01
Built for the fraud model recruiters are naming in 2026
Campus and volume hiring teams are reporting organized proxy networks, wearable coaching, and AI-powered cheating apps alongside classic impersonation. Assessment platforms have publicly described flagging roughly 30–35% of sessions with suspicious behavior. Ghost coder detection is not a novelty feature-it is how you keep technical scores meaningful when someone else can drive the keyboard.
- Remote-desktop and covert-control patterns during coding assessments
- Proxy candidates who pass identity theater but fail ownership probes
- Stealth AI apps that draft code while the webcam looks clean
- Reviewable timelines for recruiters, hiring managers, and security partners
02
Why browser lockdown misses the ghost
A locked browser does not see a remote operator on another machine. A room scan does not hear an earpiece. Tab-focus events do not catch an invisible overlay. Honrly prioritizes integrity signals for assistance and anomalous session behavior, then routes flags into human evidence review so you can distinguish possible help from proven misconduct.
03
From flag to fair decision
Detection only helps if operators can act. Use live monitoring for high-stakes finals and async review queues for campus volume. Capture structured observations, override notes, and retest outcomes. Silent auto-reject on a single cue creates disputes; evidence packets create defensible process.
- Live visibility when an operator needs to intervene mid-session
- Async queues for high-throughput campus screens
- Clear separation between integrity observations and skills scores