
Mobile Security
Zimperium Mobile-First Security Platform
MTD and MAPS with on-device z9 detection plus agentic Mobile SOC and App Response agents.
Zimperium Mobile-First Security Platform Overview
What it does
Zimperium Mobile-First Security Platform spans Mobile Threat Defense (MTD) for iOS, Android, and ChromeOS endpoints and the Mobile Application Protection Suite (MAPS) for securing mobile apps across build, release, and runtime. The MTD component uses Zimperium's z9 on-device machine learning engine to detect device compromise, network attacks, phishing, and malicious applications locally without requiring continuous cloud lookups.
How it works
The MTD console supports zero-touch deployment, forensic analysis, advanced app vetting against enterprise policy, and integration with MDM, UEM, SIEM, SOAR, and XDR platforms. MAPS adds pre-publication security scanning, application shielding, cryptographic key protection via whitebox cryptography, and runtime application self-protection. Optional Mobile SOC Agent and Mobile App Response Agent modules use agentic AI to prioritize mobile incidents, correlate telemetry, generate attack narratives, and provide remediation guidance for SOC and fraud teams.
Credentials and traction
Zimperium holds FedRAMP authorization and was the first mobile threat defense provider to receive a FedRAMP Authority to Operate. It was named a Leader in The Forrester Wave: Mobile Threat Defense Solutions, Q3 2024, and named the Leader in the 2025 SPARK Matrix for In-App Protection by QKS Group. Federal customers include the Department of Homeland Security, Immigration and Customs Enforcement, and the Department of Defense, alongside enterprises across regulated industries.
Key Capabilities
mapped to solution categoriesAnalyzes installed application binaries for malicious behavior, excessive permission requests, data exfiltration patterns, and policy violations beyond what app store review catches.
Detects device integrity compromise (jailbroken iOS and rooted Android), and can enforce conditional access policy or quarantine the device via MDM/UEM integration.
Runs threat detection locally on the device for off-network protection and privacy, with optional cloud-assisted analysis where policy allows.
Intercepts and evaluates URLs in SMS, email clients, messaging apps, and browsers, blocking malicious links regardless of which app the user opens them in.
Identifies connection to malicious or impersonation Wi-Fi networks (including captive portal attacks and SSLstrip-capable access points), and can block connection or alert the user.
Integrates with Jamf, Microsoft Intune, VMware Workspace ONE, and other UEM platforms to trigger automated response actions (wipe, quarantine, access revocation) upon threat detection.
Detects novel mobile threats using behavioral heuristics and ML models without requiring known signatures, relevant for targeted attacks against specific organizations.
Checks each device for outdated OS versions, missing security patches, risky system parameters, and insecure configuration, flagging the vulnerabilities and misconfigurations that raise device risk.
Instruments runtimes to intercept database queries, command execution, and deserialization across Java, .NET, Python, Node.js, PHP, Ruby, and Go, with coverage depth varying by product.
Performs in-process interception and threat analysis with minimal latency impact, keeping the agent viable in production workloads with overhead varying by product.
Detects and blocks injection at the sink where untrusted input reaches dangerous operations, covering SQL and NoSQL injection, command injection, XXE, path traversal, and SSRF.
Detects exploitation of unknown vulnerabilities by analyzing runtime behavior rather than matching known attack signatures, protecting against vulnerabilities before CVE publication.
Operate in monitor-only mode (log and alert), or active blocking mode (terminate request upon detection). Most deployments begin in monitor mode to establish a false positive baseline before enabling blocking.
Blocks exploitation of known vulnerabilities at runtime without source code changes, reducing exposure during the gap before a deployed fix, especially on legacy or hard-to-patch applications.
Verifies the integrity of application code, resources, and the execution environment at runtime, detecting repackaging, method hooking, and dynamic instrumentation such as Frida, and triggering a defensive response when tampering is detected.
Applies name obfuscation, control-flow obfuscation, string and resource encryption, and code virtualization to impede static and dynamic reverse engineering of the protected application.
Detects compromised runtime environments at startup and during execution, including rooted Android devices, jailbroken iOS devices, emulators, and attached debuggers, and reacts per policy when an untrusted environment is found.
Compliance
certificationsIntegrations
compatible toolsImplementation & support
Info last updated on May 28, 2026
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