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Automating Safe Data Analytics for Financial Services

The advent of the data privacy era compounds the compliance and regulatory challenges that have held back many financial services institutions from executing data-driven strategies for growth and innovation. There is growing competitive pressure to better understand and respond to customer opportunities based on insights from data that enterprises process themselves, as well as from external data sources. However, global privacy compliance regulations, decentralized privacy governance and the risk inherent in sensitive data have resulted in cumbersome data management practices blocking the ability to use certain data in analytics workloads.

Automating privacy risk minimization strategies can enable financial institutions to realize the benefits of accelerating analytics usage and keeping costs in check through services from cloud providers like Amazon Web Services (AWS).

Join us for an in-depth look at how BigID and Privitar come together in AWS to:
– Streamline data discovery to identify all data that needs to be protected
– Apply a wide range of data privacy protections to that data to minimize risk
– Provide analytics applications with rich and safe data in the cloud to unlock value

With these capabilities, global financial organizations are ultimately empowered to accelerate their time to data in a safe and compliant manner.

Speakers:

Ilya Epshteyn, Principal Solutions Architect, AWS
Sebastien Cognet, Privacy Engineer, Privitar
Sachin Khungar, Senior Technical Architect, BigID
Recorded Jun 11 2020 62 mins
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Speakers from BigID, Privitar and Amazon Web Services
Presentation preview: Automating Safe Data Analytics for Financial Services
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  • Ask Me Anything series: Tokenisation Sep 24 2020 2:30 pm UTC 30 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?
  • Data Protection in the World of Facial Recognition Sep 10 2020 2:00 pm UTC 45 mins
    Guy Cohen, Head of Policy, Privitar; Maria Axente, Responsible AI Lead, PwC & Liz O'Sullivan, Technology Director, S.T.O.P
    Facial recognition is increasingly a central talking point in the global debate on digital surveillance and the right to privacy.

    Technological innovations are driving uptake, with systems being put in place to identify and track individuals as they move through public and private spaces. This can be invaluable for protecting the safety of the public, or increasing utility with equipment and spaces, but as with many emerging technologies, we also don’t yet fully understand the benefits and the risks presented by different use cases.

    This in-depth discussion will ask:

    - How developed is the global facial recognition landscape?
    - What are the risks and challenges with common use cases?
    - What protection do citizens have with respect to data privacy?
    - What is the role played by the regulators?
    - What does the next 5 years look like?

    This session will feature a broad range of facial recognition experts:

    - Marcus Grazette, Policy Lead, Privitar (Chair)
    - Maria Axente, Responsible AI Lead, PwC
    - Liz O’Sullivan, Technology Director, S.T.O.P

    This session is part of the In:Confidence+ discussion series, focused on the key issues at the heart of the technological ecosystem. Episode 1 was focused on Data Privacy in the Fight Against Covid-19 and the link is in this session’s attachments.
  • Ask Me Anything series: Data Redaction 101 Aug 20 2020 2:30 pm UTC 30 mins
    Nilesh Parmar, 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 data redaction: When should it be used? What are the cons and pros for different use cases?
  • Ask Me Anything Series: Pseudonymisation 101 Recorded: Aug 6 2020 26 mins
    Mark Semenenko, 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 pseudonymisation: When should it be used? What are the cons and pros for different use cases?
  • Accelerating Sensitive Data Access for Financial Services Recorded: Aug 5 2020 62 mins
    Sean Butler, Director of Product Marketing, Privitar & Steve Wright, Partner, Privacy Culture
    Financial service organizations have a wealth of sensitive data that enables them to create new products, drive improved customer experience, and manage risk across the enterprise. While this data is of great value, many companies have developed policies that dramatically slow time to data away or destroy its analytical utility in response to the ever-increasing threats, both internal and external.

    These policy decisions leave teams inside of these financial institutions that rely on sensitive data to do their job feeling unproductive and dissatisfied as they struggle to unlock the value they know is inside the data. Companies also struggle to open these policies up as data regulations like GDPR, and the CCPA continue to become more prominent.

    Learn how leading financial companies are automating key aspects of sensitive data management to accelerate time to data and broaden data access throughout their enterprise.

    Key Audience Takeaways:

    - Explore how policy-driven automation can accelerate the analysis of sensitive data

    - Learn how to build a scalable sensitive data management process

    - Understand how to effectively leverage this critical asset in a compliant manner
  • Accelerating Sensitive Data Access for Financial Services Recorded: Aug 5 2020 62 mins
    Sean Butler, Director of Product Marketing, Privitar & Steve Wright, Partner, Privacy Culture
    Financial service organizations have a wealth of sensitive data that enables them to create new products, drive improved customer experience, and manage risk across the enterprise. While this data is of great value, many companies have developed policies that dramatically slow time to data away or destroy its analytical utility in response to the ever-increasing threats, both internal and external.

