AI is entering production faster than many security teams can keep up. As teams embed AI into applications, developer workflows, and cloud operations, security teams need to know where AI runs, what it can access, and which risks need action. Upwind AI Security connects AI usage to realtime cloud context, giving teams a practical way […]

Security teams already have enough findings to sort through. Vulnerabilities, misconfigurations, and alerts pile up every day, but only a limited number create real risk in production. The harder problem is knowing which issues are exposed, active, and worth fixing first. The Upwind MCP Server connects MCP-compatible clients to selected Upwind context and capabilities, helping […]

Cloud security teams are under pressure to move faster, but the volume of cloud risk keeps growing. Verizon’s 2025 DBIR found that vulnerability exploitation as an initial access vector increased 34% year over year, while IBM reported the global average cost of a data breach at $4.4 million. The issue is not that teams lack […]

Security teams need a reliable way to understand what exists in their cloud environment, how assets connect, and where to investigate when risk appears. That gets harder when container clusters and Kubernetes workloads show up differently across cloud providers, services, and data sources. Upwind normalizes container clusters and Kubernetes workloads in the Inventory graph, giving […]

Security teams need confidence that the cloud environments they rely on are covered. In fast-moving organizations, that confidence can be difficult to maintain as new accounts are added, workloads shift, and infrastructure changes across teams, regions, and providers. The Upwind Coverage Dashboard helps teams validate cloud security coverage across connected accounts, sensors, and environments, so […]

Cloud security teams are expected to move fast. They need to investigate issues quickly, answer leadership questions clearly, and stay ahead of risk across environments that keep growing more complex. But in many organizations, too much time is still spent on work that does not reduce risk. Before a team can investigate an issue, they […]

There’s increased friction happening inside security teams right now. It’s not a new vulnerability or an active breach. It’s the weight of context-switching, the hours spent translating raw logs, JSON payloads, detection logic, and technical alert data into something a human can actually act on. Leaders already know this problem. The answer isn’t more dashboards […]

Cloud environments don’t care about your org chart, and neither do attackers. Whether your workloads run on AWS, Azure, or GCP, your security team needs to investigate threats, query inventory, and understand risk without mentally translating between three different provider schemas. That translation work is slow, error-prone, and reduces time to remediation. Today, we’re excited […]

If you’re running workloads in Azure, chances are your security team has a solid handle on what’s configured. Resource settings, network rules, identity policies it’s all there in your posture management dashboard. But here’s the question that keeps security leaders up at night: do you know what’s actually happening? Configuration snapshots are great at telling […]

Last year, we launched full security support for Google Cloud Run bringing posture management, real-time threat detection, vulnerability management, inventory discovery, and topology mapping to serverless container workloads. Teams using Cloud Run got the same Upwind coverage they already relied on for VMs and containers. Now we’re making that experience even simpler. With direct tracer […]