Hi [[ session.user.profile.firstName ]]

Datenschutz A-Z: Tokenisierung

Begleiten Sie unsere Datenschutz-Experten, die sich mit der Entmystifizierung einiger grundlegender, aber häufig falsch verstandener Elemente des Datenschutzes befassen. Zu jedem Thema geben wir einen kurzen Überblick, Beispiele für Anwendungsfälle aus der Praxis und wie Sie diese im Rahmen Ihrer Datenschutzbemühungen implementieren können. Darauf folgt eine kurze Fragerunde.

In dieser Sitzung werden wir die Tokenisierung untersuchen: Wann sollte sie verwendet werden? Was sind die Vor- und Nachteile für verschiedene Anwendungsfälle?
Recorded Nov 10 2020 35 mins
Your place is confirmed,
we'll send you email reminders
Presented by
Christian Herzog, Senior Sales Engineer DACH bei Privitar
Presentation preview: Datenschutz A-Z: Tokenisierung
  • Channel
  • Channel profile
  • Digital Transformation: The Driver of Post-Pandemic Economic Recovery Dec 3 2020 5:00 pm UTC 27 mins
    Ruby Zefo, Chief Privacy Officer, Uber & Edward Luce, US Financial Editor, Financial Times
    The amount of data generated globally has been growing at a furious pace, and it has only been compounded by COVID-19 and the shift to digital interactions. Businesses know that there’s tremendous value in using and exchanging data, and gathering information is fast, easy, and unexpectedly inexpensive. While the pandemic has undoubtedly caused significant business disruption, can the vast volume of data being collected help them to recover economically? In this session, we’ll explore how the winners of tomorrow’s business world will be those that embrace digital transformation. Join us to discuss:

    How important will it be for businesses to digitalise in the wake of COVID-driven economic uncertainty?

    Whether a global data privacy readiness program can improve business outcomes?

    What's next in the customer experience, and how can responsible use of sensitive data drive business innovation that works?
  • The Journey to Becoming a Data-Driven, Privacy-First Bank Dec 3 2020 4:00 pm UTC 30 mins
    Marcel Kramer, Head of Data Engineering, ABN AMRO & Sean Butler, Director of Product Marketing, Privitar
    As financial institutions seek to leverage data for competitive advantage, there is a growing regulatory and reputational risk that calls for the protection of sensitive data. Much of the data held by these institutions is too sensitive to release for general use, since it contains financial and personal information related to customers. To make data available for analysis, it is essential to minimise identifiable information and limit access appropriately. To become data-driven as well, the bank must analyse and innovate rapidly.

    Join this session to learn:

    - What actionable steps can you take to harness data-driven innovation.
    - How you can build data privacy best practices into everything that your bank does.
    - How to build a technology stack that enables you to scale and grow your bank by maximising the safe use of sensitive data.
  • Datenschutz A-Z - Pertubierung: Manchmal ist weniger besser Dec 1 2020 1:00 pm UTC 45 mins
    Christian Herzog, Senior Sales Engineer DACH bei Privitar
    Begleiten Sie unsere Datenschutz-Experten, die sich mit der Entmystifizierung einiger grundlegender, aber häufig falsch verstandener Elemente des Datenschutzes befassen. Zu jedem Thema geben wir einen kurzen Überblick, Beispiele für Anwendungsfälle aus der Praxis und wie Sie diese im Rahmen Ihrer Datenschutzbemühungen implementieren können. Darauf folgt eine kurze Fragerunde.

    In dieser Sitzung werden wir die Perturbierung untersuchen: Wann sollte sie verwendet werden? Was sind die Vor- und Nachteile für verschiedene Anwendungsfälle?
  • The Journey to Becoming a Data-Driven, Privacy-First Bank Recorded: Nov 25 2020 30 mins
    Sean Butler, Director of Product Marketing, Privitar, & Marcel Kramer, Head of Data Engineering, ABN Amro
    As financial institutions seek to leverage data for competitive advantage, there is a growing regulatory and reputational risk that calls for the protection of sensitive data. Much of the data held by these institutions is too sensitive to release for general use, since it contains financial and personal information related to customers. To make data available for analysis, it is essential to minimise identifiable information and limit access appropriately. To become data-driven as well, the bank must analyse and innovate rapidly.

