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Technical explainers and primary-source data on AI cheating tools, exam integrity failures, and network-layer security.
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Exam Cheating Uses Attacker Tradecraft, Not Student Tricks
The remote-access tools in proxy-exam kits are catalogued in MITRE ATT&CK alongside state-sponsored intrusion groups. Same techniques, same binaries, very different defences.
Akshay AggarwalAugust 18, 2026Read →How to Tell If a Candidate Is Using AI in an Interview
Every guide lists the same behavioural tells: long pauses, scanning eyes, robotic answers. They catch candidates who cannot do the job. They do not catch the ones who can.
Divya BhanushaliStop Exam Content Theft: A Technical Guide for 2026
Where exam items actually leak on a candidate device in 2026, which capture paths a network-layer enclave closes, and which it honestly does not.
Akshay AggarwalHow to Prevent Cheating in Online Certifications (2026)
Lockdown browsers cannot see the overlays, remote-access tools, and local models that defeat certification exams. Here is what actually closes the path, and what it cannot do.
Akshay AggarwalOS-Layer Exam Protection: The Signal a Lockdown Browser Cannot See
A hidden overlay must set an OS-level flag to stay out of screen recordings. That flag is what exposes it. How OS-layer and network enforcement catch what the browser cannot, and what they cannot do.
Divya BhanushaliNetwork-Layer Proctoring: What It Sees That a Lockdown Browser Cannot
Lockdown browsers enforce policy inside one process. Overlays, remote-access tools, and local models run outside it. Here is what network-layer enforcement catches, and what it does not.
Akshay AggarwalProctoring for Technical Recruiting: Defending Engineering Integrity in 2026
Most technical-interview cheating your proctoring flags still gets through, and the invisible overlays it never sees. Here's how network-layer security closes the gap without a kernel driver.
Divya BhanushaliSecure Remote Assessment Architecture: Defending Integrity at the Network Layer
A lockdown browser secures one window; the tools defeating it don't run in one. How to architect remote assessment integrity at the OS and network layers, over a REST API, without a kernel driver.
Akshay AggarwalExam 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.
Akshay AggarwalPreventing 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.
Divya BhanushaliThe 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.
Akshay AggarwalBlocking 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.
Divya Bhanushali