ARGUS Platform

One intelligent
layer for endpoint defence.

One architecture that watches the endpoint, weighs what it sees against cloud intelligence, explains the verdict and acts on it.

Explore the architecture

Android endpoint

Telemetry, APK data and user context.

Secure monitoring →

ARGUS Cloud AI

Secure processing, model inference and intelligence.

Risk explanation →

Response engine

Risk explanation, containment and remediation.

Observe continuously

Behavioural monitoring in real time.

Inspect before installation

APK analysis and static inspection.

Classify with confidence

Explainable machine learning scoring.

Respond immediately

Containment and automated remediation.

Unified intelligence

Intelligence across every layer.

Six connected capabilities turn fragmented endpoint signals into clear, defensible security decisions.

Observe

Continuous behavioural monitoring

Monitor permissions, background services, process events, network behaviour and other high value signals in real time.

Events over time
00:00 06:00 12:00 18:00 24:00
Permissions Processes Network Services
Inspect

Pre installation APK analysis

Evaluate application packages before installation through manifest inspection, signatures, permissions, metadata and static indicators.

Manifest ✓
Signatures ✓
Permissions ✓
Metadata ✓
Static indicators ✓
Verdict Clean
Classify

Machine learning risk scoring

Combine multiple signals to classify software as benign, suspicious or malicious with an interpretable confidence score.

87 /100
High risk
Enrich

Threat intelligence correlation

Correlate observed artefacts with external reputation and threat intelligence to strengthen decision quality.

Actions, permissions, intents and URLs combined into a correlated security score.
Explain

Human readable analysis

Translate technical findings into clear reasons, severity levels and recommended actions for every detected risk.

Respond

Automated containment

Block network access, quarantine dangerous applications and present clear remediation information without delay.

Detection architecture

Designed as one connected system.

Intelligence continuously moves from the endpoint to the cloud and back again.

01 / Endpoint

Android endpoint

Telemetry, APK data and user context.

Secure monitoring
02 / Intelligence

ARGUS Cloud AI

Secure processing, inference and correlation.

Risk explanation
03 / Action

Response engine

Containment, remediation and automated action.

Platform signal flow
Monitoring Real time signals
APK data Application packages
Model inference AI powered analysis
Intelligence Context and reputation
Containment Immediate response
Remediation Automated recovery
Processing pipeline

From what we observe to
a defensible decision.

01

Intake

Gather what the endpoint is doing, and the context around it.

02

Normalise

Validate and prepare signals for consistent analysis.

03

Correlate

Combine static, behavioural and intelligence signals.

04

Decide

Classify risk and generate a clear explanation.

05

Act

Trigger containment and automated response.

Live use case

Detect suspicious activity
after installation.

ARGUS continues evaluating applications after trust is established and identifies risk when behaviour changes.

  1. 1
    Application begins abnormal activity

    Unexpected network access or background execution is observed.

  2. 2
    ARGUS correlates the evidence

    Behavioural signals are assessed with package data and threat intelligence.

  3. 3
    User receives a clear response

    The application is explained and contained according to risk.

Argus Sentinel Model scan logs · 09/05/2026 09:50 pm
App Verdict Confidence Action taken
Unknown Installer Malware 76.42% Quarantined
Argus Sentinel Safe 6.13% none
Field Service Safe 2.87% none
Doc Reader Safe 0.94% none

Smarter endpoint security starts here

Ready to see ARGUS in action?
Schedule a product demo and turn endpoint intelligence into decisive protection.

Schedule a product demo