The API fingerprint provides an easy way to integrate fingerprint authentication in Android apps. It supports all the devices that have a built-in fingerprint sensor. This includes most smartphones, tablets, and some laptops. To use the fingerprint API, you need a secret API key. You can get one by visiting the Settings page in the Fingerprint dashboard.

To make an API call, you need to add a HTTP header with the authentication key. If you don’t do this, the call will fail with an error message. If you want to test the fingerprint API, you can also set up a local environment by adding a fake Auth-API-Key in the app’s manifest file.

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When you authenticate a user’s fingerprint, your application needs to verify that it matches the one that they registered on their device. To do this, you create a CryptoObject from the Cipher, initialize it with the cipher’s symmetric key, and then pass this value to the FingerprintManager.AuthenticationCallback#onAuthenticationSucceeded method.

Once the authentication succeeds, you need to save the password somewhere in your application. You can do this using a password helper class that encrypts the password with the cipher, and then saves it.

The fingerprint scanner is a powerful tool that can dramatically improve the security of your application by removing the need for passwords. However, a major obstacle remains for fingerprint recognition to become widespread: Most people don’t have access to a device with a built-in sensor. If this issue can be resolved, the benefits of biometric authentication will be widely available.

With today’s attacks and the ongoing cybersecurity skills shortage, it is challenging for security teams to efficiently calculate risk and balance resources. They must also effectively prioritize tasks, alleviate the burden on analysts and successfully communicate the nature of risks to top management in order to justify future investments in threat detection, defense and prevention.

A threat intelligence solutions helps security leaders to overcome these challenges by automating and simplifying much of the work that was previously done manually. These solutions use automated tools to analyze and sort massive volumes of data and provide CISOs with the insights they need to accurately assess risk, make decisions and quickly act on them.

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The process of collecting and processing threat intelligence requires deep research through massive amounts of raw data from multiple sources. This is often too difficult to do manually, even for rarified analysts who possess the right language skills, technical background and tradecraft. A threat intelligence solution can help to automate the process of data collection, processing and enrichment, and combine data points from a variety of open, dark web and technical sources.

Once the threat intelligence is processed, it must be presented in a form that can easily be consumed by its intended audience. This may be a security team looking to investigate or defend an attack, executives and other stakeholders who need transparency into third-party environments, real-time alerts on threats and changes to those risks, or other information.