    These policy decisions leave teams inside of these financial institutions that rely on sensitive data to do their job feeling unproductive and dissatisfied as they struggle to unlock the value they know is inside the data. Companies also struggle to open these policies up as data regulations like GDPR, and the CCPA continue to become more prominent.

    Learn how leading financial companies are automating key aspects of sensitive data management to accelerate time to data and broaden data access throughout their enterprise.

    Key Audience Takeaways:

    - Explore how policy-driven automation can accelerate the analysis of sensitive data

    - Learn how to build a scalable sensitive data management process

    - Understand how to effectively leverage this critical asset in a compliant manner
  • Privacy-By-Design: A Key Enabler, Not an Afterthought Recorded: Aug 4 2020 29 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.
  • The European Data Privacy Landscape in 2020 - revisited Recorded: Jul 29 2020 37 mins
    Marcus Grazette, Policy Lead - Europe
    As Europe juggles tackling Covid-19 and supporting economic recovery, we step back from the headlines to consider the evolving data protection landscape. Six months on from our last look at the horizon the European Commission has published their review of GDPR and taken proposals for AI regulation one step forward. Germany assumed the rotating European Council presidency, with plans for pan-European health data sharing. And Brexit rumbles on.

    Marcus Grazette, our Europe Policy Lead, delivers your essential ‘horizon scan’ covering these events from a privacy and data protection perspective.

    Join him for:

    - Insights into emerging themes and what they might mean for business
    - An in-depth look at European proposals for common data spaces
    - An update on AI regulation, including the ICO’s new explainability requirements
  • Covid-19: Contact Tracing, Data Privacy and Public Trust Recorded: Jul 22 2020 46 mins
    Guy Cohen, Head of Policy, Privitar & Andrew Dyson, Partner, DLA Piper
    As the world moves into the next phase of the fight against Covid-19, governments are loosening lockdown measures and assessing strategies intended to contain new spikes and control the rate of infection.

    Contact tracing has been touted as a potential game-changer, with several countries around the world releasing apps that alert those who have come into close proximity with someone who has tested positive for Covid-19. Yet in many cases uptake has been slow and there has also been significant debate on both user trust and the associated data privacy concerns.

    This in-depth interview will focus on:

    - The important role of data in the fight against Covid-19
    - A global view of contact tracing apps (their development, positives and negatives)
    - Underlying privacy concerns when utilizing healthcare data

    Join data protection experts from Privitar and DLA Piper as they give an overview of the world’s contact tracing landscape and discuss the role of privacy in the fightback against Covid-19.

    Speakers:

    - Guy Cohen, Head of Policy, Privitar
    - Andrew Dyson, Partner & Data Protection Expert, DLA Piper
  • Data, Innovation and Resilience in Financial Services Recorded: Jul 21 2020 43 mins
    Elliot Rose and Adam Stringer, PA Consulting & Paul Preuveneers, Privitar
    The regulatory landscape is shifting again. Your approach to using and safeguarding data - the lifeblood that supports the most important services you provide to customers and markets - will be fundamental to building a resilient organisation.

    In this webinar, PA Consulting and Privitar will outline how best practice and technology can enable your organisation to protect and manage the confidentiality, availability and integrity of data.

    Why participate?

    - Understand the context of new operational resilience regulations currently in consultation, and the key considerations for compliance
    - Learn what it takes to safeguard sensitive information
    - Discover use cases where innovations in data privacy create opportunities to gain greater value from data in a safe and secure environment
  • Powering Healthcare Informatics and Analytics with Safe Sensitive Data Recorded: Jul 16 2020 25 mins
    Sean Butler, Director of Product Marketing | Privitar
    As a healthcare organization, regardless if you are on the payer or provider side chances are you have collected a wealth of Personally Identifiable Information or PII around your patients and/or customers. The organizations that are able to provide the most effective and efficient care will be those that maximize the value of this data. In order to realize the incredible impact data can have it is critical you build privacy into your data provisioning process. This will allow you to provision this sensitive data quickly to teams who need access for any number of purposes, whether it is for research around a life-saving treatment or risk calculation across an insured population.

