AI cheating in remote interviews (and how recruiters can detect it)

📅 March 25th | 🕓 4PM WEST | 🌍 Online (Crowdcast)
Sponsored by Remote Crew & Homerun

Tech hiring has changed.
Not in 5 years. Not in 2 years.
In the last 6 months.

AI copilots. Invisible voice assistants. Screen overlays. Full identity swaps.

Some candidates are simply trying to perform better.

Others are running coordinated fraud operations.

If you’re hiring engineers in 2026, this isn’t a future problem.

It’s already here.

Speakers:

Miguel Marques
Founder of Remote Crew and host of the Tech Hiring Community. Miguel brings 20 years of engineering and leadership experience to modern global hiring challenges.

Michael Kuczynski
Founder and CTO of InterviewGuard and former engineer at Amazon Web Services. He builds technical systems that solve complex, high stakes problems including AI driven interview fraud.

Ahad Abdullah
Founder of BlindSpꙨts, a browser based platform that detects and blocks hidden AI tools and proxy interviewers. BlindSpꙨts identifies invisible overlays and prevents cheating before the interview even starts.

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What we'll cover:

1. Why candidates cheat

Not all cheating is equal.
We’ll talk about the two distinct motivations:

• AI enhancement to “perform better.”
• Organized impersonation and fraud operations

The response to each should be different.

2. How Candidates Cheat

• AI screen overlays
• Voice-based LLM assistance
• Hidden browser agents
• Identity swaps & proxy interviewers

And more...

3. Detection Strategies: What Actually Works?

We’ll compare three approaches:

• System-Level Monitoring
• Behavioral AI Analysis
• Browser-Based Detection

Including trade-offs:

• Candidate experience
• False positives
• Legal considerations
• Implementation complexity

Who should attend

• Talent Acquisition leaders
• Technical recruiters
• Engineering managers
• Heads of People
• Founders hiring remote engineers in Europe & USA