    Join this session to learn:

    - What actionable steps can you take to harness data-driven innovation.
    - How you can build data privacy best practices into everything that your bank does.
    - How to build a technology stack that enables you to scale and grow your bank by maximising the safe use of sensitive data.
  • How Will Insurers Unlock The Full Potential of Big Data? Recorded: Nov 24 2020 60 mins
    Monique Hesseling, Managing Director of Insurance at Cloudera, and Steve Totman, Chief Product Officer at Privitar
    Leveraging data to know, understand and serve customers with lifestyle-based coverages and the right financial products for peace of mind is an area of great opportunity for insurance companies.

    Seen another way, insurers now feel pressure more than ever to provide growing data science functions and hungry analytics teams with access to an increasing number of datasets, at the right time.

    Insurers have long struggled to break silos, and data use is also increasingly impeded by the data privacy policies and procedures that organizations created to minimize financial and reputational risk. They are constantly balancing data’s dual status as an asset and liability.

    Join our fireside chat to hear Monique Hesseling, Cloudera’s Managing Director of Insurance, and Steve Totman, Chief Product Officer at Privitar, discuss the opportunity and the challenges in front of insurance companies that want to realize maximum value from their data.

    Monique and Steve will offer insights on how to meet the growing demand for data, democratize data access, and navigate data privacy obligations to open up new uses for data.
  • Digital Transformation: The Driver of Post-Pandemic Economic Recovery with Uber Recorded: Nov 11 2020 27 mins
    Jason du Preez, CEO, Privitar, Edward Luce, US Financial Editor, Financial Times, & Ruby Zefo, Chief Privacy Officer, Uber
    The amount of data generated globally has been growing at a furious pace, and it has only been compounded by COVID-19 and the shift to digital interactions. Businesses know that there’s tremendous value in using and exchanging data, and gathering information is fast, easy, and unexpectedly inexpensive. While the pandemic has undoubtedly caused significant business disruption, can the vast volume of data being collected help them to recover economically?

    In this session, we’ll explore how the winners of tomorrow’s business world will be those that embrace digital transformation. Join us to discuss:

    - How important will it be for businesses to digitalise in the wake of COVID-driven economic uncertainty?
    - Whether a global data privacy readiness program can improve business outcomes?
    - What's next in the customer experience, and how can responsible use of sensitive data drive business innovation that works?
  • Datenschutz A-Z: Tokenisierung Recorded: Nov 10 2020 35 mins
    Christian Herzog, Senior Sales Engineer DACH bei Privitar
    Begleiten Sie unsere Datenschutz-Experten, die sich mit der Entmystifizierung einiger grundlegender, aber häufig falsch verstandener Elemente des Datenschutzes befassen. Zu jedem Thema geben wir einen kurzen Überblick, Beispiele für Anwendungsfälle aus der Praxis und wie Sie diese im Rahmen Ihrer Datenschutzbemühungen implementieren können. Darauf folgt eine kurze Fragerunde.

