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Research, Analysis, and Founder Perspective
Technical explainers and primary-source data on AI cheating tools, exam integrity failures, and network-layer security.
Topics: AI Cheating · Exam Integrity · Guide · Network-Layer Security · Comparison · Proctoring · Buyer's Guide · Company News · Awards · Certification Fraud · Detection · Technical · DNS · Architecture · Session Security · Credentials
Exam Security API for Developers: Neutralizing AI Cheating at the Network Layer
88% of online assessments face AI cheating risk, and lockdown browsers can't see it. Here's the REST API for network-layer exam security: real endpoints, real webhooks, no fabricated spec.
Preventing Technical Interview Cheating: A Network-Layer Framework
48% of technical candidates are flagged for AI assistance, and most still pass. Here's why behavioral signals miss it and how network-layer enforcement prevents it in live and take-home interviews.
The Secure Browser for High-Stakes Testing: Beyond Legacy Lockdown Tools
Aiseptor Secure Browser (beta) pairs window lockdown with network-layer enforcement to catch invisible AI overlays and on-device LLMs that legacy lockdown browsers can't see.
Blocking Second Device Pivots: Neutralizing the Network-Layer Blind Spot in Exam Security
Second-device pivots let candidates relay AI answers through a phone or second device outside the exam window. Here's why proctoring misses it and how network-layer enforcement blocks it.
Proctoring Software for Assessment Platforms: The Shift to Network-Layer Integrity in 2026
Proctored assessment fraud more than doubled in a year. Here's why browser-based proctoring is blind to AI overlays and on-device LLMs, and how network-layer integrity closes the gap.
How to Prevent AI Cheating in Online Assessments (2026)
A complete 2026 guide to preventing AI-assisted cheating in online exams, technical interviews, and certification tests — why webcam proctoring and lockdown browsers miss it, and the 12 network-layer methods that actually stop it.
Best Online Exam Security & Proctoring Platforms (2026)
A neutral comparison of the leading online exam security and proctoring platforms across four categories — webcam proctoring, lockdown browsers, technical-assessment tools, and network-layer security — and what each is best for.
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.