Inside the Data Sheet
What You Will Learn
-
Runtime Protection for Deployed Apps
Dynamic obfuscation, anti-tampering, anti-debugging, and jailbreak and root detection that block reverse engineering and stop execution on untrusted devices.
-
On-Device Anti-Fraud
How Mobile Protect scores transactions, sessions and devices for bot, emulator and fraud signals to catch account takeover, payment fraud, identity theft and fraud farms.
-
Defense Against AI-Augmented Attacks
Attack-path mapping inside the deployed app, memory scraping and data exfiltration defense, and detection of AI-orchestrated overlay malware, scraping bots, password spraying and login automation.
Frequently Asked Questions
What is mobile RASP?
Runtime application self-protection built into a mobile app. It detects and responds to attacks while the app runs on a user's device.
Does Mobile Protect work on iOS and Android?
Yes. It is an SDK for deployed iOS and Android apps.
Will Mobile Protect slow down my app?
The SDK adds about 500 KB, with no startup delay on Android and about 10 KiB/s of telemetry.
Which frameworks does it map to?
The OWASP MASVS Resilience category for in-app protection, and MITRE ATLAS for AI-augmented attack tactics.
- OWASP MASVS Resilience (MASVS-R). The Resilience category of the Mobile Application Security Verification Standard is the canonical specification for in-app protection: anti-tampering, anti-reverse-engineering, anti-debugging, and runtime integrity (jailbreak/root detection). Direct mapping to Mobile Protect's capability tiles 1, 2, and 3.
- MITRE ATLAS. Adversarial Threat Landscape for Artificial-Intelligence Systems is the framework that catalogs AI-augmented attack tactics targeting deployed apps. Maps to the new 05 AI Defense section: attack-path mapping, memory scraping, and AI-orchestrated overlays.