    In dieser Sitzung werden wir die Tokenisierung untersuchen: Wann sollte sie verwendet werden? Was sind die Vor- und Nachteile für verschiedene Anwendungsfälle?
  • Privacy-by-Design for the Insurance Sector Recorded: Nov 3 2020 62 mins
    Privitar Privacy Engineer, Kish Galappatti and AON Insurance Data Protection Officer, Rodrigo Fronseca
    Insurance is a heavily regulated sector that deals with large amounts of sensitive customer information as a core component of the business. As the industry evolves, being driven by data analytics is key to gaining a competitive edge. Data democratization, of course, comes with privacy challenges.
    Watch as Privitar Privacy Engineer, Kish Galappatti and AON Insurance Data Protection Officer, Rodrigo Fronseca, discuss how to use data privacy to drive innovation by building automated data pipelines that are privacy-enabled, by design.
    You’ll learn how to:
    Enable your data science teams to quickly find, classify and access safe data that delivers analytical value while preserving the privacy of your customers
    Leverage modern analytical environments and techniques to generate insights based on AI/ML models·
    Automate the distribution and management of safe data sets within your organization to enable data analytics at scale
  • Safely Unleash the Value of your Data in the Cloud Recorded: Nov 3 2020 53 mins
    Tom Kennedy, Director of Cloud & Technology Partnerships, Olu Odeniyi, Cyber Security & Digital Transformation Advisor
    Organizations are leveraging the Cloud to maximise the value of data, consolidating it in data lakes and committing to analytics and machine learning initiatives to convert it into actionable insights.

    As analysts and data scientists have started working with these tools it has become clear that to provide accurate insights, they require rich datasets that frequently contain sensitive and personal information. Access to this data is often restricted as regulations and corporate policies make providing access more difficult, leaving its value unrealized Other traditional data protection approaches aren’t compatible with advanced analytics and machine learning, meaning many organisations aren’t getting maximum utility from their data.

    Register for this session to understand:

    - Why organisations are taking data privacy seriously as a business issue.
    - The best way to protect sensitive data in order to get maximum utility.
    - How this approach is a critical enabler for digital transformation and cloud strategies.
  • Datenschutz A-Z: Von Redaction bis De-Identifizierung Recorded: Nov 2 2020 40 mins
    Christian Herzog, Senior Sales Engineer DACH bei Privitar
    Technische Verfahren im Datenschutz

    Im Umfeld von COVID-19 rückt auch das Thema Datenschutz immer mehr in den Vordergrund. Die technischen Möglichkeiten zum Schutz der Privatsphäre sind vielfältig und dürfen nicht nur aus dem Blickwinkel der Datensicherheit (Security) betrachtet werden. Darum starten wir unsere Webinarserie "Datenschutz A-Z" mit einem Überblick über gängige Methoden, die wir in den nächsten Episoden im Detail betrachten.

    Erfahren Sie:

    - was es mit Tokens, K-Anonymity und L-Diversity auf sich hat
    - warum Datensicherheit (Security) nur ein Teil des Schutzes unserer Privatsphäre sein kann
    - und warum De-Identifizierung so viel mehr ist als bloße Anonymisierung
  • Building the Fastest and Safest Paths to Data Recorded: Oct 29 2020 35 mins
    Andrew Hinde & Cyril Amsellem, Privitar, & Martin Cerantonio, Collibra
    Today’s leading businesses succeed by reaching valuable insights, faster, from broader sets of data, to improve the quality of business decisions. They need to overcome any obstacles that delay access to data, but global compliance regulations and the risk of misusing sensitive data are increasingly difficult challenges to navigate.

    Organisations need to manage privacy risk systematically to reduce friction in the data pipeline and enable ease of access to data whenever their users need it.

    Collibra’s enterprise-wide, governed data catalog and data intelligence capabilities together with Privitar’s comprehensive de-identification and policy management enables data-driven enterprises to accelerate access to safe, usable data for diverse analytical use cases.

    Join us on 29th October to learn how our streamlined integration of data intelligence and de-identification delivers the ability to connect data users with accurate, consistent and high-resolution de-identified datasets.

    In this webinar you will learn:

    - How enterprise-scale organisations can accelerate access to protected data and eliminate slow, manual processes
    - Best practises to curate and protect your organisation’s data and expose more data to a wider range of approved users
    - How to provide data users with data optimised for analytical utility but low in risk
  • Datenschutz A-Z: Von Redaction bis De-Identifizierung Recorded: Oct 27 2020 36 mins
    Christian Herzog, Senior Sales Engineer DACH bei Privitar
    Technische Verfahren im Datenschutz

    Im Umfeld von COVID-19 rückt auch das Thema Datenschutz immer mehr in den Vordergrund. Die technischen Möglichkeiten zum Schutz der Privatsphäre sind vielfältig und dürfen nicht nur aus dem Blickwinkel der Datensicherheit (Security) betrachtet werden. Darum starten wir unsere Webinarserie "Datenschutz A-Z" mit einem Überblick über gängige Methoden, die wir in den nächsten Episoden im Detail betrachten.

