reCAPTCHA Enterprise is Google’s online fraud detection service that leverages more than a decade of experience defending the internet. reCAPTCHA Enterprise can be used to prevent fraud and attacks perpetrated by scripts, bot software, and humans. When installed inside a mobile app at the point of action, such as login, purchase, or account creation, reCAPTCHA Enterprise can block fake users and bots while allowing legitimate users to proceed.

To provide more complete coverage for native mobile iOS and Android applications, we’re announcing the general availability of the reCAPTCHA Enterprise Mobile SDK. Designed with digital-first and mobile-first organizations in mind, the new Mobile SDK fully integrates reCAPTCHA Enterprise’s frictionless experience on end-users’ mobile devices.

Why should I use the Mobile SDK?

Unlike most web applications, iOS and Android apps run on physical devices that can provide a wealth of device telemetry to help identify fraud and bot activity. By combining both device and network signals, the new mobile SDK can better protect native mobile applications from bot attacks while unlocking the full potential of reCAPTCHA Enterprise. It provides:

• Frictionless customer experience — no picking fire hydrants from a grid
• Easy integration to your native mobile app with support for popular frameworks like Cocoa Pods and Swift Package Manager
• A regularly-updated device threat model to help stay ahead of attack evolution

Protecting against fraud across all your channels

Customers will be able to leverage the new mobile SDK to implement native iOS and Android protection against the OWASP Top 10 automated attacks common on the internet, which include fraudulent account creation, financial hijacking, and credential stuffing. This is particularly important for mobile workforces and end users who use a mobile app to access products and services. Since mobile traffic surpasses web traffic in many industries, it’s even more important to implement a comprehensive mobile app protection strategy to protect against the most prevalent attacks.

Integrating the new Mobile SDK

If you’re interested in learning more about how to integrate the new Mobile SDK, check out the documentation for iOS and Android. Mobile and Web integrations leverage the same easy to understand pricing for Assessments, found here.

App Engine is a fully managed serverless compute option in Google Cloud that you can use to build and deploy low-latency, highly scalable applications. App Engine makes it easy to host and run your applications. It scales them from zero to planet scale without you having to manage infrastructure. App Engine is recommended for a wide variety of applications including web traffic that requires low-latency responses, web frameworks that support routes, HTTP methods, and APIs.

Environments

App Engine offers two environments; here’s how to choose one for your application:

• App Engine Standard – Supports specific runtime environments where applications run in a sandbox. It is ideal for apps with sudden and extreme traffic spikes because it can scale from zero to many requests as needed. Applications deploy in a matter of seconds. If your required runtime is supported and it’s an HTTP application, then App Engine Standard is the way to go.
• App Engine Flex – Is open and flexible and supports custom runtimes because the application instances run within Docker containers on Compute Engine. It is ideal for apps with consistent traffic and regular fluctuations because the instances scale from one to many. Along with HTTP applications it also supports applications requiring WebSockets. The max request timeout is 60 minutes. 

How does it work

No matter which App Engine environment you choose, the app creation and deployment process is the same. First write your code, next specify the app.yaml file with runtime configuration, and finally deploy the app on App Engine using a single command: gcloud app deploy.

Notable features

• Developer friendly – A fully managed environment lets you focus on code while App Engine manages infrastructure. 
• Fast responses – App Engine integrates seamlessly with Memorystore for Redis enabling distributed in-memory data cache for your apps.
• Powerful application diagnostics – Cloud Monitoring and Cloud Logging help monitor the health and performance of your app and Cloud Debugger and Error Reporting help diagnose and fix bugs quickly. 
• Application versioning – Easily host different versions of your app, and easily create development, test, staging, and production environments.
• Traffic splitting – Route incoming requests to different app versions for A/B tests incremental feature rollouts, and similar use cases.
• Application security – Helps safeguard your application by defining access rules with App Engine firewall and leverage managed SSL/TLS certificates by default on your custom domain at no additional cost.

Conclusion

Whether you need to build a modern web application or a scalable mobile backend App Engine has you covered. For a more in-depth look, check out the documentation. Click here for demos on how to use serverless technology and free hands-on training.https://www.youtube.com/embed/Xuf3J6SKVV0?enablejsapi=1&

For more #GCPSketchnote, follow the GitHub repo. For similar cloud content follow me on Twitter @pvergadia and keep an eye out on thecloudgirl.dev.

Vodafone India had a manual, labor-intensive process for determining network capabilities and reach. The company sent field operatives to every customer location to conduct a feasibility study. These feasibility studies help Vodafone determine whether they can provide connectivity and services to customers based on the infrastructure at that location.

