In recent years, critical infrastructure (CI) has become a primary target for cybercriminals and nation-state actors. The systems that provide essential services such as energy, water, transportation, and healthcare are increasingly vulnerable to attacks that could have devastating consequences for entire regions or even nations.

Learn how to automate Helm deployments with GitOps, using Argo CD for continuous delivery. Seamlessly handle secrets, pod auto-restart, and version propagation in Kubernetes with this production-ready integration.

If your business entails collecting and/or processing the personal data of European Union (EU) or United Kingdom (UK) citizens, complying with the General Data Protection Regulation (GDPR) is a priority. ‍ The regulation is quite comprehensive and includes numerous requirements your organization must implement.

We’ve all seen it happen: you create a solid remediation plan, map out the misconfigurations and vulnerabilities, and develop a plan to fix them, but when it comes time to execute, things start to fall apart. Why do remediation plans fail even when they seem solid on paper? The truth is, it’s often not the plan itself, but how it’s executed. Let’s break down the common obstacles that cause remediation efforts to go wrong and what you can do to avoid them.

Earlier this year, we launched a new Domains page to give you more powerful and flexible attack surface insights. When the recent CUPS vulnerability hit the news, our new page quickly allowed users to create a policy to detect potential threats on port 631—something that wasn’t possible before. Since then, we’ve rolled out dozens of improvements to help security teams like yours feel more confident in managing their ever-changing attack surface.

Whether you’re the CISO or part of the incident response team, it’s likely you have heard of exposure management (EM). Introduced by Gartner in 2022 as the evolution of vulnerability management (VM), the name “exposure management” was adopted by vendors faster than you can say “next gen” or “AI-powered”. Unfortunately for consumers the hype added more confusion than clarity. This blog is a chance to reset expectations.