Zimperium Mobile Threat Defense REST API
Zimperium mobile threat defense (MTD) and mobile application security testing (MAST) REST API for enterprises to automate mobile device threat detection, mobile app vulnerability analysis, and mobile security event management — enabling AI agents to retrieve device threat events, manage mobile app security scan results, monitor device security posture, and integrate mobile threat data with SIEM and UEM platforms through Zimperium's on-device machine learning threat detection engine. Enables AI agents to manage threat management for mobile device malware, network, and phishing threat detection retrieval automation, handle app analysis management for mobile app static and dynamic analysis scan result retrieval automation, access device management for enrolled device security posture and threat status automation, retrieve policy management for mobile security policy and threat response configuration automation, manage alert management for critical threat alert and incident notification retrieval automation, handle compliance management for device security compliance status and MDM policy violation automation, access integration management for UEM (Intune, Workspace ONE) and SIEM event forwarding automation, retrieve dashboard management for mobile security KPI and threat trend analytics automation, manage app protection management for mobile app shielding and in-app protection configuration automation, and integrate Zimperium with Microsoft Intune, VMware Workspace ONE, Splunk, and enterprise security platforms for mobile threat defense automation.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Mobile security/MTD. SOC2, GDPR, FedRAMP. API key/OAuth2. US/EU. Mobile threat, device posture, and app security data.
⚡ Reliability
Best When
An enterprise security team wanting AI agents to automate mobile device threat detection, mobile app vulnerability scanning, and security event integration through Zimperium's on-device ML-based mobile threat defense platform.
Avoid When
ZIMPERIUM ENTERPRISE LICENSE REQUIRED: Zimperium serves enterprises; automated open-developer assumption creates license_required for organizations without Zimperium enterprise agreement; automated must have Zimperium MTD or MAST subscription. ON-DEVICE DETECTION REQUIRES APP INSTALLATION: Zimperium MTD runs on-device detection engine in Zimperium app; automated network-based assumption creates no_detection for devices without Zimperium app installed through UEM; automated must deploy Zimperium app to all managed mobile devices. UEM INTEGRATION PREFERRED FOR ENROLLMENT: Zimperium integrates with UEM for device enrollment and policy enforcement; automated manual-enrollment assumption creates incomplete_deployment for large-scale Zimperium deployments without UEM-based app push; automated should configure UEM integration for automated device enrollment. MAST CREDITS ARE CONSUMED PER SCAN: Zimperium MAST app analysis consumes scan credits; automated unlimited-scan assumption creates credit_exhausted for high-frequency app scanning workflows exceeding purchased scan credits; automated must monitor scan credit balance for MAST workflows.
Use Cases
- • Detecting mobile malware and phishing attacks on employee devices using on-device ML for mobile security operations agents
- • Scanning mobile application APK and IPA files for security vulnerabilities before production deployment for DevSecOps agents
- • Integrating mobile threat events with SIEM for unified threat correlation across endpoint and mobile environments
- • Monitoring mobile device compliance posture and enforcing remediation through UEM integration for security automation agents
Not For
- • Desktop and server endpoint protection (Zimperium is mobile-specific MTD; CrowdStrike and SentinelOne serve desktop/server EDR)
- • Web application security scanning (Zimperium scans mobile apps; Burp Suite and OWASP ZAP serve web app security)
- • Mobile device management and configuration (Zimperium is mobile threat defense; Microsoft Intune and Jamf serve MDM configuration)
Interface
Authentication
Zimperium uses API key and OAuth2 for MTD REST API. REST API with JSON. Dallas, TX HQ. Founded 2010 by Shridhar Mittal and Zuk Avraham (ex-IDF). Raised $120M+ (SoftBank Vision Fund, Warburg Pincus). Products: Zimperium MTD (mobile threat defense), Zimperium MAST (mobile app security), Zimperium zIPS (on-device detection), Zimperium Mobile Application Protection Suite. On-device machine learning threat detection. FedRAMP Authorized. 500+ enterprise customers. Competes with Lookout, Microsoft Defender, and Jamf Protect for mobile security.
Pricing
Dallas TX. $120M raised. 500+ enterprise customers. Per-device annual subscription. FedRAMP Authorized.
Agent Metadata
Known Gotchas
- ⚠ ON-DEVICE DETECTION HAS CONNECTIVITY LATENCY: Zimperium on-device detection results sync to cloud on device check-in; automated real-time assumption creates event_delay for threat events not yet synced from device to Zimperium cloud; automated should use webhooks for near-real-time event notification
- ⚠ MAST SCAN IS ASYNCHRONOUS: Mobile app security scans are queued and processed asynchronously; automated inline-result assumption creates missing_scan_results for scan result queries before analysis completes; automated must poll scan job status using returned scan ID
- ⚠ DEVICE IDs ARE ZIMPERIUM-INTERNAL: Zimperium assigns internal device IDs separate from UEM device IDs; automated UEM-ID assumption creates device_not_found for Zimperium queries using UEM device identifiers without ID mapping; automated must maintain mapping between Zimperium device ID and UEM device ID
- ⚠ THREAT SEVERITY IS ZIMPERIUM-CLASSIFIED: Zimperium uses Critical/High/Medium/Low threat severity; automated binary-threat assumption creates triage_mismatch for downstream systems not handling Zimperium's four-level severity in alert routing; automated must map Zimperium severity to SIEM priority levels
- ⚠ APP ANALYSIS REQUIRES APK/IPA UPLOAD: MAST app analysis requires uploading APK (Android) or IPA (iOS) file; automated URL-based assumption creates scan_not_started for MAST workflows that provide app store URL instead of binary file; automated must upload app binary for MAST analysis
Alternatives
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Scores are editorial opinions as of 2026-03-07.