Tailscale

Just about every home office, small business, or just-getting-on-its-feet startup is going to have at least one Wi-Fi router, and many will use some kind of network-attached storage (NAS) device for shared files. The latter is particularly useful if you’ve got data you don’t want to store with Google, Microsoft, Apple, Dropbox, or some other cloud storage provider that will charge you monthly for the privilege.

Blog |productSeptember 09, 2026 Over the past few months, we’ve chosen to tackle some of the most stubborn issues of the Tailscale Kubernetes Operator to improve performance, connectivity, and scale: Cross-cluster connections being routed through DERP servers IPv6 connectivity Let’s Encrypt rate limiting While IPv4/IPv6 connectivity and Let’s Encrypt rate limits are not completely solved problems, our optimizations and fixes contained in the 1.102 release should significantly reduce how often...

Today we’re releasing tailcat, a remix of pieces of Tailscale that gives you a way to use the open-source Tailscale data plane (WireGuard® + NAT traversal + DERP) without the Tailscale control plane, written by the people who made Tailscale. It’s Tailscale without Tailscale, by Tailscale. Specifically, tailcat is both an open-source Go package and a CLI tool using that package. It lets you run a server-side listener and a client to connect to that server, moving bidirectional bytes back and forth.

Blog |productAugust 31, 2026 Contributor Reza Ramezanpour Networking: it’s the thing you bolt on last. You write an application or spin up an instance, and then you work out how anyone actually reaches it. Opening ports, standing up proxies, grabbing certificates and checking the ACLs—the project is “done,” yet the on-call work is just starting. That separation is something we want to change.

Blog |productAugust 28, 2026 Tailscale customers can now purchase DNS filtering by Control D from the Tailscale sales team. Control D’s DNS filtering solution integrates directly into your tailnet with per-group or per-device controls. Teams that want to block malicious, phishing, or unwanted destinations can set up DNS filtering rules in Control D and apply those rules to any groups, tags, or devices in their tailnet with a simple access control list (ACL) integration.

Teams already use Tailscale to connect people and devices to private infrastructure. But access to production databases, servers, Kubernetes clusters, and internal applications requires more than a secure network path. Security teams also need to control which resources users can access, under what conditions, and what happens during privileged sessions. The Border0 + Tailscale integration introduced identity-aware, credential-free access to critical infrastructure.

We started building Aperture 10 months ago to demonstrate that you don’t need to choose between ease of use, identity-aware networking, and robust safety when using agentic AI with Tailscale. Our solution started as an LLM proxy that eliminated the need to distribute API keys to both engineers and agents connected to your tailnet. Since then, it has grown into a comprehensive AI gateway, with countless visibility and control features for enterprises.

Blog |productAugust 24, 2026 TailscaleUp is nearly here, and we have a lot to share in the next week. Here’s a preview of what we’re building—and one last call to join us in San Francisco. I've spent most of my career in networking and infrastructure, and I joined Tailscale six months ago for a simple reason: this company takes things that are genuinely hard and makes them feel like magic. Customers tell us some version of “Wait, that's it?” every day.

At the end of last year, our uptime was pretty shaky. You can see this trend on our status page, and that instability continued into the new year. Many of these outages were caused by a single bug, deep in SQLite. It took months of intense forensics to track it down. Now we’re in summer, we’re confident that we’ve found the bug, that we understand it—and more importantly, that we’ve fixed it.

Blog |insightsAugust 06, 2026 Safely using AI agents can seem like a daunting, if not impossible, task. The qualities that make them so useful—access to data, the ability to take action, and the flexibility afforded by non-deterministic output—also make them dangerous. But it’s not impossible, with the right tools and a little bit of setup, to run agents and keep some peace of mind.