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AI in the Auto Industry Is About More Than Self-Driving Cars
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With the growing adoption of cloud computing, Big Data or open APIs, managing, securing and sharing massive amounts of digital data across heterogeneous and increasingly interconnected infrastructures is becoming increasingly difficult. From file servers to relational databases and big data frameworks, to the Internet of Things and entire API ecosystems – each data model imposes its own security controls and separate technology stack for enforcing them. An alternative approach – data-centric security – is in fact nothing new and quite simple in theory: instead of managing access to each individual infrastructure, just focus on protecting the data itself, regardless of its type and location. However, practical implementations of this concept depend heavily on two things: standards and policies. A solution that manages to successfully implement them in a unified, flexible and open manner, could surely be able to bring data security to a new level.
Language: English • Duration: 01:01:46 • Resolution: 1280x720
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OT Discovery & Monitoring
Blockchain & Distributed Ledgers
Privacy Enhancement Technology
Real Time Security Monitoring & Intelligence
Privileged Access Management
Privacy and Consent Management
Artificial Intelligence and Machine Learning