All articles by PrivSec Global – Page 8
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The 2020 Presidential Election and the Prospects for Change
The US presidential election will be the most contentious and era-defining of the modern age – whoever wins, the implications across government policy will be profound and privacy and security are no exceptions.
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Schrems II and Beyond: the Future of Data Transfers
The case brought by activist lawyer Max Schrems to the European Court of Justice has shaken up the foundation for the legal transfer of data between the EU and US with global ramifications.
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Artificial Intelligence Data Privacy & Cyber Security Assurance
The region’s economic growth and technical innovation over the last two decades has resonated through almost all industries but what will the coming years bring in terms of APAC’s influence over AI, privacy and security?
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The Deployment of AI, ML and Emerging Technologies in Cyber Defence and Attack
The deployment of new and cutting-edge technologies like Machine Learning and Artificial Intelligence can help security specialists to analyse and correlate data to identify patterns, scan various risks, gain predictive insights and forecast potential breaches.
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Data Protection and Security in the Cloud
As the cloud environment continues to develop and new mechanisms are introduced which affect organisations’ strategies, opportunities and risks grow in complexity.
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Harmonisation of Data Protection Regulations Across the Region
Harmonisation of regulation across the major APAC economies continues to be a major theme of 2020 and 2021
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Data Discovery as a Platform
Learn how AI boosts data discovery to manage data governance, data privacy and data protection with simplicity in one platform
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To Trust, or Not to Trust the Cloud That is Your Compliance and Risk Question
Many organizations struggle with digital transformation and cloud computing, particularly when implementing a framework to meet their compliance requirements.
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Edgar Perez in Conversation
One of the world’s foremost experts on how organisations can harness bleeding edge technologies to give themselves competitive edge, Edgar Perez will share his insights into how the world’s leading companies are changing their business models to leverage technical change.
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Staying Competitive while Maintaining Global Regulatory Compliance
From managing risk to creating edge: how data protection practitioners are helped to build competitive advantage for their organisations.
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Disposing of Data Securely & Completely in a Post-Covid World
Drawing on industry research, best practices and case studies, we’ll explore why enterprises must address end-of-life data more efficiently and precisely than ever before.
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Building a Risk Management Framework for the Future
Managing risk is at the heart of any data protection programme and building a strategy which can navigate changes in market and business strategy is crucial.
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Identifying Risky Vendors: 7 Warning Signs You Shouldn’t Ignore
For individuals managing third-party risk, there is one primary question that needs answering: Are your vendors safe to do business with?
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Using Security as a Tool to Build Competitive Edge
Security functions in some leading organisations are beginning to move beyond just their role as defence mechanism and are defining the role they can play in contributing to the overall strategic vision.
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Financial Data and the Ethical Issues of Technical Innovation
Financials services is one of the most innovative sectors in they way organisations source and use information and this creates multiple challenges for data protection professionals - this panel discusses the practical issues in creating an ethical strategy.
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Embedding Security and Risk Management into Your Organisation
Cyber security plays a critical role in helping digital businesses to flourish.
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Best practice advice on data sharing requests policy
The regulatory regimes across the Middle East and North Africa are going through a stage of rapid development and alignment, creating challenges for companies doing business across the region.
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Why It’s Time to Rethink Your Approach to Data Classification
How can enterprises know their data in a fragmented data landscape of diverse data formats, schemas, content, and metadata types? Why haven’t we solved the classification conundrum - and how can security and privacy teams lead the charge for next-generation classification?