We need to talk about Apple’s surveillance empire

Apple has taken a public stand on privacy, curtailing data abuses by apps and declaring it doesn’t exploit its users’ information. But it has also created comprehensive new ways to track us

Among tech giants, Apple stands out for its insistence on offering privacy features instead of joining its competitors in the exploitation of users’ personal data. Apple CEO Tim Cook recently clashed with Facebook on exactly those grounds – making a point, during a podcast interview, of defending privacy over the social network’s data-hungry ad-based model. When it comes to privacy, the maker of the iPhone is presenting itself as a good actor. But is that actually the case?

Apple recently rolled out a smorgasbord of new security features: Apple devices now block tracking pixels embedded in emails, tell users how many times an app has accessed sensitive data, utilise a relay to mask web traffic, and allow for the creation of unique email aliases. All of these are praiseworthy tools – long overdue – to protect our privacy.

What’s more, judging by its success as the world’s biggest company by market capitalisation, Apple is demonstrating that privacy can sell. About 94 per cent of American users opted out of data collection when Apple gave them the choice. Given its reach and clout, Apple has been able to do more for privacy in one software update than what most governments around the world have done in years (although it seems that some apps are still tracking non-consenting users). With a single decision, Apple can improve privacy standards globally. But, before we give it too much credit, we should take a critical look at the company’s general direction of travel.

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Mots-clés : cybersécurité, sécurité informatique, protection des données, menaces cybernétiques, veille cyber, analyse de vulnérabilités, sécurité des réseaux, cyberattaques, conformité RGPD, NIS2, DORA, PCIDSS, DEVSECOPS, eSANTE, intelligence artificielle, IA en cybersécurité, apprentissage automatique, deep learning, algorithmes de sécurité, détection des anomalies, systèmes intelligents, automatisation de la sécurité, IA pour la prévention des cyberattaques.

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