android app permission manager | Breaking Cybersecurity News | The Hacker News

A few hours ago the company announced its "non-shocking" plans to shut down Google+ social media network following a "shocking" data breach incident. Now to prevent abuse and potential leakage of sensitive data to third-party app developers, Google has made several significant changes giving users more control over what type of data they choose to share with each app. The changes are part of Google's Project Strobe —a "root-and-branch" review of third-party developers access to Google account and Android device data and of its idea around apps' data access. Restricted Call Log and SMS Permissions for Apps Google announced some new changes to the way permissions are approved for Android apps to prevent abuse and potential leakage of sensitive call and text log data by third-party developers. While the apps are only supposed to request permission those are required for functioning properly, any Android app can ask permission to access y...

Do you actually read the list of permissions that Android apps are asking for before you install them? I know most of us treat those permissions like terms and conditions, blindly tapping our way through. But if you actually do, you would be aware of their reach. Some of your apps can make phone calls Some can track your location Some can read your browsing history, contacts, SMS, photos, calendar And… Even share this personal information with third parties without your knowledge. But, do they need all those permissions? No doubt, Google's Android mobile operating system has a powerful app permission system that forces app developers to mention the exact permissions they require. But, there is one major issue for Android users: By default, it is a Take-it-or-Leave-it situation, which means you can choose to install the app, granting all those permissions or simply, not install it. It appears like every app developer wants access to much of my phon...

In recent years, artificial intelligence (AI) has begun revolutionizing Identity Access Management (IAM), reshaping how cybersecurity is approached in this crucial field. Leveraging AI in IAM is about tapping into its analytical capabilities to monitor access patterns and identify anomalies that could signal a potential security breach. The focus has expanded beyond merely managing human identities — now, autonomous systems, APIs, and connected devices also fall within the realm of AI-driven IAM, creating a dynamic security ecosystem that adapts and evolves in response to sophisticated cyber threats. The Role of AI and Machine Learning in IAM AI and machine learning (ML) are creating a more robust, proactive IAM system that continuously learns from the environment to enhance security. Let's explore how AI impacts key IAM components: Intelligent Monitoring and Anomaly Detection AI enables continuous monitoring of both human and non-human identities , including APIs, service acc...