Over Half of All Mobile Apps Send Your Data to AI. Do You Know Which Ones?
AI is entering first-party mobile apps through new features, generated code, third-party SDKs, and
embedded services, bringing new security, privacy, compliance, and governance concerns with it. Most
teams still cannot clearly see which apps use AI. NowSecure helps identify where AI is present so
organizations can focus review where it matters most.
See What AI Findings Look Like in a Real Report
Review a sample of how NowSecure surfaces AI use across mobile apps, helping teams understand which apps warrant closer security, privacy, compliance, and governance attention.
AI Discovery and Visibility
- Identify apps that use AI models or AI-powered services
- See where AI enters through code, SDKs, and third-party components
- Understand which teams or vendors introduced AI functionality
- Build a clearer inventory of AI across your mobile ecosystem
Shadow AI at Runtime
- Detect runtime activity that may not appear in code review
- Surface third-party connections and live AI interactions
- Expose hidden behaviors outside standard review processes
- Understand what apps are actually doing when they run
Mobile App Risk Prioritization
- Prioritize issues based on security, privacy, and compliance impact
- Identify which apps require immediate review or remediation
- Avoid treating every app as if it carries the same level of risk
- Concentrate resources where action matters most
Sensitive Data Intelligence
- See what data AI systems can access, collect, or move
- Understand where sensitive data flows create risk
- Identify potential exposure of business or personal information
- Support stronger security, privacy, and governance decisions
See What AI Is Doing in Your Apps
Get a clearer view of hidden AI, exposed data, and the mobile app risks that matter most.
The AI Security Solution for Mobile Apps
AI is changing how risk shows up in mobile apps. NowSecure gives teams the platform to find hidden AI, test deeper behind the login, uncover exposed data, and reduce the security, privacy, and compliance risks that matter most.
Speed Secure Mobile App Delivery
NowSecure Platform is fully automated and integrated and can be used continuously by development or security teams to test mobile apps and accelerate release schedules while reducing organizational security risks.
Combine Continuous Automated with Periodic Manual
NowSecure Platform provides continuous, integrated, automated mobile app security and privacy testing. Equip your security teams and executives with additional coverage and tools with NowSecure Pen Testing Services and NowSecure Workstation.
Shift Right and Protect the Supply Chain
The mobile app landscape includes many apps which could pose a security threat to your organization even if they are not apps you’ve built. Utilize NowSecure Platform to assess the mobile apps your teams use for security issues.
Shift Left and Train More
Training is a critical missing link in the development of secure mobile apps. NowSecure Academy is a free resource for all development and security professionals to take advantage of and learn secure coding and mobile app testing best practices.
Why Teams Trust NowSecure for Mobile AI Security
Integrating automated scanning into the CI/CD pipeline has been transformative for us.
If the device stops working, the patient stops working.
Tickets include remediation suggestions from NowSecure which are very, very helpful.
“It’s a huge workload lifted from my mobile security team.”
NowSecure continuously monitors the Habit Mastery app for security and privacy vulnerabilities and gives it a clean bill of health, providing our users with confidence that their data is secure while they build and maintain positive habits.”
NowSecure Platform automates security testing throughout our DevSecOps pipeline from the build process all the way to issues ticketing.”
NowSecure has been a huge benefit because it saves a lot of time and gives us peace of mind knowing we have continuous testing coverage.”
One of the best things about moving to NowSecure is not having to fan through a 110-page security audit to figure out what bugs and security issues you need to address.”
We reached out to NowSecure and were pleased that they rapidly responded in 24 hours to test our mobile app so we could speed it to market from start to finish in just a few weeks.”
It’s a significant relief for the team when an independent third party like NowSecure tests the app and certifies that both the code and the DevOps side of our production implementation are secure.”
We rarely get things that are ready to go out of the box, but when we received the NowSecure solution, we were up and running the same day.”
Unless you have infinite time and money and can hire your own team of penetration testers, then NowSecure is an absolutely incredible solution for testing your mobile apps for security vulnerabilities.
NowSecure Platform helps reassure our enterprise customers that we’re effectively managing risk.
FAQs
What does NowSecure mean by mobile AI risk?
Mobile AI risk refers to the security, privacy, compliance, and data exposure issues created when mobile apps use AI models, AI-enabled services, third-party SDKs, or connected components. That includes both intentional AI adoption and AI capabilities introduced through vendors or external dependencies.
How does NowSecure help identify where AI is present in mobile apps?
NowSecure helps teams discover where AI is being used across the mobile app environment, including code, SDKs, APIs, and third-party components. This gives organizations a clearer view of which apps use AI and where those capabilities may introduce risk.
What is shadow AI in a mobile app environment?
Shadow AI refers to AI-related functionality, behavior, or external connections that may not be fully understood, documented, or governed by the organization. In mobile apps, this can include embedded AI features, third-party services, or runtime behaviors that are not obvious from static review alone.
Why is runtime visibility important for mobile AI risk?
Runtime visibility matters because some app behavior only becomes clear when the app is executing. Static analysis can show what is present in code, but runtime analysis can reveal live AI interactions, third-party connections, and data flows that affect security, privacy, and compliance risk.
How does NowSecure help prioritize mobile app risk?
NowSecure helps teams focus on the apps and issues that matter most by highlighting where risk is concentrated. Instead of treating every app the same, security teams can prioritize review, remediation, and policy action based on actual exposure and business impact.
What kinds of sensitive data can be exposed through AI-enabled mobile apps?
Sensitive data may include personal information, business information, customer data, credentials, financial details, health-related data, location data, or other regulated or confidential information. The specific exposure depends on what the app collects, what connected AI services can access, and how data moves at runtime.
Can NowSecure help identify third-party AI risk in mobile apps?
Yes. Mobile AI risk is not limited to an app’s own code. It can also come from third-party SDKs, APIs, embedded services, and external AI providers. NowSecure helps teams understand where those components are present and how they may affect the app’s risk profile.
Is this only relevant for apps my company builds?
No. It is relevant for apps your business builds, buys, and uses. Risk can exist in first-party apps, partner apps, white-labeled apps, and mobile apps used internally by employees or externally by customers.
Does this replace mobile app security testing?
No. It strengthens decision-making around mobile app security by adding visibility into AI usage, runtime behavior, risk concentration, and sensitive data exposure. It helps teams understand where to focus and what requires further investigation or remediation.
Who benefits most from this visibility?
This is especially useful for security, privacy, compliance, governance, and mobile engineering teams that need to understand where AI is present, how it behaves, and what risks it introduces across the mobile app environment.
What business problem does this solve?
It helps organizations move from uncertainty to action. Instead of guessing where AI is being used or where exposure may exist, teams get clearer visibility into AI presence, behavior, data access, and risk so they can act with more confidence.