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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: Threat Model · MITRE ATT&CK · Certification Fraud · Enterprise Security · Hiring · AI Cheating · Detection · Technical Interviews · Exam Integrity · Guide · Network-Layer Security · Comparison · Proctoring · Buyer's Guide · Company News · Awards · Technical · DNS · Architecture · Session Security · Credentials
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.
Divya BhanushaliHow 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.
Akshay AggarwalBest 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.
Akshay AggarwalAiseptor 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.
Akshay AggarwalHow 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.
Akshay AggarwalDNS 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.
Akshay AggarwalWhy 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.
Akshay AggarwalWhy 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.
Divya BhanushaliCertification 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.
Akshay AggarwalHow 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.
Divya Bhanushali