Integrity infrastructure
Know what's really on the other side of the screen.
ScreenComply detects undisclosed AI assistance in interviews, exams, and recorded video — from "invisible" overlay tools and remote takeovers on the desktop to deepfakes, off-camera coaching, and behavioral anomalies across entire cohorts.
Two products, one platform
Live sessions and recorded media, covered end to end.
The Agent watches the machine in real time; the API analyzes the recording in depth. Real-time catches the brazen — post-processing catches the subtle. Together, nothing gets through.
DESKTOP SCREENCOMPLY AGENT
The desktop agent that sees what "undetectable" tools hide.
So-called invisible AI copilots advertise that proctoring can't see them. The Agent operates below the overlay layer — fingerprinting processes, capture hooks, and display topology in real time during interviews, exams, and certifications.
- Binary, defensible verdicts: was a restricted program running — yes or no — with process hashes, timestamps, and sealed evidence
- Detects Cluely, LockedIn AI, Interview Coder, and 120+ more — including the tools that advertise as "undetectable"
- Overlay and always-on-top window detection at the compositor level — catches tools invisible to screen share
- Remote-access detection, input-source integrity, VM checks, and machine fingerprint continuity
BROWSER-BASED SCREENCOMPLY ANALYSIS
Behavioral intelligence and deepfake detection, at cohort scale.
Upload a recording — or point us at your assessment platform — and get a readable integrity report back, right in the browser. No installs, no code. Computer-vision and audio models build a full behavioral timeline from every session — gaze divergence, phones in frame, second voices, identity consistency — then rank it against its cohort to surface the outliers worth a human look. Teams that want direct integration get the same engine as an API.
- Deepfake and AI-content detection across video, audio, image, and documents — code detection in beta
- Attentiveness reports: sustained gaze divergence, phone and secondary-device detection, absence flags
- Second-voice and off-camera coaching detection, plus continuous face-identity checks that catch mid-session swaps
- Cohort-level outlier ranking, plain-English AI verdict summaries, and webhooks into your review queue
See it for yourself
Watch Cluely cheat a live interview — then watch it get caught.
Two minutes. The interviewer sees nothing. The screen share shows nothing. ScreenComply sees everything.
Click to play · 2-minute demo
Our philosophy
Verdicts when it's binary.
Signals when it's not.
Detection models surface statistical evidence — they don't pass judgment. ScreenComply is built around a flag-and-review workflow, so every escalation reaches a human with full context and a sealed evidence trail behind it.
Binary where it can be
Restricted-program detection is deterministic — yes or no, with the process hash and timestamp attached. The kind of finding an academic-integrity hearing can stand on.
Cohorts reveal the outliers
Individual signals are noisy; populations aren't. Sessions are scored against their cohort so reviewers spend time on the statistical extremes, not the median.
Humans make the call
Flagged sessions land in a review queue with the evidence packet attached. Your team decides what happens next — with documentation that holds up to scrutiny.
Where it runs
Built for the rooms where integrity is the product.
Technical hiring & interviews
Verify that the engineer you hire is the one who interviewed. Real-time AI-assistant, overlay, and remote-takeover detection — plus identity checks that catch mid-session swaps.
For hiring teams →Higher ed & certification
Protect exam validity across thousands of remote test-takers. Cohort-scale behavioral analysis surfaces the sessions your academic-integrity office should see.
For institutions →Platforms & marketplaces
Embed integrity into your assessment or interview product. Webhook delivery of integrity reports straight into your session review queue.
For platforms →For education teams
Lockdown browsers lock the browser. The cheating moved to the desktop.
Overlay AI assistants run outside the browser, invisible to screen share and lockdown alike. ScreenComply watches the whole machine — and works inside the Zoom or Meet session you already run.
| Capability | ScreenComply | Lockdown browsers | Legacy proctoring |
|---|---|---|---|
| Detects desktop AI overlays (Cluely, LockedIn AI, Interview Coder) | ✓ | — | — |
| Binary, defensible verdicts with sealed evidence and chain of custody | ✓ | ◐ | ◐ |
| Runs inside Zoom, Meet, and your existing exam workflow | ✓ | — | ◐ |
| Post-session behavioral analysis at cohort scale | ✓ | — | ◐ |
| Deepfake, voice-clone, and AI-content detection | ✓ | — | — |
| Canvas delivery and full API / webhook access | ✓ | ◐ | ◐ |
Comparison reflects typical capabilities of each product category, based on public documentation as of June 2026.
Integrations
Synchronized with the tools you already run.
Sessions sync with your Zoom and Google Meet events automatically, and integrity reports deliver into Canvas and your review queue — no new workflow for instructors or candidates to learn.
Security & privacy
Integrity software has to be beyond reproach itself.
We operate at the system-signal layer only — no private file access, no intent attribution, no content capture by default. Every session produces a tamper-evident integrity report with per-signal evidence and chain of custody, designed to satisfy federal documentation and audit requirements.
Get started
The AI cheating arms race is here. Bring infrastructure.
Talk to our team about a pilot for your next hiring cycle or exam window — most teams are live within a week.