    Join this webinar to learn more about:
    How you can use de-identified data to optimize your patient experience, power more robust informatics, and assess risks.
    How best practices and emerging technologies are helping healthcare organizations drive patient and provider benefits.
    How to accelerate time to sensitive data analysis and usage while minimizing risk.
    How to transform data privacy from a challenge into an advantage
  • Managing Data Privacy in the Age of Digital Transformation Recorded: Jul 15 2020 53 mins
    Brian Herr, VP Product Marketing, Privitar and Bernard Swierczyna, CISO, First Ireland Risk Management
    As enterprises evolve to become data-driven organizations, they are transitioning from simply collecting and storing data to democratizing data use in order to drive better decision making organization-wide.

    The path to data-driven decision making is made complex by regulations that dictate when, where, and how data can be used by those that collect it. In order to simultaneously optimize data utility and privacy, organizations must contemplate a flexible service that can protect that data in a multitude of ways based on the usage context.

    As companies begin to identify what they need from their data it will quickly become clear that the ultimate solutions needs to provide safe access to data that drives better outcomes and also respects privacy regulations. In this webinar, we will discuss how this is made possible by utilizing the right data privacy platform.

    We will examine how to get the most out of your cloud, big data or data lake initiative by creating a Safe Data service that will allow your organization to safely utilize sensitive data to make better decisions at the speed of business.

    Key Takeaways:

    - Examine the data and ways in which companies are looking to leverage data today.

    - Review of regulations and their impact on how companies can use data

    - Data Privacy and Security solutions are both required to create a sensitive data strategy.

    - Best practices for creating a Safe Data Service inside your organization.
  • Limiter la durée du stockage des données sans en réduire la valeur Recorded: Jul 7 2020 43 mins
    Michaël Chouraki, Data Compliance Lead, Accenture France & Sébastien Cognet, Privacy Engineer, Privitar
    Les données sont au cœur de la transformation digitale des entreprises qui doivent respecter les diverses réglementations applicables aux données tout en optimisant leur utilisation pour accélérer l’innovation.

    Dans un contexte de globalisation des lois sur les données personnelles, la limitation de la durée du stockage des données (article 5), principe cœur du RGPD, pose un défi important aux entreprises en termes de maîtrise des coûts, de complexité, et de perte d’utilité et de valeur des données.

    Rejoignez le webinar organisé par Privitar et Accenture le 7 juillet 2020 pour partager notre retour d’expérience sur les meilleures pratiques et la technologie qui permettent de gérer ce principe de RGPD.

    Michaël Chouraki d’Accenture présentera les approches disponibles pour limiter la durée du stockage des données et Sébastien Cognet de Privitar décrira comment l’application automatisée des techniques de protection des données, en particulier les méthodes d’anonymisation, peuvent accélérer l'innovation tout en protégeant vos clients et votre réputation.

    Nous démontrerons que les méthodes de protection des données sont aussi essentielles pour répondre à l’article 5 que les technologies d’effacement des données, et qu’elles permettent aux entreprises de respecter les règles de conformité sans réduire la disponibilité ou la valeur des données à des fins d’analyse.

    Pourquoi participer?

    - Vous découvrirez pourquoi la diversité des types de données, des applications et des mesures disponibles a créé un défi complexe pour limiter la durée du stockage des données

    - Vous comprendrez la base réglementaire pour l’utilisation de l’anonymisation à la place de l’effacement des données pour se conformer à l’article 5 du GDPR

    - Vous apprendrez comment la technologie de protection des données facilite la mise en œuvre de l’article 5.
  • Build vs. Buy - Why Privitar? Recorded: Jul 3 2020 6 mins
    Kish Galappatti, Privitar Privacy Engineer
    As enterprises start to focus more on data privacy as a core part of
    their overall data strategy, the decision often comes down to building
    something in-house to meet the need to de-identify data or buy a
    vendor solution.

    This decision should be based on a number of factors
    that we discuss in this recording.
  • 4 Ways You Should Be Using Sensitive Customer Data for Growth Recorded: Jun 26 2020 50 mins
    Kish Galappatti and Pat Bates, Privitar Privacy Engineers
    As a financial services organization, chances are you have collected a wealth of personal data about your customers. The winners of the future will be the organizations that maximize the value of this data, and in order to do so it is critical they build privacy into their data provisioning process. This will allow them to serve data quickly across the enterprise while retaining analytical value.

    Join this webinar to learn more about:
    How you can use data to optimize your customer experience, update your product portfolio, and assess risks
    How best practices and emerging technologies are helping financial institutions drive commercial benefit
    How to accelerate time to sensitive data analysis and usage while minimizing risk
    How to transform data privacy from a challenge into a catalyst for business growth
  • Leveraging Sensitive Data with Confidence - AWS & Privitar Recorded: Jun 24 2020 25 mins
    Shashi Raina, Partner Solution Architect, AWS & Tom Kennedy, Director, Cloud and Technology Partnerships, Privitar
    As enterprises become increasingly data-driven, they transition from simply collecting and storing data to democratizing it and using it to enhance decision-making.

