System Integrity Agent: Detect Hidden Exam Cheating

The Cheating Your Webcam Will Never See!

System Integrity Agent (SIA) watches the device, not the student. A lightweight, privacy-first program that detects remote-access tools, screen-sharing apps, hidden monitors and overlay windows during online exams then deletes itself the moment the exam ends.

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Online Cheating Doesn't Live in the Browser Anymore.

Every online proctoring platform built in the last decade is looking at one of two things the student’s face, or the student’s browser.

Part of the Proctorly integrity stack. Built on TatvaOne.AI

That gap is where modern cheating now lives. In 2026, the average cheating stack on a student’s desk looks like this:

  • A second laptop running ChatGPT, just out of webcam frame.
  • AnyDesk or TeamViewer quietly handing screen control to a paid expert in another country.
  • A transparent overlay window floating answers directly on top of the exam screen.
  • Discord on a phone with AirPods feeding answers by voice while the student "looks down to think."
  • OBS or screen-recording tools capturing every question for resale on Telegram by tomorrow morning.

A webcam can’t see any of it. A locked-down browser can’t see any of it. And the institution running the exam has no idea any of it happened.

SIA was built to close that gap. It sits one layer beneath the browser, at the operating-system level, where it can finally see the full picture of what’s happening on the device during an exam.

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Neither of them sees the machine.
Features

Six Capabilities. One Lightweight Agent.

Remote-Access Detection

Identifies AnyDesk, TeamViewer, Chrome Remote Desktop, RustDesk, Splashtop and 200+ other tools the moment they launch.

Screen-Share & Recording Detection

Flags OBS Studio, Zoom screen-share, Microsoft Teams broadcasting, Discord screen-share, ShareX and other capture tools in real time.

Multi-Monitor Awareness

Counts every display connected (wired or wireless) to the machine throughout the exam. No more invisible second screens.

Overlay Window Detection

Catches transparent and always-on-top windows positioned over the exam — the hardest cheating technique to detect by any other means.

4-D algorithm for data protection

Proctorly SIA uses a secure session-bound telemetry framework to protect integrity signals against tampering, replay attacks, and unauthorized interception during online examinations.

Self-Deleting Footprint

SIA deletes itself the second the exam ends. No background services. No registry entries. No leftover files. Nothing persists on the student's machine.
How It Works

Four Steps. Thirty Seconds of Setup. Zero Friction.

Step 1

 One-Click Setup - No installer. No administrator rights. No system reboot.

Step 2

Silent Monitoring During the Exam - SIA runs in the background and performs the integrity check

Step 3

Human-Reviewed Alerts - No student is automatically penalized by an algorithm

Step 4

Automatic Cleanup - The moment the exam is submitted, SIA sends its final report, stops all monitoring, and deletes itself

How SIA Compares to Conventional Approaches

Capability Area
Browser-Based Proctoring
SEB / Lockdown Browser Proctoring
Proctorly + SIA Integrity Framework

Core Architecture

Browser-only monitoring

Restrictive lockdown environment

Endpoint intelligence + policy orchestration

Primary Philosophy

Observe browser activity

Restrict student device

Verify integrity of examination environment

Installation Complexity

Very low

High

Medium-low

Student Friction

Low

Very high

Moderate, optimized for usability

Secure Browser Required

No

Yes

No

Multiple Permissions Required

Minimal

Extensive

Minimal to moderate

OS-Level Visibility

Very limited

Partial

High

Overlay Detection Capability

Very weak

Limited

Advanced behavioral detection

AI Overlay Awareness

Almost none

Limited

Designed for AI-era threats

Remote Desktop Detection

Weak

Partial

Strong

Virtual Display Detection

Weak

Partial

Strong

Multi-Monitor Awareness

Browser dependent

Partial

OS-level detection

Browser Escape Prevention

Weak

Strong

Policy-driven detection instead of restriction

Adaptive AI Assistant Detection

Very limited

Weak

Behavioral risk analysis

Telegram / Collaboration Helper Detection

Weak

Weak

Contextual environment telemetry

Screen Recording Detection

Limited

Partial

Strong telemetry-driven detection

Screen Recording Detection

Limited

Partial

Strong telemetry-driven detection

Visibility Beyond Browser

No

Limited

Yes

Policy Flexibility

Low

Rigid

High

Institution-Specific Rules

Limited

Difficult

Dynamic server-side orchestration

Real-Time Risk Scoring

Basic

Minimal

Multi-channel ORS scoring

Human Review Workflow

Moderate

Moderate

Deep Proview integration

Scalability for Large Exams

High

Operationally difficult

High

Helpdesk Dependency

Moderate

Very high

Reduced operational friction

Parent / Student Usability

Good

Often poor

Optimized for lower anxiety

Campus Recruitment Suitability

Weak against AI cheating

Operationally heavy

Strong balance of integrity + usability

Entrance Exam Suitability

Good UX but weaker integrity

High friction for students

Balanced integrity-first model

Works Well on BYOD Systems

Yes

Often problematic

Yes

Dependency on Machine Lockdown

No

Very high

No

Centralized Risk Engine

Rare

Minimal

Core architecture

AI-Era Readiness

Low

Medium

High

Privacy Positioning

Good

Often questioned

Privacy-conscious by design

Long-Term Industry Direction

Limited

Aging architecture

Future-oriented integrity framework

Best Use Case

Low-stakes assessments

Highly controlled exams

Modern scalable online assessments

99%

Stop Trusting Only What the Webcam Can See.
Privacy And Data Handling

What SIA Sees

  • Names of running executable processes (e.g. anydesk.exe, teams.exe)
  • Number of displays connected to the computer
  • Technical characteristics of overlay windows — never their content
  • A confidence score and timestamp for each signal

What SIA Will Never See

  • Screenshots or screen recordings
  • File names, folder contents, or browser history
  • Personal documents, emails or communications
  • Microphone or camera input

Browser-only proctoring shows you about a third of what’s happening on a student’s machine. Let’s fix that.

Have Any Questions on Minds!

Frequently Asked Questions

Our Frequently Asked Questions section is designed to help you get clarity before starting your project curious about pricing, revisions

Q1. What is System Integrity Agent (SIA)?

A1. System Integrity Agent (SIA) is a lightweight, privacy-first program that monitors the device during online exams to detect remote-access tools, screen-sharing applications, hidden monitors, and overlay windows that traditional proctoring solutions may miss.

Q2. What types of cheating can SIA detect?

A2. SIA can detect remote-access software such as AnyDesk and TeamViewer, screen-sharing and recording tools like OBS Studio and Discord screen-share, additional monitors, and transparent overlay windows used to display answers during exams.

Q3. Does SIA collect personal data or record student activity?

A3. No. SIA does not capture screenshots, screen recordings, browser history, file contents, emails, communications, microphone input, or camera input. It only collects limited technical signals needed to identify integrity risks.

Q4. How does SIA work during an exam?

A4. SIA runs silently in the background, performing an encrypted system check every five seconds. Any detected integrity signals are reported for review, and alerts are evaluated by humans rather than automatically penalizing students.

Q5. What happens to SIA after the exam ends?

A5. Once the exam is submitted, SIA sends its final report, stops monitoring, and automatically deletes itself. No background services, registry entries, or leftover files remain on the student's device.