As soon as Agentic AI emerged as the next evolution of Generative AI, we began exploring how autonomous, reasoning AI could transform the mobile support experience. Today, we’re releasing a groundbreaking new service that applies this technology to one of the hardest problems in mobile security: helping everyday users resolve on-device threats quickly and confidently. This new capability is now delivered through Appdome’s Agentic AI-powered Support Agent, an autonomous AI teammate built specifically for mobile threat remediation.
I’m super excited to share it with you.
Disastrous Support Cycles When Mobile Attacks Happen
Here’s the basic problem. Mobile app security products are sold to cyber teams. These products focus on defense, not users. However, users often carry the attack on their mobile devices. When a mobile app security product detects a threat, the user’s life or work stops. They’re blocked from using the app—and everything only gets worse from there.
The diversity of mobile apps, devices, malware, spyware, and other threats is enormous and growing. Today, the average user faces six (6) mobile attacks per month, and that number keeps rising. Legacy mobile app security products can’t identify these threats accurately and don’t consider the user in their defense models. The result is confusion, friction, frustration, and unnecessary device resets or app deletions.
Here’s what mobile end users face when cyberattacks strike:
- Lack of Threat Data. Legacy tools provide vague alerts without the specific, contextual data needed to resolve the threat.
- Manual Support. Users bounce between support centers, cyber teams, and vendors—without meaningful information—until someone suggests resetting the device.
- Mobile Abandonment. When remediation guidance is unclear or nonexistent, businesses lose users, and attackers retain the advantage.
How to Use Agentic AI to Support Mobile Users When Attacks Happen
Large Language Models (LLMs) and GenAI can analyze broad data sets—but they cannot independently reason over threat signals or take action without being prompted. Agentic AI extends GenAI with autonomous reasoning, decision-making, and multi-step workflows, making it ideal for real-time, personalized threat remediation.
To resolve on-device attacks effectively, the AI must understand:
- the threat type
- attack method
- device model
- OS version
- configuration
- user context
It must also be able to autonomously break the task into steps, retrieve relevant information, generate precise instructions, and refine its guidance as needed. This is exactly what Appdome’s Support Agent is designed to do.
When a threat is detected on a mobile device protected by Appdome, the system generates a ThreatCode™—the exact DNA of the attack. Support, IT, and cyber teams can now provide this ThreatCode to Support Agent, which uses autonomous, multi-step reasoning to analyze the attack, identify its location, evaluate its severity, and produce exact remediation steps tailored to the device and OS.

Here’s how it works:
Understanding the Threat
Step #1 is understanding the attack. Support Agent uses Agentic AI to interpret the ThreatCode™, evaluate the threat behavior, cross-reference Appdome’s threat intelligence, and produce a human-readable explanation of the malware, spyware, or risk on the device—its impact, behavior, and implications.
Finding the Threat
Step #2 is locating the malicious element. Support Agent autonomously constructs a step-by-step discovery workflow tailored to the device model, OS version, and threat type.
If the threat hides inside a suspicious app, Support Agent may guide the user to permissions screens, system settings, or hidden indicators typically overlooked by human support teams.
This dramatically reduces user confusion and accelerates time-to-discovery.
Resolving the Threat
Step #3 is neutralizing the threat. Support Agent dynamically generates clear, context-aware, procedural remediation instructions, adapted to each device’s configuration.
If a malicious app is involved, Support Agent may advise:
- uninstalling the app
- revoking dangerous permissions
- clearing associated storage
- updating system settings
- rescanning for persistence
This precision-driven model avoids unnecessary resets, prevents data loss, and gets users safely back into the app.
All of this is now available inside Appdome’s Support Agent.
Better Cyber Support Through Agentic AI
Imagine a world where mobile support teams and everyday users have an autonomous AI teammate standing beside them during every attack. With Support Agent’s reasoning-driven workflows, threat awareness spreads across organizations—not through training or manuals, but through an AI that teaches, guides, and resolves in real time.
Here are my top 5 reasons to use Agentic AI to support mobile users everywhere:
- Faster Resolutions: Autonomous reasoning enables rapid, consistent guidance that shortens the time-to-remediation dramatically.
- Enhanced User Empowerment: Users learn, understand, and resolve threats with clarity and confidence—not confusion or fear.
- Reduced Support Burden: Support teams avoid escalations and manual investigations; the Agent handles the heavy lifting.
- Shorter Window of Vulnerability: Instant identification and remediation reduce the time attackers have to exploit the device.
- User-Specific Precision: Support Agent tailors every remediation workflow to the device, OS, threat type, and context, ensuring maximum accuracy.
Together, this creates a more secure mobile ecosystem and a dramatically improved support experience.
Appdome’s Support Agent
Appdome’s Agentic AI-powered Support Agent is the first autonomous system built specifically to remediate mobile threats for real users at scale. It brings reasoning, structured workflows, and user-specific remediation into a single, integrated support system for Android and iOS apps.
In a world where threats multiply daily, point products and generic AI tools simply cannot keep up. Support Agent replaces manual, fragmented remediation workflows with a fully autonomous AI teammate that guides users safely back into their apps and reduces the burden on support, IT, and cyber teams.
I look forward to hearing your stories as you deploy Support Agent.
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