AI security for mobile apps
Secure and govern the
AI hidden inside
your mobile apps.
Find AI usage, vulnerabilities, and sensitive data flows across your mobile app portfolio, including code you control, code you approve, and third-party apps your workforce uses at runtime on real devices.
DELIVERING OUTCOMES FOR
What we find
More than half of the
50,000+ mobile apps
NowSecure analyzes each
month contain undisclosed AI.
See where AI lives, what it connects to, and what data it touches.
Hidden AI is not a future governance problem. It is already inside the
mobile app portfolio.
Trusted By
Your mobile app attack surface
Your mobile attack surface now
includes hidden AI.
NowSecure helps your organization secure and govern mobile app risk, from code and dependencies to runtime behavior and data flows.
Close the Mobile App Gap
Mobile App Risk Management
Your developers are shipping faster with AI assistants. Your workforce depends on vendor apps that can change without warning. NowSecure analyzes compiled mobile app binaries on real devices, so hidden AI, risky SDKs, vulnerabilities, and data flows surface before they become enterprise risk.
Who it's for
Mobile app risk is no longer owned by
one team.
NowSecure gives every accountable function the evidence to find hidden AI, govern data flows, and reduce risk across the apps your organization builds and uses.
The NowSecure platform
One platform. Every app. Mobile risk
you can act on.
Each program was built for something else. NowSecure fills the gap with binary and runtime truth, not source, SBOM, or SCA assumptions.
AI governance, privacy & risk
You cannot govern AI
your inventory does not see.
Most AI governance programs cover SaaS, cloud, and employee AI tools. NowSecure builds the mobile app record those programs are missing: which apps contain AI, what data it touches, where that data goes, and who owns the risk.
The method
How NowSecure finds hidden
AI inside compiled mobile apps.
Traditional AppSec is essential for code, dependencies, and known vulnerabilities. But AI risk can also enter through SDKs, embedded models, APIs, services, generated code, runtime behavior, and data flows that standard inventories were not designed to capture. NowSecure analyzes the compiled mobile app and its runtime behavior on real devices in four steps.
Binary analysis
Analyze the shipped mobile binary to identify AI models, SDKs, dependencies, APIs, and indicators of AI-generated code
Real-device runtime
Run the app on real devices to observe live behavior, permissions, connections, and data movement.
AI component detection
Identify each AI-related component, its source, version, and risk context.
Data-flow tracing
Trace what data each component touches, moves, and sends.
See inside the binary
See all the AI inside all of your apps.
NowSecure reads the compiled binary and traces runtime behavior on the device, surfacing every AI model, SDK, and where each one sends your data.
Illustrative sample, built from real NowSecure detection categories. The result: a Dynamic SBOM showing every component and where its data lands.
What you gain
What security teams gain.
Traditional AppSec tools identify vulnerabilities. NowSecure identifies the AI components, behaviors, and data flows that create security, privacy, governance, and supply chain risk inside mobile apps.
Why NowSecure
You already run AppSec, MDM, and
SBOM tools. Here's the blind spot
they share.
Each program was built for something else. NowSecure fills the gap with binary and runtime truth, not source, SBOM, or SCA assumptions.
| You already have | The blind spot | NowSecure adds |
|---|---|---|
| AppSec / SAST Source-code scanning in CI | ❌ Sees source, not the shipped binary or third-party SDK behavior. | ✅ Binary + real-device runtime analysis of what actually ships. |
| MDM / MAM Device management & policy | ❌ Manages devices, but can't see AI or data flows inside vendor apps. | ✅ Continuous third-party app assessment, re-checked on every update. |
| SBOM / SCA Declared-component inventory | ❌ Lists declared components; misses undisclosed AI and runtime data movement. | ✅ Observed Dynamic SBOM with data destinations traced on real devices. |
Open source & open standards
We back the standards and tools the industry runs on.
We help write the mobile security standards your auditors rely on, and maintain the open-source tools that power runtime analysis worldwide.
See and govern the AI inside your mobile apps
Get a clear view of the AI, SDKs, generated code, and data flows inside your apps, plus prioritized guidance your teams can use to reduce risk and move faster.