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Privitar

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  • Innovation in the age of data privacy
    Innovation in the age of data privacy
    Jason McFall, CTO, Privitar Recorded: Jan 28 2019 18 mins
    (Data Privacy Day 2019)

    Data is changing the world. We are faced with incredible opportunities to use data for good, but it has to be done in the right way, with respect for the customer.

    The risks of not protecting customer privacy are significant. Get data privacy wrong and your customers will quickly turn on you and you will face significant regulatory fines.

    This session will focus on how to innovate with data in the age of privacy,
    Tune in live for the following insights:

    - The risks of not protecting data privacy

    - How privacy can be an enabler for data-driven decision making

    - Steps to improve your data privacy stance

    Jason will also explore the results of the Privitar Privacy Pulse 2018 - an extensive survey of business and consumer attitudes towards data privacy.
  • Data de-identification 101: Strategy, techniques and considerations
    Data de-identification 101: Strategy, techniques and considerations
    Guy Cohen, Strategy & Policy Lead, Privitar Recorded: Jan 28 2019 30 mins
    (Data Privacy Day 2019)

    Every industry is undergoing a data driven revolution. The use of data is making companies innovate faster, make better informed business decisions, find efficiencies, and understand what their users want and how to deliver it for them.

    Often the data used is sensitive and personal, so a by-product of this greater use of data has been a growth in the risk to individuals’ privacy. Individuals and regulators are increasingly concerned and have started demanding better protection of individuals’ data. De-identifying data can reduce the privacy risk associated with processing it, whilst preserving much of the data’s utility, but effectively doing so can be a complex process and one of uncertainty for many organisations.

    This interactive session will explore some of the key considerations and best practices organisations should employ when looking to de-identify personal data.

    By attending this session, you’ll learn:

    -The key terms and concepts within data de-identification

    -Why it’s advisable to de-identify data

    -Key techniques to apply

    -How to manage de-identified data
  • Privacy Insights Report 2018: Four lessons for business
    Privacy Insights Report 2018: Four lessons for business
    Nikki Stones, Privitar; Louise Turner, Edelman; Alexandra Deschamps-Sonsino, Author and Jeni Tennison, The ODI Recorded: Dec 6 2018 43 mins
    - Privitar Privacy Pulse 2018 -

    Privacy matters to your customers. 9 out of 10 consumers believe that technological advancements pose a risk to their data privacy – but 64% of businesses believe that they could miss out on a competitive edge by not making the most of their data. How can you reconcile the two?

    This session will unveil the results of a wide-ranging data privacy survey, during which we asked 5,000 consumers and 1,500 B2B leaders across the UK, US and France for their thoughts on data privacy and data protection. The webinar will feature experts from industry, policy and academia discussing the issues raised by the results, and their implications for your business.

    Gain a deeper understanding of consumer and corporate attitudes to privacy and enjoy our expert’s view on the implications for business as we discuss:

    - The missed opportunity of data utilisation

    - Erosion of trust through misuse of data

    - Demand for business prioritisation of data protection

    - Communicating the value exchange

    This will also be the chance to ask a panel of industry-leading professionals your data privacy questions, so please do register now to join the conversation. The key learnings from the report will also be available as a ready-to-download attachment for you to access and share.

    Speakers include:

    - Nikki Stones, Head of Marketing, Privitar

    - Jeni Tennison, CEO, The Open Data Institute

    - Louise Turner, Managing Director, Edelman Intelligence UK & Ireland

    - Alexandra Deschamps-Sonsino, Author, Smarter Homes: How Technology will Change Your Home Life
  • The Power of Advanced Analytics in Healthcare Informatics
    The Power of Advanced Analytics in Healthcare Informatics
    Sam Shah, Director for Digital Development, NHS & Des Shanahan, Account Director, Healthcare, Privitar Recorded: Nov 27 2018 44 mins
    There is significant digital transformation going on across the healthcare sector, driven by exciting new technological developments including machine learning and advanced analytics.

    Healthcare providers are looking to use data science to dramatically improve clinical outcomes and create operational efficiencies across the healthcare system, however making data available for this purpose is challenging given the sensitive nature of the information.

    Join this session to understand:

    - The significant value of healthcare data and ways it can be put to effective use.

    - The challenges involved with handling sensitive patient data

    - The mechanisms can you put in place to protect sensitive patient data and unlock its value.

    Join this interactive session to understand how healthcare data can be used and the privacy controls that you need to put in place to ensure it's sufficiently protected.

    Featuring:

    - Sam Shah, Director for Digital Development, NHS England
    - Des Shanahan, Senior Account Director, Privitar
  • Advanced Data Privacy: Attacks & Defences
    Advanced Data Privacy: Attacks & Defences
    Theresa Stadler, Data Scientist, Privitar Recorded: Oct 23 2018 24 mins
    Sensitive information about individuals can be recovered from different types of data releases, including aggregate statistics or machine learning models. This session will address the privacy risks in publishing analysis results and introduce data privacy techniques to defend against them.

    Theresa Stadler, Data Scientist at Privitar, will explain differencing and reconstruction attacks on simple summary statistics such as count tables, along with discussing the privacy risks of supervised machine learning.

    Some of the takeaways of the session include:

    - Reasons to be concerned about the privacy of training data

    - The attacks on machine learning models that can occur and what private information about individuals in the training data can be recovered

    - A simple example of a black-box privacy attack on a classifier, a common machine learning model


    - An introduction to the differential privacy framework that functions as a privacy-enhancing technology to defend against the attacks introduced
  • Unlocking the value of sensitive data across the enterprise
    Unlocking the value of sensitive data across the enterprise
    Mark Semenenko, Privitar; Barry Green, Bank of Ireland & Olivier Penel, SAS Recorded: Oct 16 2018 50 mins
    Many organisations are stripping themselves of the power to put their own data to use, thanks to legacy systems, complicated internal processes and privacy concerns.

