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Mobile Security

AI-Centric Intelligent Mobile Security

Shifts from passive response to AI-centric automated defense. Provides natural language Q&A and threat insight detection.

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WHY

Smartphones Are the New Security Blind Spot

Mobile malware is growing by over 30% annually. Employee smartphones blur the line between work and personal use, making them difficult to monitor with traditional PC security tools. Data leakage through BYOD devices is hard to detect, and even harder to trace after the fact.

HOW

What If AI Detects Anomalies Before They Become Incidents?

AI continuously learns device behavior patterns and detects anomalies early. When malicious app installation, abnormal network access, or unauthorized data transfer is detected, the device is immediately isolated and a report is automatically generated.

SUVSOFT

SUVsoft's Mobile Security

Works alongside existing mobile antivirus solutions to create a stronger layered defense. Security data can be queried in plain language, and AI automatically generates daily reports — significantly reducing the burden on security teams.

Key Features

Natural Language Q&A

Inquire security data in natural language and receive visual answers.

Real-time Detection

Detects threat insights in real-time and triggers intelligent response.

Automated Reporting

AI automatically generates daily/weekly reports from analyzed events.

Vaccine Integration

Works with mobile vaccines for real-time scanning during app execution.

Specifications

Supported platforms

Android
Current versions supported
iOS
Current versions supported
MDM integration
Runs alongside your existing device management
Antivirus integration
Real-time scanning at install and execution

Detection scope

Malicious apps
Checked at install and execution
Network
Abnormal connections detected
Data transfer
Unauthorised exfiltration detected, device isolated
Anomalous behaviour
Learns per-device patterns and flags deviations

Operations

Security queries
Ask in plain language, get tables and charts
Reporting
Daily and weekly reports generated automatically
BYOD
Work and personal areas kept separate
Response
Isolate on detection, report written automatically

How Deployment Works

  1. 1

    Current-state review

    We check your existing MDM and antivirus setup and the scope of devices to manage. What you already run determines how the integration is built.

  2. 2

    Integration design

    We agree how it connects to existing tools, the BYOD policy, and exactly which data is collected. The privacy scope is fixed here, in writing.

  3. 3

    Pilot

    Applied to devices in a few teams first, to see real detections and false-positive patterns.

  4. 4

    Policy tuning

    False-positive types are analysed and detection thresholds and response scenarios adjusted. This is where the line that does not disrupt work gets drawn.

  5. 5

    Rollout and operation

    Extended to all devices, operated through the automatically generated daily and weekly reports.

In Practice

Security team

“Show me devices quarantined last week and why”

Ask in plain language instead of digging through logs. Answers come back as tables and charts.

Management reporting

“Monday morning security status report”

Daily and weekly reports are generated automatically, with no manual effort from the security team.

BYOD

“Employees reading work email on personal phones”

Work and personal areas stay separate, so business data and apps are managed without touching private content.

Field and remote

“Devices connecting to internal systems from outside”

Abnormal network connections and unauthorised data transfers are detected, the device isolated, and a report logged.

FAQ

Yes, both iOS and Android latest versions are supported. It can be integrated with MDM (Mobile Device Management) solutions for unified management of employee devices.

Yes. A containerization approach separates work and personal areas, enabling management of business apps and data without infringing on personal privacy.

Yes, it integrates with existing mobile antivirus and MDM solutions to create a stronger security posture — adding AI intelligence on top of existing investments.

AI automatically analyzes daily security events and generates daily and weekly reports. Security teams receive reports each morning without any manual effort required.

No. This runs alongside your existing MDM. The MDM keeps handling device policy and management; AI-based detection and automated reporting sit on top. Your existing investment stays in place.

Antivirus matches known malware against signatures, so it struggles with threats that have no signature yet, or with legitimate apps behaving abnormally. Mobile Security learns each device's behaviour pattern and flags deviations. It is a layer that runs with antivirus, not a replacement for it.

What actually happens on the device: which app requests which permission, what it sends where, and whether it communicates at unusual times or through unusual routes. Malicious app installs, abnormal network connections and unauthorised data transfers trigger immediate isolation and an automatic report.

That is why a pilot phase comes first. We apply it to devices in a few teams, review real detections and false-positive patterns, tune the thresholds and response scenarios, and only then roll out company-wide. Starting with aggressive policies across all devices is not recommended.

In BYOD environments, work and personal areas are separated and only business data and apps are managed. Personal photos and private messaging are not collected. The exact set of collected items is agreed explicitly during the integration design stage.

Yes. SUVsoft's mobile security has been validated by overseas carriers and testing bodies: AV-TEST (Germany) mobile Anti-Virus certification, selection as a Verizon (US) promotional utility, and a supply agreement with AscentNetworks in Japan, all in 2012-2013. Since 2026 the product is also supplied in Japan through a partnership with J-Security and Exosphere Labs.

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