JulSep
Fabric reported that 38.5% of candidates were flagged across its analysis of 19,368 interviews.
Fabric · 19,368 interviews
Patent-pending · Remote interview integrity
Verify the person, device, environment, and assistance behind every remote interview.
Capifiq detects hidden AI tools, proxy candidates, deepfakes, virtual environments, location fraud, and unauthorized input—live, with sealed evidence you can defend.
Interview in progress
◆ Live
Alex Johnson
Software Engineer — Final Round
42:18
Live Detection Feed
Hidden AI overlay detected
Cluely — Desktop window
10:24:13
Browser extension active
Interview helper extension
10:21:15
Remote desktop session
AnyDesk
10:20:01
View full timeline
● All detections are time-stamped and cryptographically hashed
Sealed, defensible evidenceWorks with any video platformBring your own ATSLive AI session monitoringAI analysis
The damage is already measurable
The hiring threat is accelerating.
AI-assisted interview fraud is not a future scenario. Its prevalence, sophistication, and downstream cost are already moving in the wrong direction.
Every interview run without integrity verification is a bet that the next hire is not one of them.Verify the interview before the risk becomes payroll, access, rework, and replacement cost.
AI interview assistance is now an industry
You're not defending against three apps.
You're defending against an ecosystem.
The tools that coach candidates through your interview are venture-funded, growing fast, and multiplying — with open-source forks and private builds shipping continuously. A denylist can't keep up, which is exactly why Capifiq detects the behavior, not the name.
$20.3M
raised by Cluely, led by a16z — a tool built, in its own words, to “cheat on everything.”
TechCrunch · Jun 2025
10M+
users claimed by Final Round AI — one interview-copilot tool among dozens.
Vendor-reported
1.53M+
users claimed by Parakeet AI, an on-screen answer overlay.
Vendor-reported
Figures vendor-reported except where sourced. Updated July 2026.
The blind spot
Screen sharing shows the interview.
Capifiq verifies the environment.
Hidden tools. Remote access. Virtual environments. You can't see them. We can.
How candidates cheatSee how hidden AI overlays work in real interviews — then secure your next interview with Capifiq.
Same interview
Capifiq verifies
1
2
3
What you see
Interviewer's screen
Visible Standard video interview
Clean interview surface
What's really happening
Candidate's screen
Interview
System Design Round
RoleSWE II
InterviewerSarah
StatusLive
Typing answer…
Hidden AI overlay
Unauthorized assistance detected
What Capifiq detects
Live evidence inside the Capifiq dashboard
Interview integrityDetection review
LiveAlex JohnsonSoftware Engineer — Final Round
Live detection feed3 events
Hidden AI overlay detected
Unauthorized desktop assistant active
•
Browser extension activeInterview helper extension
•
Remote session checkedNo active connection
Complete coverage
One platform for the whole interview environment.
From the person on camera to the device, the environment, and any live assistance—Capifiq verifies what a screen share can't show, and seals each finding as evidence. These are common categories, not a fixed list. Select one to see how it's abused and what Capifiq reveals.
Deterministic Proven, on-device evidence — every category below is surfaced as a timestamped, cryptographically sealed event.
Hidden AI Assistants
Desktop & web AI tools
Remote Control Sessions
AnyDesk, TeamViewer, Chrome Remote
Virtual Machines
VMware, VirtualBox & emulators
Virtual Cameras
OBS, ManyCam & more
Browser-Based Assistants
Extensions & web apps
Display Tampering
Screen overlays & manipulation
Identity & Proxy Candidates
Stand-ins & coached impostors
Deepfakes & Synthetic Media
AI face & cloned voice
Location & VPN Masking
Hidden or mismatched location
Unauthorized Input
Injected & alternate input devices
How it can be used to cheat
Answers appear beside the interview
A hidden desktop or web assistant can listen to the conversation and surface generated answers while the interviewer sees what appears to be a normal video call.
Behavioral analysis · surfaced as observations
Enhanced with AI behavioral analysis.
