A couple of posts back I shared a sneak-peak of my webinar on data security for data monetization initiatives. That was one of many sessions we’ve ran for APAC as Protegrity entered that market in 2018. All sessions had been recorded and now I’m happy to say we’ve published excerpts of those videos on youtube. There are bits on Big Data protection, best security practices for analytical workflows, sessions on hybrid- and multi-cloud environments, as well as spotlights on specific technologies (AWS S3, OneDrive, Salesforce, Elastic Map Reduce, Tableau). The videos are 2- to 7-minute-long and go straight to the demo. I do sympathise with those of you that don’t have the time or patience to sit through a one hour webinar – I hope you like this compact format. Check out the playlist below and get to know the superpowers of Protegrity tech!
Data and analytics are fundamentally changing the way business is done. Make sure you’re ahead of the game by enabling your strategic data monetization initiatives while keeping your customer and commercial data secure.
Protegrity webinar: Building secure analytical models – Registration Link
Wednesday 6th August, 10AM CET / 4PM Singapore time
The replay will available shortly after the session.
By now every business owner in Europe would have heard about GDPR: if it didn’t hit them on the news or through social circles, the swarm of pop-ups and emails announcing policy updates would have been telling enough. GDPR awareness might be mainstream, but it comes a tad too late to believe its practice is correspondingly widespread. Timing aside, putting GDPR to action proves confusing as the regulators provide little guidance in GDPR’s practical application. Among the most puzzled are small companies. GDPR dictates they bear the same responsibilities as governments or corporations, pressuring them to make do with less subject-matter knowledge and fewer budget for the lawyers to get their heads round the regulation.
This checklist summarises the principles behind GDPR from which each business can derive their data protection strategy. I should note that I am not a lawyer but a data security consultant: nevertheless it is my belief that abiding to these principles should guarantee that a business operates legally and securely.
Earlier this month I had a chance to speak with a Polish magazine Przegląd about today’s data economy, the marketing evolution over the last couple of decades: from database invention to machine learning, and how it all relates to Cambridge Analytica scandal from March. The article is available in Polish on Przegląd’s website (behind a paywall), loosely based on an article I previously published in English on the blog.
Summary: Protected by law (*when there is a law) | Many faces of PII | Here be dragons: data outside the PII realm
There is a silver lining in the Cambridge Analytica + Facebook scandal in that it started a debate about our privacy rights online. Our virtual house was invaded: the government came in and took our identities away. Putting aside the question whether it was us who invited the aggressor*, today we will examine the core of the scandal: the idea of identity on the web. What is it exactly that bugs us about this case? What is it that we are standing for by deleting Facebook? To channel our outrage, let’s review what constitutes personal data in the light of law, what slipped regulation, and if our online footprint should have us worried.
* Watch this Level1 podcast to know the answer