visibility and precision they need to detect real threats across sprawling cloud environments. Torq turns those threat detections into action — instantly. Together, they’re a cheat code for cloud security operations.

Large Language Models (LLMs) provide strong reasoning and data summarization capabilities, making them valuable proxies for a variety of cybersecurity operations tasks. However, their performance can decline when applied to highly specific or enterprise-contextual tasks, particularly if the models rely solely on public internet data.

Running Kubernetes on Amazon EKS? You’re likely already using cert-manager—the open source standard for TLS and mTLS certificate automation in Kubernetes clusters. Today, we’re excited to announce that CyberArk Enterprise Support for cert-manager is now available through AWS Marketplace, giving EKS customers a direct path to operational reliability, compliance, and expert support at scale.

“Too many alerts mean missing the real threats.” Alert fatigue is one of the top threats to a SOC’s performance. When everything looks like a threat, nothing does. The tradeoff is disabling rules, overly tuning rules, or simply ignoring alerts just to stay afloat. The risk? High-value, low-noise threats slip through the cracks.

Let’s talk about privacy—specifically, the kind you thought you had when you hit “delete.” OpenAI received a court order to retain every single ChatGPT conversation, even the ones you erased. Yep. Even the awkward ones. Even the ones that start with, “Hypothetically, if I were to…” Why? Because The New York Times is suing them over copyright, and now everyone’s deleted chats are potential evidence.

Sensitive data is zooming across dozens of platforms every day, from Slack to email to gen AI platforms and many more sources. We all need this connectivity to stay productive, but the connectivity also creates countless opportunities for data to slip through the cracks. A single misplaced email attachment can end up exposing confidential information in a matter of seconds.

Most security tools generate alerts and leave the rest to you. Organizations are already drowning in noise, short on time, and stretched thin on security staff. WatchGuard Total MDR replaces noise with action by delivering the response your team doesn’t have time for. This fully managed, 24/7 MDR service continuously monitors detections across your environment across endpoint, network, identity, and cloud to take real action when threats strike.

AI is often compared to electricity, but without trust, it’s just a live wire. As organizations adopt AI to move faster, reduce manual effort, and push the boundaries of what’s possible, one truth is becoming clear: trust in AI isn’t optional. It’s foundational. And for software development teams, AI Trust is now the north star that guides safe, scalable innovation.