Everyone from the IT team and end users to the field operatives doing the work recognized the need to adopt a new solution to automate the measurements. They needed a technology that was easy to use and maintain.

“Vodafone used to manually perform physical surveys for each feasibility, which is a time-consuming and labor-intensive process. Often, feasibility studies were delayed, and we missed out on opportunities to serve additional customers. With SmartFeasibility, we’ve increased our capacity 15 fold, which positively impacts our bottom line and allows us to provide better and smarter customer service.”

—Rajneesh Asthana, IT Planning and Delivery, Vodafone India

Partnering with Lepton Software (a leading global provider of location-based analytics solution) Vodafone introduced SmartFeasibility—a solution that changed the feasibility testing from a manual to an automated process. This involved a full Google geo platform solution – leveraging world class technology like maps, roads and directions.

Google Maps Platform Results

• Employees are able to access information faster with SmartFeasibility—they have data at their fingertips, rather than waiting for an employee to collect it
• Field operatives have increased their conversion rates by providing more accurate readings on feasibilities and closing more customer business
• Addresses are now easy to find with a click of a button. The Vodafone India team can search feasibilities that have been loaded into the database, so if there’s an issue or if they need to reference a past action, they have that information at their fingertips
• 2 day turnaround versus 5 before the solution was implemented
• 400+ new customers added per day

With the new solution, Vodafone India no longer needs field operatives to manually calculate these measurements. With Google Maps, users can search customers’ addresses, calculate the distance between Vodafone’s location and the customer’s location and research building data such as height.

The old system of having field operatives collect data was unreliable. With Google Maps Platform, the Vodafone India team knows that the measurements are accurate and reliable.

Enterprises need to move faster than ever to gain a competitive advantage in today’s customer-focused environment. Time-to-market for products and services has shortened dramatically, from years to days. IT teams must move fast, react fast, and enable business strategies via constant innovation. 

All of this digital transformation is about more than adopting the latest technologies. It is also about maximizing the use of existing data and services to improve efficiency and productivity, drive engagement and growth, and ultimately make the lives of customers, partners, and staff better. Connecting existing data and services and making them easily accessible via APIs promises a path forward, empowering enterprises to extend the value they already possess with new technologies, managed services,  ecosystems, and support.

In addition to the challenges of legacy data and systems, today’s organizations are overwhelmed by the variety of cloud applications to meet their business needs and deliver innovative services to their customers. 

Managing all of this data, connecting sources, integrating applications, and surfacing them as easy-to-use APIs for development is a crucial competency for any IT organization.

Design APIs with an Outside-in Approach

Many IT organizations have focused on solving this challenge with an “inside-out” approach: starting with the integration layer, building the flow, and then developing the APIs. But this approach is inefficient and fundamentally flawed because it looks at the problem from an “exposure” model; rather than designing for the business use cases of developers and other API consumers. Leaders in the organization end up seeing all of this data, connectivity, and integration as the “table stakes plumbing”, and thus do not seek inputs regarding business value from key business stakeholders.

The key issue is not exposure but rather how you leverage your data, services, and systems to drive impact across your digital value chain. Goals such as meeting your adoption or sales targets, reducing costs across lines of business, speeding up time to market, and reducing time spent supporting your customers may all be within reach. Easy-to-use APIs, rather than crudely exposed systems, are foundational enablers of this impact, and they are almost always designed from the outside-in, from the perspective of teams that are consuming the APIs to achieve a business goal.

Embrace API-first Integration

To accelerate the speed of development, enterprise IT teams need to take an API-first approach to integration, starting with the consumers’ use cases rather than the structure of the data in their systems. 

The notion of outside-in thinking should be familiar to product managers, who routinely have to demonstrate customer empathy and put themselves in their customers’ shoes. If your team has a product owner, be sure they are empowered to decide what functionality is needed from their data. 

Maximize your APIs with the right technology enablers

An API-first strategy treats the API not as middleware but as a software product that empowers developers, enables partnerships, and accelerates innovation—a big shift from integration-first operations in which APIs are typically exposed and then forgotten. 

Possessing APIs is only part of the equation. If a company is going to share valuable digital assets with outsiders, it needs API management tools to:

• apply security protections, such as authentication and authorization
• protect assets from malicious attacks
• monitor digital services to ensure availability and high performance
• measure and track usage of the assets 

With the right tools in place, APIs can unlock incredible business opportunities—which is a reason for every enterprise to aspire to be API-first!

Visit our website to learn more about API management with Google Cloud.