    This interactive panel session will cover how to unlock the value of your sensitive data, to ensure that it's being used effectively and efficiently across the enterprise.

    Panelists:

    - Barry Green, Former Bank of Ireland & HSBC CDO
    - Olivier Penel, EMEA Data Management Business Director
    - Mark Semenenko, Sales Engineering, Privitar
  • Solution de data privacy dans un contexte GDPR
    Solution de data privacy dans un contexte GDPR
    Carine Lecadre Perrier, Head of Compliance, Partech avec Sebastien Cognet & Leonardo L’ecaros, Privitar Recorded: Sep 26 2018 49 mins
    Comment renforcer la confidentialité des données dans un contexte de risque et de nouvelles obligations?

    Privitar est une plateforme logicielle centrale de gouvernance de la confidentialité des données permettant non seulement de répondre à certains enjeux de la GDPR mais également d’avoir une approche fonctionnelle de “Privacy by Design” sur des cas d’usage précis. La plateforme Publisher vous permet de livrer à la demande ou en streaming des jeux de données anonymisées par des techniques de masquage, de perturbation ou de généralisation tout en conservant l’intégrité de vos données sensibles. Il est également possible d’insérer des filigranes invisibles afin d’auditer l’origine d’une donnée en cas de fuite de fichier et ainsi de protéger votre e-réputation. Ce webinar soulignera en premier lieu les obligations du contexte GDPR pour ensuite se concentrer sur l’illustration concrète de deux clients. Il s’achèvera par une démonstration de la solution. Il est important de noter que nos solutions s’insèrent dans vos environnements Big Data et facilitent ainsi le développement de processus analytiques sans compromettre la valeur des données et en respectant la confidentialité due à vos clients et utilisateurs.

    Les speakers:

    Carine Lecadre Perrier | Head of Compliance @Partech
    Sébastien Cognet | Responsable Avant-Vente Europe du Sud @Privitar
    Leonardo L’ecaros | Responsable Commercial Europe du Sud @Privitar
  • Privacy 101: Basic Overview and Tips for Organizations
    Privacy 101: Basic Overview and Tips for Organizations
    Elena Elkina (Aleada Consulting) | Bret Fund (SecureSet) | Dr. Pierre-Andre Maugis (Privitar) Recorded: Sep 13 2018 62 mins
    This webinar is part of BrightTALK's Privacy Insights Series.

    Join privacy and cyber security experts for an interactive discussion on:
    - What is Privacy and why should you care
    - Why all of a sudden everyone cares about Privacy
    - User/Customer expectations and reality
    - Data breaches prevention and notification
    - Crafting your Privacy Policy
    - Best recommendations for organizations

    Speakers:
    - Elena Elkina, Partner at Aleada Consulting
    - Bret Fund, CEO of SecureSet
    - Dr. Pierre-Andre Maugis, Data Scientist, Privitar

    Audience members are encouraged to send questions to the speakers to be answered during the live session.
  • Advanced Data Privacy: Attacks & Defences
    Advanced Data Privacy: Attacks & Defences
    Theresa Stadler, Data Scientist, Privitar Recorded: Jul 12 2018 24 mins
    Sensitive information about individuals can be recovered from different types of data releases, including aggregate statistics or machine learning models. This session will address the privacy risks in publishing analysis results and introduce data privacy techniques to defend against them.

    Theresa Stadler, Data Scientist at Privitar, will explain differencing and reconstruction attacks on simple summary statistics such as count tables, along with discussing the privacy risks of supervised machine learning.

    Some of the takeaways of the session include:

    - Reasons to be concerned about the privacy of training data

    - The attacks on machine learning models that can occur and what private information about individuals in the training data can be recovered

    - A simple example of a black-box privacy attack on a classifier, a common machine learning model


    - An introduction to the differential privacy framework that functions as a privacy-enhancing technology to defend against the attacks introduced
  • [Video panel] Security and Privacy: Defining the relationship
    [Video panel] Security and Privacy: Defining the relationship
    Rob Anderson, Privitar (Chair); Jonathan Vowles, HSBC; Ellis Parry, BP; Sanjeev Shukla, Accenture Recorded: Jul 3 2018 35 mins
    This panel, from In:Confidence 2018, hosted by Privitar's Rob Anderson discusses the relationship between privacy and security, and how the two disciplines need to work together to achieve success.

    - Rob Anderson (Chair), Head of Field Operations, Privitar
    - Ellis Parry, Global Lead for Data Privacy, BP
    - Jonathan Vowles, Data Security, HSBC
    - Sanjeev Shukla, Managing Director, Accenture Security

    The words privacy and security are often used interchangeably - as both seek to protect information - but they are unique and complimentary disciplines, which each need respective levels of focus. The session looked to define the relationship between the two and how they need to align and work hand in hand.

    Security protects data against unauthorised access; privacy protects sensitive data in use within an organisation. Security is quite mature; privacy is an emerging discipline. Security is a technical field that has grown over several decades. Recognised security standards exist, and are maintained by an active community, with vetted security protocols in use everywhere. This is not yet the case for privacy. But if FB/ CA has taught us anything, it's that you definitely do need both.

    It was a fascinating discussion, from an industry-leading selection of speakers. Make sure to tune in and catch the session on-demand.

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