Abdolmadjid Masoomi
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surveillance

19 pieces

  • AI in Hiring: Your Rights When an Algorithm Screens You

    Candidates have more room to ask questions than they think, and less than they deserve.

    Automated screening shapes who reaches a human recruiter, yet candidates rarely know it was used or how to challenge it. Understanding ai in hiring rights allows applicants to request data and accommodation, while employers remain liable under anti-discrimination law regardless of vendor claims.

    2026-09-14 · technical-essay · 8 min read

  • AI Meeting Note-Takers: Who Consented to the Recording?

    A bot invited by one participant records everyone, and the transcript lives on after the call.

    AI note taker consent is often assumed rather than obtained, creating legal and ethical risks. One participant’s invitation does not grant permission to record others. This analysis examines the collision between automated transcription and privacy norms.

    2026-09-14 · technical-essay · 7 min read

  • AI Toys and Smart Speakers in a Child's Room: What They Record

    A talking toy is a microphone that a child confides in; set it up as if every conversation will be kept.

    Conversational toys and smart speakers in a child's room are designed to encourage free speech, turning private spaces into sources of stored data. Understanding ai toys privacy requires examining how these devices capture, process, and retain voice recordings that children cannot meaningfully consent to.

    2026-09-14 · technical-essay · 8 min read

  • Can Your Employer See Your Screen? Workplace Monitoring Explained

    What monitoring software can capture, what it usually does, and where personal devices stand.

    Employees often underestimate the visibility of managed work laptops while overestimating employer access to personal phones. The privacy risk lies in mixing these environments, as ownership and management dictate data exposure. Understanding these boundaries is essential when asking can my employer see what i do on my computer.

    2026-09-14 · technical-essay · 9 min read

  • Crossing a Border With Your Phone: How to Prepare Your Devices

    At a border the threat is compelled access, which calls for carrying less rather than encrypting more.

    A border phone search targets compelled access, not theft. Encryption alone fails when you must unlock the device. The effective defence is data minimisation: carry only what you need, keep the rest in accessible accounts, and power down before inspection.

    2026-09-14 · technical-essay · 7 min read

  • GPS Spoofing Explained: When Location Data Lies

    Jamming announces itself; spoofing keeps the map calm and confident while it moves you somewhere else.

    Satellite positioning was built to be received by anyone, not authenticated. This means a receiver has no native way to tell a real signal from a convincing fake. Understanding what is gps spoofing reveals why location data is fragile and why cross-checking is essential for security.

    2026-09-14 · technical-essay · 7 min read

  • How to Remove Your Personal Information From Data Brokers

    Removal is a recurring process, and the only regimes that work are the ones that repeat.

    You cannot permanently erase your digital shadow with a single request. To effectively remove personal information from data brokers, you must treat privacy as a maintenance schedule rather than a one-time event. This guide outlines the mechanisms of data aggregation and the practical steps to minimise your exposure.

    2026-09-14 · technical-essay · 8 min read

  • Insider Threat in Remote Teams: Signals Without Surveillance

    Watching access and data movement works better than watching employees.

    Most insider threat programmes fail because they watch people instead of data. Screen recording erodes trust and misses the actual exfiltration. We must shift focus to access patterns and data movement to catch real risks without invasive surveillance.

    2026-09-14 · technical-essay · 9 min read

  • School Apps and Student Data: Questions Parents Can Ask

    Schools adopt dozens of platforms a year; parents can ask five questions that reveal the risk.

    Educational technology is often approved one tool at a time, leaving no one to track the combined data footprint of a child. Parents do not need legal expertise to engage; asking what is collected, who processes it, and how it is deleted surfaces most problems in student data privacy.

    2026-09-14 · technical-essay · 8 min read

  • Smart Glasses and Facial Recognition: Privacy for the People in View

    Consent designs built around the wearer ignore everyone the camera looks at.

    Smart glasses privacy is compromised by a design that places consent solely with the wearer, leaving bystanders with no agency. When recording merges with identification, ambient capture becomes targeted surveillance, demanding regulatory focus on capability rather than etiquette.

    2026-09-14 · technical-essay · 10 min read

  • Why Cybercrime Markets Moved From the Dark Web to Chat Apps

    Convenience, reach and disposable channels beat hidden services for most criminal commerce.

    The migration of cybercrime marketplaces from hidden services to mainstream messaging platforms reflects a shift towards convenience and reach. This transition lowers barriers for low-skill actors while creating new visibility vectors for defenders who understand the underlying mechanics.

    2026-09-14 · technical-essay · 8 min read

  • Your AI Chat History Is a Record: Courts, Breaches and Reviewers

    The bigger privacy risk is not training; it is logs that can be produced, reviewed or leaked.

    Most people assume the greatest risk of using AI is model training, but the real danger lies in retained chat logs. These records behave like email: they are discoverable in litigation, subject to preservation orders, and exposed in breaches. Understanding whether are ai chats private requires looking beyond training data to how organisations store and process your inputs.

    2026-09-14 · technical-essay · 8 min read

  • Metadata Is the Message

    Why who you contacted, when, and from where says more than what you said

    Content is expensive to analyse and easy to encrypt. Metadata is cheap to analyse, hard to hide, and sufficient for most conclusions anybody wants to draw about a person. Why the distinction is drawn where it is, and what follows from it.

    2026-09-12 · technical-essay · 4 min read

  • The Face Is the Password Now

    Biometrics solve the problem of remembering and create the problem of not being able to change

    A face unlocks a phone, clears a border and, increasingly, confirms an identity to a service that has never met you. What biometrics genuinely fix, the property that makes them different from every other credential, and where the distinction between matching on your device and matching on somebody else's server decides everything.

    2026-09-12 · technical-essay · 4 min read

  • The Record Outlives the Decision

    Every privacy question people argue about is really a question about how long something is kept and by whom

    Consent, targeting, surveillance, data brokerage and the ethics of machine learning are usually argued as separate disputes. They share one structure: a decision made in a moment produces a record that persists far beyond it, and nearly all the harm lives in that gap. A single frame for the field, and what follows from it.

    2026-09-12 · technical-essay · 5 min read

  • What Smart Devices Send Home

    A speaker that only listens for its wake word still has a great deal to say about you

    The argument about whether these devices record everything misses the more consequential point: the traffic they generate when working exactly as described already describes your household in detail. What leaves, what it reveals, and the questions that separate a device you can live with from one you cannot.

    2026-09-12 · technical-essay · 4 min read

  • Your Car Is a Data Broker

    The vehicle collects more than the phone did, and almost none of the habits people have built apply to it

    A modern car knows where it goes, how it is driven, who is in it, what is said near the microphone and which phone is paired to it. It has a permanent connection, an opaque update channel, and no meaningful setting to turn any of it off. What that implies, and the few points where a driver still has leverage.

    2026-09-12 · technical-essay · 4 min read

  • Before You Post That Photograph

    What actually reduces the exposure, what only feels like it does, and why the difference matters more for children

    Practical measures for photographs you share online, ordered by how much they actually change, and honest about which are close to useless. A companion to a longer argument about what retained images are worth to the systems that keep them.

    2026-09-11 · field-note · 5 min read

  • You Are the Training Set

    What the free photograph pays for, and who is holding it in fifteen years

    A birthday photograph uploaded today is not consumed and discarded. It is retained, indexed, and used to teach systems that will still be running when the child in it is grown. This is an argument about what that permits, written as a scenario, because the mechanism is ordinary and the consequence is not yet.

    2026-09-11 · founder-essay · 6 min read