The mobile threat landscape is evolving faster than ever. While MTD remains an important tool for detecting device-level threats, it cannot address the full spectrum of app-level risks. See how mobile app vetting fills the security gaps of MTD.
As per Gartner, “This Hype Cycle tracks the maturity and adoption of processes and technologies that can help organizations advance their application security programs.” This report includes a category named Mobile application security testing (AST) in which Quokka is listed as a sample vendor for the fourth year in a row.
Gartner’s “How to Avoid Common Cybersecurity Pitfalls in Mobile App Development” mentions Quokka as a vendor offering mobile application security testing (AST).
Most federal mobile security strategies stop at device management—leaving a dangerous blind spot for data-harvesting apps already installed on government devices. To stay ahead of today’s mobile threats, agencies must go beyond MDM with continuous app vetting, proactive risk detection, and real visibility into where sensitive data is actually going.
For effective mobile app security, executives must take the lead by prioritizing and investing in security measures, especially as the mobile attack surface expands in both size and complexity. Rather than constantly reacting to threats and managing the consequences of data breaches, organizations can adopt preventative mobile application security strategies to mitigate risks before they manifest.
With third-party breaches on the rise, vendor security isn’t a box to check–it’s a critical part of your overall cybersecurity strategy. SOC 2 is independent validation that Quokka operates with the kind of rigor modern mobile security demands.
Tools like Microsoft Intune and Defender are critical for managing devices and enforcing protections. For comprehensive coverage, you also need to understand what the apps on the devices are actually doing. Q-scout adds that missing visibility—analyzing mobile apps for risky behavior, data exposure, and compliance vulnerabilities before they become a problem.
Securing the mobile ecosystem isn’t about simply labeling apps as ‘good’ or ‘bad’—it’s about making informed, risk-based decisions. The widespread adoption of an app does not guarantee its security in a COBO environment.
AI code generation is great for boosting productivity and even improving cybersecurity by speeding up how we detect and fix vulnerabilities. But there’s a catch. Research shows these models can also churn out insecure code, which becomes a big problem if it’s used without careful review.
Copyright © 2025, Quokka. All rights reserved.
