Use Case
Mobile Threat Defense (MTD) tools are expensive, privacy-invasive, and increasingly ineffective. Organizations are switching to agentless, app-centric vetting to get deeper insight, lower costs, and scale easier—without compromising security posture.
Device-level threats
Compromised operating systems (e.g., jailbroken or rooted devices) and device misconfigurations.
Network-level threats
Man-in-the-middle attacks, malicious Wi-Fi connections, and phishing attempts.
Application-level threats
The presence of malware, grayware, and other malicious apps.
Each Mobile Threat Defense license costs about the same as a MDM license, requiring a significant investment. Yet organizations find that MTD alerts overlap with other tools, such as MDMs. As a result, MTD rarely generates the anticipated ROI.
Employees resist installing agents on devices. Low enrollment rates leave coverage gaps that undermine the entire MTD value. Additionally, MTD solutions can be complex to administer, adding to deployment friction.
Alerts admins to network and device threats, such as out-of-date operating systems, that MDMs also detect.
Mobile Threat Defense tools detect known malware signatures and provide only surface-level insights into app risk. This has been observed in several audits of MTD-enabled fleets, including one example where 76% of the apps deployed had unacceptable security risks.
Mobile Threat Defense acts after a threat is on the device, which may be too late. A clever piece of malware could exfiltrate data before the MTD solution even detects it.
MTD is deployed as an app, which lives inside a container on mobile devices. On mobile operating systems, this limits the tool’s visibility drastically, preventing it from monitoring device level logs and other key data feeds. Instead, MTD uses signals like battery drain or device temperature as indications of risky activity, but this is often inaccurate. For example, a device could heat up quickly because of malware, or because the employee is spending an extended period outside in hot weather.
Q-scout delivers comprehensive analysis by scanning every app on a MDM-managed device, including those from third-party stores. Its behavior-driven detection provides granular insights into malicious activity, privacy risks, and compliance concerns.
Traditional app scans are often one-time or periodic checks. Q-scout monitors every app continuously for new vulnerabilities, updates, or behavior changes post-deployment.
Q-scout integrates with MDM workflows to automatically flag, block, or quarantine high-risk apps based on predefined policies. IT teams gain the ability to enforce compliance and security at scale, without manually inspecting every app in use.
No on-device agent. No user friction. No battery impact. Q-scout integrates directly with MDMs to inventory and analyzes every app, enabling near-instant deployment and easy scalability for larger fleets.
Without device level data feeds, IT teams need a new approach to see inside each app’s container and identify risks. Q-scout powers this evolution in mobile endpoint security and provides deep insights into what applications do by analyzing each app’s compiled code. This enables IT teams to see what every app on a device will do, even before it activates the behavior.
Q-scout only requires the list of mobile applications from the MDM, it does not sit on the employee device and does not monitor live data feeds containing company and personal data. By shifting the analysis of application behavior to the cloud, impact on corporate and personal data is lessened extensively and there is no on-device processing that can eat up battery and hinder performance.
Capability
MTD + MDM integration
Q-scout + MDM integration
App Behavioral Analysis
Signature-based & surface-level scans; low-quality data generates low-quality threat signals
Deep SAST, DAST, IAST, and forced-path execution on binaries; high-quality data generates high-quality threat signals
Supply Chain Visibility
Limited; focuses on device-level indicators
SBOM generation down to embedded third-party libraries
Device threats
Jailbreak/root, OS vulnerabilities, misconfigurations
Covered by MDM policies
Network threats
MITM, malicious Wi-Fi, Phishing
Covered by DNS, Email Security, Secure Web Gateway systems
Deployment model
On-device agent + MDM integration
Agentless analysis through MDM integration— no user friction, no battery impact
Timing
Real-time detection (reactive)
Pre-deployment vetting & continuous monitoring post deployment (proactive + ongoing)
Cost
About the same per device as MDM
Half the price of MDM
Quokka’s agentless model costs significantly less at scale and requires near-zero ongoing maintenance.
Multi-layered binary analysis uncovers behaviors MTD tools miss: unauthorized data collection, insecure cryptography, runtime obfuscation, and third-party SDK vulnerabilities.
Vet apps before they reach devices and continuously monitor the allowed apps. Stop incidents before they happen instead of responding to alerts after compromised apps are already running on employee endpoints.
Consolidate overlapping tools. Quokka integrates with existing Enterprise Mobility Management (EMM), MDM, and Security Information and Event Management (SIEM) platforms so your team gains capability without adding operational complexity.
Mobile App Vetting (MAV) is a proactive, app-centric security approach that analyzes apps before and after they reach devices — without installing an agent on the device. Unlike Mobile Threat Defense, which primarily reacts to threats already present on devices, mobile app vetting identifies risky behaviors, malicious SDKs, insecure code, excessive permissions, and supply chain threats before apps are deployed.
Organizations are replacing Mobile Threat Defense solutions because they have not seen Return on Investment (ROI) from their purchase. Organizations find that they have not actually used any MTD-generated alerts and that alerts generated overlap with capabilities from other tools like MDM. Traditional MTD platforms are expensive, difficult to deploy, privacy-invasive, and reactive rather than preventive. Many enterprises are shifting to agentless mobile app vetting solutions that provide deeper visibility into app behaviors, supply chain risks, and privacy concerns without requiring software agents on employee devices. Additionally, most mobile app vetting solutions are about half the cost of MTDs.
Q-scout is Quokka’s mobile app vetting offering that continuously analyzes mobile applications for security, privacy, and compliance risks. Q-scout integrates directly with MDM and EMM platforms to ingest app inventory and assess app risks without requiring an on-device agent.
Most mobile threat solutions overwhelm teams with raw data and generic risk flags. They often lack practical customization options based on your organization’s specific risk profile. Flagging every app as risky or malicious isn’t realistic for enterprise environments. Q-scout solves this by giving you a clear, configurable framework to align app risk assessments to your policies. You control what triggers alerts—whether it’s data flowing to unsanctioned regions, risky SDKs, or specific app behaviors. The result: fewer false positives, less noise, and actionable, relevant alerts your security team can actually use.
Organizations replacing Mobile Threat Defense with Q-scout benefit from:
For most enterprises, MTD can be replaced by Mobile App Vetting. Mobile app vetting covers application-level threats at a lower cost, with faster deployment, and without requiring an on-device agent. Organizations can maintain network and device restrictions through their MDM, making MTD unnecessary in most environments. In scenarios where customers are required to have an on-device agent and are leveraging the Microsoft Security tools, they may leverage Defender for Endpoint as the MTD agent and Quokka for app vetting and still recognize the cost and security benefits.
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