Why RedyHireTrust and Safety

AI has changed hiring. It has changed cheating too.

RedyHire helps teams detect regular cheating signals and AI-assisted cheating, including tools that claim invisibility, while reducing false positives and protecting honest candidates.

Policy Control Surface

Define the rule. Apply it fairly.

Trust policy active

Stage intent

Baseline coding skill without live AI assistance

Proctoring On

Detect

Hidden overlays, external copilots, and suspicious support patterns.

Review

Give recruiters context before a flag becomes a conclusion.

Protect

Reduce false positives and keep the process fair for honest candidates.

The Problem

Why hiring integrity is harder now

Modern AI assistance is harder to detect, basic monitoring can create false confidence, and heavy-handed controls can punish honest candidates. Teams need clearer rules, stronger detection, and fewer false positives.

Stealth AI assistance is harder to catch.

Invisible overlays, external copilots, and off-screen assistance mean that old webcam-first controls are no longer enough.

Basic monitoring creates false confidence.

A shared screen or webcam view can make a round look secure even when the real assistance is happening somewhere else.

False positives damage fairness.

If the system overreacts to weak signals, honest candidates lose trust in the process and recruiters lose trust in the flags.

One trust rule cannot fit every stage.

Some teams allow AI in selected rounds. Others restrict it when they need to measure baseline skill, originality, or independent reasoning.

Our View

The platform should not choose the policy for you.

Some teams allow AI. Some restrict it. Some want visibility without a blanket ban. RedyHire lets you define the rule for each stage and apply it consistently.

Configurability

Choose the proctoring posture for each round

Trust and safety should adapt to the purpose of the stage. RedyHire helps teams choose the policy that fits the round instead of forcing one default stance.

Proctoring Off

Use this when the stage is meant to reflect real working conditions and the team is comfortable allowing open tool use.

Proctoring On

Use this when the stage is meant to test baseline skill, independent reasoning, originality, or role readiness without live assistance.

Calibrated Proctoring

Use this when the team wants visibility into assistance patterns and exceptions without applying the heaviest controls.

What RedyHire Detects

What RedyHire detects

A direct view of the common cheating patterns and support signals teams worry about most.

Detection Type

Copy paste

RedyHire

Yes

Notes

Detected and flagged when relevant to the stage policy.

Detection Type

Out of assessment window

RedyHire

Yes

Notes

Detected and flagged when relevant to the stage policy.

Detection Type

Use of ChatGPT or Gemini

RedyHire

Yes

Notes

Detected and flagged when relevant to the stage policy.

Detection Type

Use of stealth AI tools like Interview Coder

RedyHire

Yes

Notes

Detected and flagged when relevant to the stage policy.

Detection Type

Use of custom-built tools

RedyHire

Yes

Notes

Detected and flagged when relevant to the stage policy.

Detection Type

Help from second person

RedyHire

Yes

Notes

Detected and flagged when relevant to the stage policy.

Detection Type

Multi screen

RedyHire

Yes

Notes

Detected and flagged when relevant to the stage policy.

Detection Type

Multi device

RedyHire

Partial

Notes

Partial depending on the signal surface available in that round.

How It Works

How configurable proctoring works in practice

RedyHire helps teams carry trust from policy definition to enforcement review, so integrity decisions are clearer and fairer.

01

Define what the stage is meant to measure

Decide whether the round is testing tool-enabled execution, baseline skill, authenticity, or independent reasoning.

02

Choose proctoring off, on, or calibrated

Set the posture that fits the round instead of forcing the same control model across every hiring stage.

03

Detect regular and AI-assisted cheating signals

Look beyond webcam-only checks to identify hidden support patterns, AI-assisted misuse, and tools that claim invisibility.

04

Review flags without punishing honest candidates

Give recruiters stronger context so they can separate real misuse from noise and reduce false positives.

05

Carry trust context into hiring decisions

Keep integrity insight connected to assessments, AI interviews, and evaluation so final decisions rest on signal the team can trust.

Want to see how RedyHire would handle trust and safety for your workflow?

Schedule a demo to see how RedyHire helps teams define AI-use rules, detect misuse more reliably, and reduce false positives across assessments and AI interviews.

FAQs

Questions about Trust and Safety