Outsmarted by your smart phone

By    John Garner on  Saturday, October 21, 2006
Summary: I have read various articles about how you should not leave your old PC with just anybody, more specifically your hard drive, and use software like cyberscrub myself. I was not surprised to read that Smartphones retain extremely sensitive information about you, even after a reset. WashingtonPost explain how a Smartphone user had encrypted banking […]

I have read various articles about how you should not leave your old PC with just anybody, more specifically your hard drive, and use software like cyberscrub myself. I was not surprised to read that Smartphones retain extremely sensitive information about you, even after a reset. WashingtonPost explain how a Smartphone user had encrypted banking details but that emails, pictures and contacts were not properly deleted.

It seems understandable since the procedure of deleting files on a hard drive with a 3+7+3 type method or the Gutmann method to stop even hardware recovery are unknown to most people. Smartphones work in the same way as hard drives in that they use pointers a type of File Allocation Table to indicate where a file is. Deleting a file doesn't actually delete the data, it deletes the pointer that indicates where the file is in the memory. This means the file is still there and some clever software can retrieve it.

BlackBerry devices are in theory among the most secure of smart phones, Schroader said. However, those used by consumers lack the same security features as those used by government and private companies, Laudermilch said. "Even though there may be some security features on the device, most people don't know how or when to use them," he said.

Checking the specific Smartphone company support site often reveals how to properly erase your data should you want to part with the phone. Don't let your smart phone give away vital information about you !

Article written by  John Garner

Leave a Reply

Your email address will not be published. Required fields are marked *

Recent Posts

Check out the most recent posts from the blog: 
Wednesday, June 18, 2025
The ONHT Framework for Intermediate users

This Intermediate Guide for the ONHT (Objective, Needs, How, Trajectory) Framework transforms you from someone who uses GenAI into someone who thinks with GenAI by adding the missing cognitive functions that current GenAI lacks. The framework works through three critical pillars – Empathy (understanding all stakeholders), Critical Thinking (challenging assumptions), and Human in the Loop (active partnership). Master these patterns and you'll be solving complex problems others can't even approach, becoming indispensable by designing interactions that produce exceptional results rather than just functional outputs.

Read More
Monday, June 16, 2025
The ONHT Framework: Beginners Guide

Stop getting generic AI responses. Learn the four-letter framework that transforms vague requests into precise results. The ONHT framework: Objective (what problem you're solving), Needs (key information that matters), How (the thinking approach), and Trajectory (clear steps to the answer), teaches you to think WITH AI, not through it, turning "analyse customer feedback" into board-ready insights. Real examples show how adding context and structure gets you from Level 1 basics to Level 3 mastery, where AI delivers exactly what you need.
The difference? Knowing how to ask.

Read More
Sunday, June 15, 2025
The ONHT Framework: GenAI Prompting Solutions That Actually Work for People

GenAI tools are transforming work, but most people get poor results because they don't understand how to communicate with AI built on structured data. This guide is a series of articles that teaches the ONHT framework—a systematic approach to prompting that transforms vague requests into exceptional outputs by focusing on Objectives (what problem), Needs (what information), How (thinking approach), and Trajectory (path to solution). Master this framework and develop an expert mindset grounded in human-in-the-loop thinking, critical analysis, and empathy, and you'll excel with any AI tool, at any company, in any role.

Read More
Sunday, September 24, 2023
The reliability & accuracy of GenAI

I question the reliability and accuracy of Generative AI (GenAI) in enterprise scenarios, particularly when faced with adversarial questions, highlighting that current Large Language Models (LLMs) may be data-rich but lack in reasoning and causality. I would call for a more balanced approach to AI adoption in cases of assisting users, requiring supervision, and the need for better LLM models that can be trusted, learn, and reason.

Read More
crossmenuarrow-down