    With the realization that some of their most valuable data includes sensitive personal information, data leaders need a scalable data service enabling them to extract value without infringing on personal privacy.

    In this on-demand webinar, you will hear from AWS data and analytics experts, as well as AWS Advanced Technology Partner Privitar, as they discuss how your organization can extract greater value from data while preserving every individual’s right to privacy and achieving regulatory compliance.

    What will you learn?
    How to accelerate data provisioning for sensitive data across your enterprise while protecting the privacy of individuals
    Best practices for moving sensitive data to the cloud and extracting value from greater volumes of data with AWS advanced analytics & machine learning services
    What organizations achieve by using the Privitar Data Privacy Platform™ to leverage previously unavailable sensitive data for analytics
  • The US Data Privacy Landscape in 2020 Recorded: Jun 23 2020 57 mins
    Guy Cohen, Privitar Head of Policy
    2020 has already been a big year for data privacy in the US. With major changes and events at the state and federal level, the importance of data privacy continues to accelerate. Join Privitar's Head of Policy, Guy Cohen, to look at:

    - What's happening in California? California has been the instigator in the US's data privacy journey and 2020 saw the landmark CCPA come into effect, but much is still uncertain, from the Attorney General's draft regulations to the possibility of major changes in "CCPA 2.0".
    - What's going on in other states? In the absence of federal action many other states are considering their own laws. While some are similar to the CCPA, there are important differences that may create a patchwork of different requirements across the US.
    - What role will standards play? While disagreements block legislative action at the federal level, January saw NIST release their new Privacy Framework.
    - What can businesses learn from the events and trends of 2020 to help them prepare for 2021?
  • Le droit à l'oubli Recorded: Jun 22 2020 49 mins
    Marcus Grazette, Policy Lead - Europe & Christian Raza, Account Director, Privitar
    Conformément au RGPD, une personne a le droit d'obtenir du responsable du traitement l'effacement, dans les meilleurs délais, de données à caractère personnel la concernant. Souvent appelé “le droit à l’oubli” ou “right to be forgotten” (RtbF siglé en anglais), son traitement représente un grand défi pour les entreprises notamment dans un contexte “Big Data”.

    Dans ce webinar, Privitar vous expose les éléments clefs du RtbF et les bons réflexes à privilégier. En mettent en place une démarche globale de protection des données, les entreprises pourraient satisfaire l’exigence réglementaire par la de-identification et pas nécessairement l’effacement des données.

    Marcus Grazette, notre expert en politiques publiques européennes chez Privitar, vous expliquera:

    Qu’est ce que c’est le RtbF?

    Comment a-t-il changer suite à l'entrée en vigueure du RGPD?

    Quelles sont les lignes directrices des autorités de protection des données?

    Les entreprises, comment doivent-elles réagir?

    Notre conférencier
    Expert en politique publique et diplomé de l’ENA, Marcus a integré Privitar en 2019 après une carrière 10+ ans dans la diplomatie britannique (spécialisé en affaires européennes) et au cabinet du conseil Ernst & Young (EY). Chez Privitar, son travail porte sur le cadre réglementaire européen en matière de la protection des données.

    A propos du Privitar
    Pionnier mondial en privacy engineering (ingénierie de la confidentialité des données), Privitar s’engage à repousser les frontières pour permettre à ses clients d’accélérer l’innovation par les données et de se protéger contre les risques liés à la confidentialité.
  • Maximizing Analytics Initiatives with Sensitive Data Recorded: Jun 18 2020 26 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
  • How to Leverage Sensitive Data with Greater Confidence Recorded: Jun 18 2020 51 mins
    Smita Baliga, PwC and Brian Herr, Privitar
    Do regulatory risks create barriers to extracting value from rich but sensitive data?

    Do the complexities of compliance lead to lengthy data provisioning times?

    Hear from speakers from PwC and Privitar discussion how Financial Services firms can leverage sensitive data with greater confidence.

    We discuss:
    What are the data privacy compliance challenges particular to Financial Services firms?
    How should organizations plan to address complex compliance challenges?
    What is the role of technology in navigating compliance and getting greater value from sensitive data?
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.

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  • Live at: Jun 11 2020 3:00 pm
  • Presented by: Speakers from BigID, Privitar and Amazon Web Services
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