Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Building and securing mobile applications has never been more complex. Development teams are pushing to ship faster, while security teams are racing to identify and mitigate vulnerabilities just as quickly. Both generate massive volumes of data — from build logs and code commits to vulnerability scans and audit trails — yet these insights often remain trapped in silos.

Phishing is not new. But SpamGPT has changed the game by showing how AI can industrialize deception at scale. SpamGPT has quickly become the poster child for how attackers are using AI to industrialize old tricks. At its core, SpamGPT isn’t introducing a new kind of attack; it’s simply making phishing faster, cheaper, and more convincing. Phishing has always been about deception. But with AI generating endless, polished, and context-aware lures, the balance of power shifts.

Mobile apps often handle sensitive data daily, such as credentials, tokens, health records, financial information, and personal identifiers that attackers seek to exploit. On iOS, developers sometimes assume local data storage is inherently secure because of sandboxing and built-in Apple protections. This assumption is flawed. Poorly implemented storage practices can expose critical data, leading to severe privacy and security incidents. This article examines.

Every Android app relies on local storage to function. Whether it’s user credentials, API tokens, cached data, or session details, applications often write sensitive information to the device. And every one of those storage points is a potential entryway for attackers if not properly secured. The problem isn’t storage itself but how data is stored. Weak implementation choices expose critical information to attackers, malware, or even forensic tools.

Mobile app security can’t afford surface-level assessments. To truly verify how apps handle compromise, security teams must venture deeper, and in the iOS world, that means jailbreaking. Jailbreaking an iOS device grants pentesters the access required to uncover weaknesses otherwise invisible under Apple's sandboxing model. By removing Apple’s built-in restrictions, testers gain deeper access to system files, APIs, and hidden behaviors that standard tools can’t expose.

If mobile apps were high school stereotypes, social media would be the popular kid everyone gossips about, but secretly rolls their eyes at. Everyone uses them, everyone knows the risks, and yet everyone keeps showing up at their parties. In our consumer survey earlier this year, 56% of U.S. respondents said they trust social media apps the least with their personal data. Not banks, not e-commerce sites - social media.

iOS Security Suite is an open-source library designed for iOS app developers to implement various security measures within their applications. One of the primary purposes of this library is to help developers detect if an iOS device is jailbroken, which can pose security risks to the application and its users.

In our increasingly interconnected world, mobile applications have become indispensable tools for accessing a vast array of services and sensitive data. This post provides an in-depth exploration of mobile application authentication, grounded in the OWASP Mobile Application Security Verification Standard (MASVS), with a particular focus on MASVS-AUTH.

Application Security Posture Management (ASPM) is a unified intelligence layer that transforms scattered security data into actionable business insights. Why should you care about this new security approach when you already have a working structure in place? To understand this, let’s first look at the security approach that enterprises usually follow and why it is dated.

In the first blog of the KMM series, we introduced Kotlin Multiplatform Mobile (KMM) and its cross-platform advantages. In this part, we go deeper into mobile security in KMM apps, focusing on: But, before that, let’s quickly recap what KMM is. Kotlin Multiplatform Mobile (KMM) enables developers to write shared code for both Android and iOS, while still maintaining platform-specific implementations where necessary. For the sake of simplicity, we have divided this blog into two sections.