We just launched cheating detection in AI screening interviews

Remote hiring has a trust problem.

When candidates take automated interviews, recruiters always wonder:

• Is the candidate actually present?

• Are they reading answers from another screen?

• Is someone else helping off-camera?

• Did the video “drop” conveniently during key answers?

Until now, there was no reliable way to verify this.

🎯 What we launched today

InterviewFlowAI now detects integrity issues during screening interviews using video, audio, and behavioral analysis.

Our new cheating detection system analyzes:

• 👀 Eye movement patterns (screen reading vs natural recall)

• 🙂 Facial expressions & engagement signals

• 🎙 Speech activity detection (is the candidate actually speaking)

• 📹 Video blackouts during active answers

• 🔄 Audio–video mismatch (speech without visual confirmation)

• ⚠️ High-risk moments flagged with severity levels and timestamps

Instead of just recording interviews, we now surface key integrity moments automatically, so recruiters can review only what matters.

🧠 How it works (high level)

• Establishes a clean behavioral baseline at the start

• Continuously monitors eye movement, facial cues, video feed, and speech

• Detects anomalies against that baseline

• Marks suspicious moments on a timeline with exact timestamps

• Generates an integrity report alongside the interview score

👀 Why this matters

AI made screening faster.

But it also made cheating easier.

We believe the future of hiring must be:

Fast. Fair. Verifiable.

This update is a big step toward restoring trust in remote hiring.

Would love feedback from recruiters, founders, and hiring teams.

Happy to answer questions in the comments 🙌

— Mukul

Founder, InterviewFlowAI