On top of the deterministic evidence above, Capifiq adds behavioral analysis — additional cues the interviewer can weigh, surfaced as plain, timestamped observations. They inform a person; Capifiq never turns them into a score, a percentage, or a verdict.
Gaze & attention
Lip-sync & audio-visual match
Response coherence
Synthetic-media & deepfake cues
Voice anomalies
Answer-timing patterns
The near-webcam second-device attack
The cheating tool may be outside the computer.
A candidate can mount a phone on the monitor bezel, let it hear the interview through its own microphone, and read generated answers while appearing to look naturally toward the webcam.
Off-host assistance pathPhone microphone → AI answer → candidate
!The phone is not paired, mirrored, or connected to the candidate's computer. To the operating system, there is no second device to find.
The AI smart-glasses attack
Or the answer is on the candidate's face.
AI smart glasses can show generated answers inside the lens, in the candidate's line of sight—no screen to share, no window to hide, and nothing installed on the interview computer.
On-face assistance pathInterview audio → AI answer → in-lens display
!The glasses run on their own battery and network. Nothing is installed on, paired with, or shown on the candidate's computer.
Detection covers the device. Methodology covers the rest.
A phone on the bezel, glasses on the face, an earpiece in the ear — none of it touches the candidate's computer, so no agent can see it. Everything that runs on the machine is caught and sealed as evidence; everything that doesn't is deterred by the Capifiq interviewer methodology, included with every account.
See the interviewer methodology →
The full picture
Detect what's on the device. Deter what isn't.
Interview integrity has two halves, and both are needed. Capifiq detects any unauthorized assistance on the candidate's machine — and deters the off-device help no software can see.
Detect · on-device
Any assistance on the machine
Hidden AI overlays, remote control, virtual machines, virtual cameras, browser copilots, display tampering — surfaced by what they do and sealed as evidence, even when the tool is new or renamed.
How detection works →Deter · off-device
Help that never touches the device
A phone, an earpiece, an accomplice off-camera. No agent can see it — so Capifiq deters it through interviewing methodology, included with every account.
How deterrence works →Two layers do the work: why a companion agent → · the meeting bot →
Why current detection falls short
Two common approaches.
One shared blind spot.
Most interview-integrity products either infer cheating from behavior or compare running software against a maintained list of known tools. One produces suspicion. The other only recognizes what it already knows.
Capifiq verification layer
Verify the interview environment—not just behavior or a static denylist.
Capifiq is designed to surface unauthorized assistance even when the exact tool is new, renamed, privately built, or adapted from an open-source project.
Behavioral inference
Watches the candidate and guesses.
These tools look for patterns that may correlate with cheating, but the signal remains indirect.
- Eye movement or looking away
- Unusual pauses or response timing
- Head, posture, or attention changes
- Outputs probability or suspicion
!Normal interview behavior can look suspicious, while a careful cheater may look completely normal.
Known-tool process scanning
Matches software against a list.
These scanners inspect known names, signatures, hashes, or window indicators associated with cataloged cheating tools.
- Requires an actively maintained catalog
- Works best on known names and builds
- New tools remain invisible until added
- Renamed or custom variants may evade matching
!A new GitHub project or private build can exist before the scanner’s list is updated.
Behavioral tools infer. Process scanners recognize known indicators. Capifiq verifies and preserves evidence.
How it works
From meeting URL to a sealed integrity report.
Capifiq fits around the interview process you already use. Create the session, invite the candidate, monitor integrity live, review any findings, and finish with a sealed report.
Create the interview session
Add the meeting URL and interview details. Capifiq creates a protected session around your existing Zoom, Teams, or Meet interview.
Meeting URL
meet.google.com/abc-defg-hij
Final roundSession ready
Create interview session
Candidate receives instructions
Capifiq emails the candidate clear instructions and a secure link to download and run the Capifiq Agent before the interview.
Your interview integrity checkSent automatically by Capifiq
Download Capifiq Agent↓
Monitor integrity live
While the interview is running, the interviewer can confirm session integrity and watch verified events appear on the live dashboard.
Interview in progressLive
Capifiq Agent connected
Environment verified
AI overlay detected
Review and act on findings
When Capifiq surfaces a finding, the interviewer can inspect the timestamped evidence and decide how to proceed with the interview.
