Oct 17, 2025 | 3 min read

How Integrity Advocate Prevents Cheating in Online Exams

Identity Verification
Participation Monitoring
Security

Online assessments should be fair, secure, and accessible. As online exam tools evolve, so do attempts to game the system, making online cheating prevention a crucial focus. Integrity Advocate helps you prevent cheating without adding complexity, combining identity verification, environment checks, AI-assisted monitoring, and human review to protect integrity while respecting learner privacy.

What privacy-first prevention means, and why we believe in it

Privacy-first prevention protects integrity without collecting more data than necessary or taking intrusive control of a learner’s device. It runs inside your LMS, uses targeted signals rather than full device access, and keeps data retention limited and transparent, which is vital for effective online cheating prevention.

Why we believe in it
Security should earn trust. When learners understand what is collected and why, and when the experience stays accessible and low-burden, participation improves, compliance is easier to maintain, and your outcomes are more defensible.

How it prevents cheating for online exams

  • Identity Verification: Verify the right person is taking the online exam or assessment at launch and throughout the session, which reduces impersonation and proxy testing, essential components of online cheating prevention.
  • Environment and behavior signals: Detect patterns tied to hidden plugins, unauthorized resources, off-camera help, and device hand-offs while minimizing false positives.
  • Hybrid Proctoring: Automation surfaces risk signals at scale, trained human reviewers add context and empathy, and final decisions stay fair and defensible.
  • Audit-ready evidence: Time-stamped artifacts and clear notes support quick investigations and policy enforcement.

What we prevent and how

online exams
  1. Hidden plugins and page helpers
    We surface indicators of undisclosed browser extensions and on-page answer helpers. Signals and reviewer checks identify prohibited tools, then produce clear, time-stamped evidence for online cheating prevention.
  2. Unauthorized tabs and extra devices
    Session behavior and view analysis help flag the use of outside content, second screens, and unapproved devices, aligned to your exam rules.
  3. Impersonation and proxy test-taking
    Identity checks check the exam taker to their identification and to their name in the LMS. We confirm the right person at launch and throughout the session.
  4. Collusion and off-camera assistance
    We look for signs of remote helpers, verbal cues, and presence of others.
  5. Device switching and session hand-offs
    Continuity monitoring and event patterns make mid-exam swaps visible. When something looks off, reviewers step in and your team receives defensible evidence.

Preventing these risks reliably requires the right balance of automation and human judgment to optimize online cheating prevention.


Why hybrid proctoring works

Automation finds patterns at scale and humans add context, fairness, and final judgment. Integrity Advocate blends both to reduce false positives and deliver decisions you can defend to regulators, customers, and accreditors, while keeping the experience seamless for learners with a focus on online cheating prevention.


Designed to fit your LMS and your policies

  • No-install launch: Runs where your learners already are.
  • Configurable rules: Align settings with your policies and industry needs.
  • Accessible and global: Works across devices, bandwidth, and accommodations.
  • Audit-ready reporting: Time-stamped evidence and reviewer notes streamline investigations.

What your team gains

  • Clear signal, less noise: AI surfaces the right moments, reviewers handle edge cases.
  • Privacy by design: Minimal collection and retention aligned to your requirements.
  • Scale with confidence: From certification and licensure to workforce training and education.
  • Measurable integrity: Trends and outcomes help you refine policies over time.

See it in action

Want to watch how we detect hidden plugins, prevent impersonation, and keep sessions fair without extra burden on learners? Request a demo

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