    Erfahren Sie:

    - was es mit Tokens, K-Anonymity und L-Diversity auf sich hat
    - warum Datensicherheit (Security) nur ein Teil des Schutzes unserer Privatsphäre sein kann
    - und warum De-Identifizierung so viel mehr ist als bloße Anonymisierung
  • Accelerating safe data provisioning for Analytics and Machine Learning Recorded: Oct 20 2020 66 mins
    Steve Totman, Privitar, Andy Steed, Big Data LDN, Mike Ferguson, Intelligent Business Strategies
    How do you safely shorten time to value? The pressure is on - growing data science functions and hungry analytics teams driven by business pressure need access to an increasing number of datasets rapidly. It’s a constant balance of data’s dual status as an asset and liability. In this session we’ll explain how you can safely deliver protected data that retains analytical utility to your consumers.
  • Ist Data Privacy der große Verhinderer für Analytics? Recorded: Oct 7 2020 46 mins
    Timm Grosser, Senior Analyst für Datenmanagement, BARC GmbH
    Business Analysten & Datenexperten fragen mehr und mehr Daten nach, um Analytics im Unternehmen zu fördern. Die Verfügbarkeit von Daten ist dafür elementar. Allerdings ist der Datenzugriff technisch wie auch inhaltlich meist alles andere als trivial. Auf der einen Seite erschweren verteilte Datenlandschaften mit zahlreichen Datensilos die Integration der Daten. Auf der anderen Seite können Daten sensible Inhalte beinhalten. Sie sind nicht für jedermann bestimmt und müssen entsprechend geschützt werden. Die Nutzung von Cloud-Umgebungen oder die Verwendung der Daten für Analysen wird zum Problem. Der Vortrag zeigt Problemszenarien auf und beleuchtet, wie Daten genutzt werden können, ohne auf den Datenschutz zu verzichten.
  • Automatisation de l'analyse des données sécurisées avec Privitar et BigID Recorded: Oct 1 2020 45 mins
    Sebastien Cognet, Privitar and Jean-Michel Kaçmann, BigID
    L'avènement de l'ère de la confidentialité des données amplifie les contraintes liées à la conformité et à la réglementation. Ce phénomène empêche à de nombreuses organisations de mettre en œuvre des stratégies de croissance et d'innovation fondées sur les données. La pression concurrentielle étant de plus en plus forte, pour mieux comprendre les attentes des clients et y répondre, il est nécessaire de s'appuyer sur les données des entreprises ainsi que celles des sources externes.

    Les réglementations relatives à la gouvernance et au respect de la vie privée ainsi que le risque inhérent aux données sensibles entraînent des pratiques de gestion des données lourdes qui bloquent les projets.

    L'automatisation des stratégies de réduction des risques liés à la protection des données peut permettre aux entreprises de tirer avantage de la flexibilité technique et financière des offres de services « cloud » comme Amazon Web Services (AWS), Google (GCP) ou Microsoft Azure pour accélérer l’innovation par les données.

    Rejoignez nous pour découvrir comment BigID et Privitar s'associent pour:

    - Rationaliser la découverte des données afin d'identifier toutes celles qui doivent être protégées
    - Appliquer à ces données à caractère personnelle un large éventail de règles pour assurer leur protection afin de minimiser les risques
    - Fournir aux applications d'analyse, des données dans le « Cloud » riches, sûres et pleinement exploitables.