Hidden AI overlay detectedDeterministic integrity finding · sealed
Detected at10:24:31 AM
Evidence statusSecured
Report created and sealed
At the end of the interview, Capifiq creates an integrity report with the session timeline, findings, timestamps, and sealed evidence.
Interview Integrity Report✓ Sealed
SessionFinal round
Findings1 verified
Evidence hash
a3f6b7c9e2d4…✓
No platform switch required. Keep your existing interview meeting and workflow.
Privacy by design
Clear collection.
Explicit controls.
Capifiq documents what can be captured during a monitored interview, which evidence actions are controlled by the interviewer, and how long interview records are retained.
Transparency matters.Evidence collection occurs during the interview session, and collected interview data is retained to match your enterprise retention policy.
View our security and privacy architecture →Bot present
Meeting and screen recordingWhen the Capifiq meeting bot is included in the meeting, the interview screens are recorded for the session.Interviewer controlled
On-demand display screenshotsThe interviewer can capture a screenshot of any display at any moment, whether that display is currently shared or not.Always captured
Control and hotkey activityControl-key combinations and monitored hotkey activity are captured throughout the active interview.Enterprise retention
Long-term evidence retentionData collected during the interview, including sealed integrity evidence, is retained to match your enterprise retention policy.Capifiq surfaces the finding. The interviewer makes the judgement. Findings are reviewed by a qualified person and are never the sole basis for a decision.
NIST-aligned evidence handling · SOC 2 Type II audit in progress · audit-ready evidence retained on your terms · candidate rights & review
Capifiq vs. the alternatives
Behavior can only suggest.
Tool lists only recognize what they already know.
Capifiq stands apart because it verifies the interview environment and produces direct, timestamped evidence—without depending on gaze analysis or a maintained catalog of known cheating tools.
Behavioral tools · Inference
Observe the candidate
Analyze gaze, posture, response timing, and other behavioral cues.
ProducesSuspicion scoreIndirect signal
×Can flag normal behavior and cannot prove which tool was used.
Process scanners · Known lists
Match cataloged software
Look for names, signatures, hashes, window titles, and known indicators.
ProducesKnown-tool matchCatalog dependent
×New, renamed, private, or custom GitHub builds may not match the maintained list.
Capifiq · Direct verification
Verify the environment
Surface integrity-relevant activity and record evidence as it happens.
ProducesReviewable evidenceTimestamped and sealed
✓Not limited to behavioral guesses or a static catalog of known tool names.
The key difference is coverage.Behavioral tools infer intent. Process scanners recognize cataloged software. Capifiq verifies what is happening and preserves evidence for review.
Designed for unknown tools too
| What matters | CapifiqEnvironment verification | Behavioral toolsCandidate inference | Process scannersKnown-tool matching |
|---|---|---|---|
| Core detection method | Direct environment signalsVerifies integrity-relevant activity during the session. |
Behavioral inferenceUses gaze, movement, timing, or response patterns. |
Catalog matchingChecks names, signatures, hashes, or known indicators. |
| New or previously unknown AI tool | Designed to detect the activityCoverage is not dependent on the product already being named in a list. |
Cannot identify the toolMay only generate a suspicion score from behavior. |
May miss itThe scanner must first know what indicator to search for. |
| Renamed executable or changed window title | Not dependent on the displayed nameVerification is not reduced to a filename lookup. |
No direct visibilityBehavior analysis does not validate the software identity. |
Name-based checks can failRenaming or modifying known indicators can evade simplistic lists. |
| Custom or open-source GitHub build | Environment-level coverageDoes not require the private or forked build to be cataloged first. |
Still only suspicionCannot prove that a custom assistant was present. |
Often outside the known listA changed build, hash, or process identity may not match. |
| Evidence produced | Timestamped and sealed evidenceFindings are preserved for interviewer review and the final integrity report. |
Suspicion scoreRequires interpretation and may be difficult to act on confidently. |
Process or indicator matchShows a listed match, but not necessarily the complete interview context. |
| Live interviewer visibility | Live integrity dashboardThe interviewer can review findings and act while the interview is still in progress. |
Varies by productOften centered on automated scoring rather than direct evidence. |
Scanner alert onlyTypically limited to the indicator the scanner recognizes. |
| Final interview record | Sealed integrity reportCombines the session timeline, findings, and retained evidence. |
Behavior reportDocuments observations and probability, not direct proof. |
Known-match logLimited by the scanner’s catalog and the indicators it monitors. |
Process scanner tools differ by vendor. The comparison describes the common limitation of approaches that depend primarily on maintained lists of known process names, signatures, hashes, or window indicators.
