Research & Threat Intel
NowSecure found no detectable PQC code in 97% of 136,711 mobile apps. Learn how to inventory mobile cryptography and build a PQC migration plan.
NowSecure’s 2026 Mobile App Risk Management Survey found that 68% of organizations report having more than half their mobile codebase built from third-party SDKs. For most teams, the majority of what ships in their app is code they didn’t write, and mobile app security testing hasn’t caught up to that shift. Assessment practices haven’t kept […]
Before NowSecure fielded its 2026 Mobile App Risk Management (MARM) Survey, we ran an experiment most survey research skips. We asked three leading AI models, Claude Sonnet, ChatGPT and Gemini, to predict how senior mobile application security leaders would answer the survey. Then we compared those predictions with the survey responses. We weren’t asking AI […]
During its recent hackathon, NowSecure’s research and engineering teams built working prototypes of AI-powered tools spanning the mobile app security lifecycle: agentic reverse engineering and finding validation, real-device exploit confirmation, AI-generated mobile device management (MDM) policy guidance and dramatically expanded vulnerability database coverage. Each prototype built on NowSecure’s research, specialized mobile application security testing tooling […]
What the Transsion Telemetry Research Means for Mobile Security Transsion is the world’s fourth-largest smartphone manufacturer. Its brands — TECNO, Infinix, and itel — dominate markets across Africa, South Asia, Southeast Asia, and Latin America. Every one of these devices ships with a first-party Android telemetry framework: Athena for event collection and oneID for cross-app […]
Most vulnerability management programs are built on a simple assumption: vulnerabilities are discovered, assigned a CVE, analyzed, prioritized and remediated. A new federal audit suggests that model is under increasing strain. The National Vulnerability Database (NVD) backlog isn’t just a government process issue; it’s evidence that vulnerability volume, software supply-chain complexity and shrinking exploitation timelines […]
Key Finding: 1 in 4 AI-generated code samples contain at least one confirmed OWASP vulnerability — and mobile apps face elevated risk due to their distributed, client-side execution model, direct exposure to untrusted devices and attack surfaces traditional AppSec tools are not designed to evaluate. Developers are increasingly turning to AI coding assistants to speed […]
When regulators issue billion-dollar fines, enterprises can no longer ignore the mobile app privacy blind spot. Organizations face significant compliance exposure because mobile apps that power the business often rely on hidden third-party SDKs and data flows that security teams aren’t monitoring. Most organizations have invested heavily in securing web applications and cloud infrastructure. Mobile […]
Part 2 of the series following “AI Vibe Coding for Mobile Apps: Easy or Secure?” From “Easy” to “Secure”: What Happens After the First Build In Part 1, we explored how quickly AI can generate a functional mobile app. With great ideas and the right prompts, you can go from vision to working application in […]
Today Vercel confirmed a security incident but the real risk may not be where most teams are looking. Attackers reportedly pivoted through a compromised OAuth grant at Context AI, took over a Vercel employee’s Google account, and accessed customer API keys, source code and database contents. Vercel has advised customers to rotate anything marked “non-sensitive.” […]