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Generative AI, Confidential Computing, and Post-Quantum Cryptography, Among Interesting Topics at Google Cloud NEXT

Thales Cloud Protection & Licensing

With AI implementations, cybersecurity attacks can occur at different states of the AI pipeline including data collection, model creation and training, and at inference. Sensitive workloads can include personal identifiable information (PII) data, AI models, trade secrets, and/or intellectual property.

Cloud 62
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Navigating GDPR Compliance with CIAM: A Quick Guide

Thales Cloud Protection & Licensing

The GDPR's new requirements necessitated a fundamental overhaul of CIAM approaches, a relevance that persists today: Key GDPR principles reshaping CIAM Explicit Consent : Before collecting data, businesses should obtain clear and affirmative consent from users.

GDPR 62
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GUEST ESSAY: Threat hunters adapt personas, leverage AI to gather intel in the Dark Web

The Last Watchdog

It extends beyond the Deep & Dark Web to: unindexed Web forums, messaging boards, and marketplaces, encrypted messaging systems, and code repositories. Data collections released after ransomware attacks. There are many facets to what I’ll call “The Underground.” Databases with critical IP and/or PII.

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Data privacy examples

IBM Big Data Hub

The user can accept or reject each use of their data individually. For example, they can decline to have their data shared with third parties while allowing the app to generate personalized offers. The app heavily encrypts all user financial data. Only administrators can access customer data on the backend.

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Critical Success Factors to Widespread Deployment of IoT

Thales Cloud Protection & Licensing

There are three major threat vectors that harm IoT deployments: Devices are hijacked by malicious software; Data collected and processed in IoT ecosystems is tampered with and impacts the confidentiality, integrity and availability of the information; and, Weak user and device authentication. Encryption. Data security.

IoT 96
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Data protection strategy: Key components and best practices

IBM Big Data Hub

Data encryption Data encryption involves converting data from its original, readable form (plaintext) into an encoded version (ciphertext) using encryption algorithms. Encryption is critical to data security.

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FRANCE: The CNIL provides further insights following its formal notices against the use of Google Analytics

DLA Piper Privacy Matters

The setup of Google Analytics does not prevent the transfer of personal data outside the EU since all personal data collected via Google Analytics is hosted in the US. Proxyfication and alternative solutions proposed by the CNIL but with stringent conditions.