Most enterprises are not running on a single cloud. The vast majority of organizations now operate in hybrid or multi-cloud environments and sensitive data follows wherever workloads go. Regulated files end up in S3 buckets. PII lands in BigQuery development tables. Source code copies into Azure Data Lake repositories that no policy anticipated. The problem is not that organizations chose to spread data across clouds. The problem is that most security programs were not built to track it.

Phishing campaigns leveraging remote management tools is nothing new. Securonix Threat Research has conducted in-depth dynamic analysis of an ongoing phishing campaign targeting multiple vectors, active since at least April 2025. The campaign has impacted over 80 organizations, predominantly in the United States, spanning multiple sectors. This campaign leverages vendor-signed Remote Monitoring and Management (RMM) software to establish silent, persistent access.

AI governance is not a policy problem. It’s a visibility problem. Most enterprises are approaching it from the outside in: writing acceptable use policies, issuing guidelines, and hoping employees comply. That approach fails because it operates on assumption rather than evidence. You cannot enforce what you cannot see and most organizations have no reliable way to see what AI tools are actually running inside their environment.

Every year, CrowdStrike Professional Services performs hundreds of Technical Risk Assessments (TRAs) across myriad industries, geographies, and business environments. These deep, hands-on reviews look at how security controls behave in production to evaluate the threats they see and block — and crucially, the threats they miss.

The latest National Institute of Standards and Technology (NIST) draft guidance on mobile driver’s licenses(mDLs) is about more than one use case or credential type. While the draft primarily focuses on the financial sector due to its high-assurance requirements, the bigger takeaway is that government-issued identity can be cryptographically verified and shared more selectively.

Accelerating security solutions for small businesses‍ Tagore offers strategic services to small businesses. A partnership that can scale‍ Tagore prioritized finding a managed compliance partner with an established product, dedicated support team, and rapid release rate. Standing out from competitors‍ Tagore's partnership with Vanta enhances its strategic focus and deepens client value, creating differentiation in a competitive market.

AI-enabled systems are becoming more common in operational technology (OT) environments. What many industry analysts call “Physical AI” refers to AI systems embedded in physical environments — such as industrial cameras, robots and edge systems — that can perceive, interpret and act on real-world conditions. In industrial settings, this includes machine vision systems, predictive maintenance models, robotics optimization and edge analytics operating close to production assets.

May the 4th be with you. In celebration of Star Wars Day, here's what a galaxy far, far away can teach us about security. The films work surprisingly well as a case study, and not in the obvious way. It's not the lasers, androids or the lightsabers. It's that the Empire and the First Order both fall into the same trap most security programs walk into every day. In this post, we'll walk through what the films get right about modern security challenges, how AI is making them worse, and what to do about it.

CI/CD pipeline security is not a single tool decision. The pipeline spans source code, build systems, container registries, infrastructure configs, and production workloads. Each stage carries different risks and needs different controls. This guide covers the full stack of ci/cd pipeline security tools, the industry standards that govern them, and the CI/CD security best practices that make them work in production.