Google IO Recap: Firebase, Jetpack, Kotlin, and R8

May 15, 2019 1410 Views Matt Insko

PreEmptive had the opportunity to send a couple of representatives to Google IO this year. IO 2019 didn't tell us what dessert starts with a Q, but it did showcase some great tools and frameworks as well as provide insight into the direction of Android:

Firebase and Jetpack speed up development and allow better compatibility with older platforms. Google reinforced its commitment to Kotlin stating that most of their samples and frameworks will be available first in Kotlin and later to standard Java. R8 is now the default for minification. Android will do more on-device processing to ensure better privacy.

At PreEmptive, we have similar goals:

Staying up-to-date with the latest features of Android development while maintaining compatibility with older platforms.
Support for Kotlin since DashO v8.3 (2017).
Support for R8.
On-device Checks which help protect application data.

The highlight of the trip was the ability for face-to-face meetings with Google employees. We were able to discuss what we have done to incorporate R8 with DashO's Gradle Plugin for Android (available with the DashO 10 Beta) and found we were on the same page regarding the direction of R8. We actually had a chance encounter with a developer who needed a specific piece of advice which we had already listed on The Unofficial R8 Documentation.

Overall, it was a great experience. There was a lot of information to cover in such a limited time. As in prior years, sessions were recorded and are available on YouTube. We recommend the following sessions as they provide a general overview of Android developments:

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Today we're announcing the first new major-version release of Dotfuscator in thirteen years: Dotfuscator Professional 6.0 Beta. It's an exciting new release with major new capabilities, but before we get into that, let's take a look at why it's been so long since we had a major release and why we're choosing to do one now.

For development teams, adding Dotfuscator to a build pipeline can often seem like a challenge; the value it adds is mostly gained by the surrounding business, and the cost of adding it is mostly borne by the development team. We understand that constraint, which is why we focus on making Dotfuscator as easy to integrate and maintain as possible. If you're a long-time user of Dotfuscator, you've probably experienced that - release after release of painless upgrades. That's our "first do no harm" philosophy in action.

The dynamic type in C# provides flexibility that is not available in other statically-typed languages. Since its introduction in C# 4.0 (.NET 4.5), we have worked with customers who wanted to know more about how dynamic types are impacted by the obfuscation process.

Malicious actors — like any thieves — live by a simple rule: If the front door is locked, break the window.

It’s why threats like fileless malware and crypto-jacking have seen substantial gains over last few years. It’s why — despite increasing employee education and IT training — hackers are still hooking phish by developing more sophisticated and authentic-looking email spoofs. Cybercriminal communities, meanwhile, continue to grow on the dark web, allowing attackers to share info, purchase exploit kits and identify potential targets.

What does this mean for CISOs? That typical defense efforts are being outpaced as familiar attack vectors are replaced with non-traditional threats. But it’s not all bad news; here are three questions every CISO needs to ask to help close the doors, bolt the windows and leave hackers out in the cold.

Gabriel, you have been in the security industry for over 2 decades. You have seen many different tools and services. Why create a company around something as specific as obfuscation and in-app protection?

Our customers build a lot of really innovative apps that enable their users and customers to do new and cool things. These apps frequently run on untrusted client computers/devices and they control access to customer’s sensitive data or critical devices.

And after all the effort of designing, building, debugging, and deploying their applications, the last thing they want is for an attacker to steal their work or use it to look for vulnerabilities to break into their system.

Long ago, we built a Java code optimizer, but it became clear to us that our customer cared more about the obfuscation effects of the optimization than the actual performance improvement. That is when we really began to focus on app protection. First with Java, then .NET, Android, iOS, Xamarin, JavaScript, etc.

Gartner calls In-App Protection “crucial” in their July 2019 Market Guide for In-App Protection In-App Protection. The guide’s summary advises security and risk management leaders to “take due care in protecting their application clients” in order to avoid “security failure.”

This raises the question – what constitutes “due care?” Obviously, no development organization looks to recklessly expose their applications or sensitive data to attack or compromise. On the other hand, over-engineered (or poorly engineered) security controls can quickly lead to excessive development costs, performance and quality issues, and, ultimately, unacceptable user experiences. While terms and terminology may vary, there is broad consensus on how to best define “due care” for any given application/user scenario.

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Gabriel, you have been in the security industry for over 2 decades. You have seen many different tools and services. Why create a company around something as specific as obfuscation and in-app protection?

The Secret to Effective In-App Protection

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