AI analysis · live and after
Analyzed live. Re-examined after.
Capifiq's analysis doesn't stop when the interview ends. It works in two passes — real-time during the session, and a deeper AI pass over the complete sealed record afterward — so nothing is missed in the moment and nothing is lost for review.
During the interview
Real-time analysis, live to the interviewer
As the session runs, Capifiq analyzes the interview environment and surfaces events and observations the moment they happen. The interviewer watches integrity status on a live dashboard and can act while the interview is still in progress.
- Live detection of on-device activity
- Behavioral and media observations as they occur
- On-demand evidence capture during the session
After the interview
A deeper AI pass over the full record
When the interview ends, Capifiq runs a thorough AI analysis across the complete sealed record — correlating the full timeline so subtle patterns that weren't obvious in the moment are surfaced in the final integrity report.
- Full-timeline correlation across the session
- Findings compiled into a sealed integrity report
- Evidence retained for later review and audit
The complete platform
The most complete interview integrity platform.
Deterministic detection at the core, enhanced with behavioral analysis — on any meeting platform and every ATS, with live and post-interview AI analysis of every signal. One platform for the entire interview, and the only one that backs it with proof.
Capifiq is the most complete interview integrity platform available. It delivers deterministic detection of on-device and environment threats, enhanced with AI behavioral analysis of the candidate and the call; works with any meeting provider and every applicant tracking system; adds optional live ID card verification; and runs both live in-interview and post-interview AI analysis across every signal collected — all preserved as one timestamped, cryptographically sealed evidence record. It is not a process-list scanner: rivals advertise a tool count because a scanner only catches names on a list — rename a binary or fork it on GitHub and they go blind. Capifiq doesn't count tools; it verifies the environment, catching unknown, renamed, forked, and private builds alike. No other tool covers this much in one place.
Deterministic detection
- Hidden AI assistants (desktop & web)
- Browser- & API-based AI (no local process)
- Shows what a detected tool is displaying
- Remote-control & screen-share sessions
- Virtual machines, sandboxes & emulators
- Virtual cameras & virtual devices
- Display tampering & hidden displays
- Unauthorized & injected input devices
- Virtualized & isolated environments
- VPN, proxy & location masking
- Device & display anomalies
Enhanced with behavioral analysis
- Gaze & attention
- Lip-sync & audio-visual match
- Deepfake & manipulated video
- Synthetic & cloned voice
- Proxy & stand-in / face consistency
- Response coherence & consistency
- Answer-timing patterns
Platform & integrations
- Works with any meeting provider (Zoom, Teams, Meet & more)
- All applicant tracking systems (ATS) supported
- Optional live ID card verification
- No platform switch — fits your existing stack
AI analysis — live & post
- Live in-interview AI analysis
- Post-interview AI analysis of every signal
- Full-timeline correlation
- Compiled into a sealed integrity report
Evidence & reporting
- Timestamped event timeline
- Cryptographically sealed reports
- On-demand cross-display capture
- Audit-ready retention
Coverage model
- Deterministic detection + behavioral analysis
- Catches unknown, renamed, forked & private tools — no list
- On-device detection + off-device deterrence
- No score, no risk band — a human decides
Deterministic detection is proof; behavioral analysis adds depth — surfaced as observations, never scores. Off-device help is deterred by interviewing methodology. Every gap, covered by one platform.
Simple pricing.
Powerful integrity.
Scoped pilotNo subscriptionCredits never expireUnlimited seats