Zimperium Mobile-First Security Platform
Mobile threat defense and application protection platform with on-device behavioral detection.
Vendor Information
Zimperium Mobile-First Security Platform Overview
Zimperium Mobile-First Security Platform provides unified mobile security through Mobile Threat Defense protecting iOS, Android, and ChromeOS endpoints and Mobile Application Protection Suite securing apps throughout development and runtime lifecycles. Unlike traditional signature-based detection requiring cloud connectivity and updates, Zimperium operates through patented z9 machine learning engine performing on-device behavioral analysis of system parameters to detect device compromises, network attacks, phishing, and malicious apps in real time without network connectivity. The platform addresses that mobile devices lack traditional endpoint security controls while processing critical business data with threat actors adopting mobile-first attack strategies exploiting vulnerabilities through sophisticated phishing campaigns and zero-day exploits that signature-based tools miss.
The Mobile Threat Defense solution operates through z9 engine trained on billions of data points from millions of devices since 2010 analyzing behavioral deviations to identify attacks including those never seen before, providing forensic-level intelligence on attack details. The Mobile Application Protection Suite acquired through whiteCryption integration in July 2021 delivers end-to-end application security with zScan for pre-publication compliance scanning, zShield for application code protection against reverse engineering and tampering, zKeyBox for cryptographic key protection using whitebox cryptography, and Runtime Application Self-Protection enabling apps to autonomously defend themselves. Core capabilities include autonomous security adapting to changing threat environments, privacy-first on-device processing without cloud lookups, zero-touch deployment, and centralized threat management dashboard providing real-time visibility into emerging risks across device and application threat vectors.
Founded in 2010 by Itzhak "Zuk" Avraham and Elia Yehuda, Zimperium raised over $104 million and was acquired by Liberty Strategic Capital for approximately $525 million in March 2022. The company acquired whiteCryption in July 2021 expanding into application shielding and cryptographic key protection. Zimperium serves enterprises and government agencies across automotive, aviation, financial services, media, entertainment, and retail sectors, recognized as Leader in Forrester Wave for Mobile Threat Defense Solutions Q3 2024, Leader in 2025 SPARK Matrix for In-App Protection, and Mobile Security Solution of Year at 2025 Mobile Breakthrough Awards, maintaining SOC 2 certification with support for FedRAMP High and DoD Impact Level 5 compliance.
Key Capabilities
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Analyzes 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.
On-device analysis runs threat detection locally without sending data to cloud, preserving privacy and maintaining protection when off-network. Cloud-assisted detection enables more sophisticated analysis at the cost of data egress.
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.
List of languages and runtime environments the RASP agent can instrument: Java, .NET, Python, Node.js, PHP, Ruby, Go. Breadth of language coverage determines applicability to the application portfolio.
Per-request CPU and latency overhead introduced by the RASP agent. High overhead prevents adoption in latency-sensitive applications, benchmark data is a primary evaluation criterion.
Detects injection and XML external entity attacks at the application layer by inspecting queries and XML parsing operations at runtime, catching attacks that bypass WAF rules.
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.
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