Blog
Research, Analysis, and Founder Perspective
Technical explainers and primary-source data on AI cheating tools, exam integrity failures, and network-layer security.
Aiseptor Wins the 2026 Cornell Tech Startup Awards
Out of 30+ competing teams and 11 finalists, Aiseptor was named one of four winners. Here's what we built, what the Cornell pilot showed, and what the pipeline looks like from here.
How Proxy Exam Services Actually Beat Proctoring Software
Proxy exam services claim 100% undetectable bypass of Respondus, Proctorio, and ProctorU. We investigated the technical playbook: pre-launch agent injection, webcam choreography, and why process scanning misses all of it.
DNS Filtering in Exam Proctoring: How It Works and Why It Matters
Every AI API call starts with a DNS lookup. Here is why controlling name resolution is the most efficient way to block AI cheating tools in online exams.
Why Ephemeral Session Isolation Beats Persistent Agents in Exam Security
Persistent endpoint agents are always present, always a target, and always collecting data. Here is why session-scoped, gateway-enforced isolation is the right model for modern exam security.
Why Browser-Based Proctoring Fails Against AI Cheating
Browser-based proctoring monitors your screen. AI cheating happens at the network layer. Here's why these two threat models don't meet, and what detection actually requires.
Certification Proxy Rings Are Selling Credentials for $200
Pay-after-pass services will sit any online certification exam for you. Platforms can't tell the difference. Here's how the fraud works, and what a verifiable credential actually requires.
How AI Cheating Detection Actually Works: A Technical Overview
From DNS-layer blocking to local LLM filesystem scans, here is what a real AI cheating detection stack monitors, and why each layer matters.