    Grâce à ces nouvelles possibilités, les entreprises seront en mesure de d'accélérer leur initiative data-driven dans une économie toujours plus digitaler.
  • Maximizing Analytics Initiatives with Sensitive Data Recorded: Sep 29 2020 25 mins
    Sean Butler, Director of Product Marketing | Privitar
    Leading organizations are looking to optimize how they leverage one of their most valuable assets, their data. A key component of maximizing the value of any organization’s data is ensuring that they can provide access and allow requests for the use of sensitive and personal data. As enterprises leverage data to power initiatives like analytics, improving customer experience, new product development, and the move to the cloud it is critical they contemplate how to protect sensitive data.

    Join this engaging session as we discuss how to implement a sensitive data management strategy to:
    -Accelerate time to sensitive data access while maintaining privacy
    -Increase the scope of data that can be used as well as who it can be used by
    -Optimize the value of analytical tools maintaining organizational and regulatory compliance
  • Maximizing Analytics Initiatives with Sensitive Data Recorded: Sep 29 2020 25 mins
    Sean Butler, Director of Product Marketing | Privitar
    Leading organizations are looking to optimize how they leverage one of their most valuable assets, their data. A key component of maximizing the value of any organization’s data is ensuring that they can provide access and allow requests for the use of sensitive and personal data. As enterprises leverage data to power initiatives like analytics, improving customer experience, new product development, and the move to the cloud it is critical they contemplate how to protect sensitive data.

    Join this engaging session as we discuss how to implement a sensitive data management strategy to:
    -Accelerate time to sensitive data access while maintaining privacy
    -Increase the scope of data that can be used as well as who it can be used by
    -Optimize the value of analytical tools maintaining organizational and regulatory compliance
  • Ask Me Anything series: Tokenisation Recorded: Sep 24 2020 17 mins
    Andrew Klitovchenko, Sales Engineer, Privitar
    Join our privacy expert in this series of webinars focused on demystifying some foundational, but often mis-understood, elements of data privacy. For each topic, we’ll give a brief overview, real-life use case examples, and how you can implement it as part of your data privacy efforts. This will be followed by a short Q&A session.

    This session we’ll explore tokenisation: When should it be used? What are the cons and pros for different use cases?
  • Privacy-By-Design: A Key Enabler, Not an Afterthought Recorded: Sep 22 2020 28 mins
    Pat Bates, Privitar Privacy Engineer
    Data privacy and security are fundamental safeguards that enable enterprises to better leverage and optimize the value derived from their growing data assets. But too often the protection of data is viewed and implemented as an isolated technology step in the data pipeline.

    This session will explore how the enterprises that most successfully turn data sets into profit-driving assets view data privacy as intrinsic to the data lifecycle and take a policy-driven approach that encompasses the entire data management organization.
  • Privacy-By-Design: A Key Enabler, Not an Afterthought Recorded: Sep 22 2020 28 mins
    Pat Bates, Privitar Privacy Engineer
    Data privacy and security are fundamental safeguards that enable enterprises to better leverage and optimize the value derived from their growing data assets. But too often the protection of data is viewed and implemented as an isolated technology step in the data pipeline.

    This session will explore how the enterprises that most successfully turn data sets into profit-driving assets view data privacy as intrinsic to the data lifecycle and take a policy-driven approach that encompasses the entire data management organization.
Leverage data with an uncompromising approach to privacy
The world is waking up to privacy risk and privacy harms. There is a clear realisation that unless we incorporate privacy into every aspect of the data supply chain we run the risk of impeding innovation and exposing customers to harm.

Privitar’s mission is to promote and facilitate the ethical and safe use of valuable data assets. Using leading privacy engineering techniques, we help companies get maximum value from data while preserving customer’s privacy.

Embed in website or blog

Successfully added emails: 0
Remove all
  • Title: Datenschutz A-Z: Tokenisierung
  • Live at: Nov 10 2020 1:00 pm
  • Presented by: Christian Herzog, Senior Sales Engineer DACH bei Privitar
  • From:
Your email has been sent.
or close