Our customers often ask about ways to stop bad users early. To help you detect more bad actors and secure in-app events, Castle leverages Email Intelligence to analyze who is trying to use your services.

Today we are announcing a new Dashboard feature we developed by listening to you, our customers: the Overview page. We designed this page to summarize your app’s security at a glance and provide comparative insights over time.

Creating your own Signals and Metrics is a great step into enhancing your app security with requirements specific to your business.

As part of our recent improvements to the Organization page, we've put a lot of work into refining the Billing page to help you understand your current usage and better anticipate the next bill.

At Castle, we prioritize consistency and ease of use in our software. That's why we're excited to present our newly improved Settings pages. These often underappreciated places in many apps have now received the attention they deserve. We've streamlined the navigation and harmonized the design with our Dashboard, making your experience more intuitive and cohesive.

At Castle, we understand that integrating a new service into your systems is a significant commitment. It's crucial for developers and businesses to have the freedom to fully assess a new service on their own schedule. That's why we're thrilled to announce the launch of our new Free Plan, a testament to our commitment to straightforward and accessible business practices.

We are excited to announce an enhancement to your workflow in Castle's Dashboard: ability to quickly reorder columns!

Today, we are excited to announce enhancement to our browsing capabilities: the filtering of the adblocker usage. Understanding adblocker usage assists in making informed decisions, not only regarding advertising but also in detecting unexpected behavioral changes.

We've released the new option for filtering the events. Now there is an ability to filter based on the usage of incognito mode. Besides facilitating behavioral analysis, knowing that someone is using incognito mode can be useful in identifying potential engagement in fraudulent activities.

It's been a while since we introduced the first version of Metrics, a powerful way of utilizing time series aggregations (or velocities) as part of your fraud and abuse prevention strategies. Today we're happy to release a fully customizable version of Metrics, which enables you to create time series queries that run in real-time, based on any fields available on events, including custom properties.