After spending time at a London fintech acceleratorlast    year, enterprise databasestartup ZeroDB scrapped its    first business plan and mapped out a new one. By January this    year it had a new name: NuCypher.    It was no longer going to try to persuadeenterprises to    switch out their Oracle databases  but rather to sell them on    a specialized encryption layerto enhance their ability to    perform big data analytics by tapping into the cloud. Its    slogan: body armor for big data.  
    Today itslaunching an open source version of its general    releaseproduct here at TechCrunch Disrupt New York. At    this point, the almost 1.5-year-old startup is also running a    handful of pilots with major banks, says co-founder MacLane    Wilkison.  
    Its a combination of cloud and big data, he says of the    underlying drivers which the team reckons are creatinga    need for the technology. Now all of a sudden youre    workingin computing environments that are distributed    across hundreds or thousands of machines, and that could be    spanning both some on-prem, some private and evenpublic    cloud. And that sort of scenario presents a lot of new and    different security challenges.  
    Instead ofbuilding an open source end-to-end encrypted    database, NuCypher is selling a proxy re-encryption platform    forcorporates with large amounts of sensitive data stored    in encrypted databases to letthem securely tap into the    power of cloud computing. An idea that might need a bit of    explaining to appreciate, but one thats grounded in a    genuineneed  at least based on what NuCyphers    earlybanking partners are telling it.  
    On the competitors front Wilkison names the likes of HP-owned    Voltageand Protegrityas the largest    existing players in the space. Albeit, he says theyre both    doing tokenization of data, whereasNuCypher reckons proxy    re-encryption technologyoffers greater security for    certain types of data.  
    Unlike some other approaches to processing big data in the    cloud, heemphasizesthat NuCypher is not using    tokenization to mask any data arguing this is necessary    for the target customers because certain types of data when    masked with tokens can be vulnerable to statistical attacks.  
    While proxy re-encryption is an existing area of cryptography,    applying it to big data is whats novel here, according    toWilkison, who saysthe tech has mostly been used    in academia thus far. Were the only people that applied it to    big data platforms like Hadoop and Spark, he says. As far as    I know were the only one using proxy re-encryption in    business.  
    So while the teamsearly ideas focused mostly    onlooking at data archiving and encryption to enable    banks to make use of cloud storage, he says the    businesswas pulled onto its currentrails    afterbanks asked if theycouldapply the    encryption tech the team hadbeen building for data    archiving to big data cloud processing.  
    Safe to say, this mini pivot is a familiar story for enterprise    startups  after all, who knows better the businessneeds    than the target customers?  
    When we originally started the company, my co-founder and I    had built an open-source database and then an encrypted    database that allows you to operate unencrypted data without    sharing encryption keys with the database server What the    banks were particularly interested in was taking some of what    we had built for that and applying it to more compute-heavy    type of workloads, says Wilkison.  
    After a period of talking to customers we took some of what    we had built for that and made it into a more generalized    encryption layer for different platforms  specifically for the    big data space. So Hadoop, Kafka and Spark.  
    So what is proxy re-encryption  aka NuCyphers secret sauce,    as Wilkison putsit  and why isthe technique useful    for banks?  
    Proxy re-encryption is a set of encryption algorithms that    allow you to transform encrypted data. Specifically it allows    you to re-encrypt data  so you have data thats encrypted    under one set of keys, you can re-encrypt the data without    de-encrypting it first, so that now its encrypted under a    second, different set of keys,is how    Wilkisonexplains it.  
    He gives the example of a person who has some encrypted files    stored in Dropbox. If they want to share the files with someone    else that could be achievedby downloading them,    decrypting them with their key and then re-encrypting them with    the public key of the person theywant to share with. But    obviously  at scale  thats a pretty network-intensive and    cumbersome process.  
    Even more naively, this personcould just share    theirprivate encryption key with the person    theywant to share the file with. But then    theyreabandoning all control of theirsecurity.  
    Clearly neither scenario is ideal for NuCyphers target    customers  with their vast lakes of sensitive, highly    regulated data. This is where NuCypher reckons proxy    re-encryption can step in to offer an edge.  
    What I can do with proxy re-encryption thats much more    elegant and secure than either of those alternatives is I can    basically delegate access to my encrypted data to someone    elses public key, he adds.  
    The platform creates a re-encryption token off of the public    key of the entity with whom its customers wants to share data.    That token can then be uploaded to the cloud where the third    partycan access it  in turn enabling them to decrypt and    access the data.  
    Wilkison says re-encrypted tokens can be created and used    todelegate access to as many people as I like.  
    Ensuring compliance with regulations around the processing of    sensitive data  data such as a bank or healthcare company    might hold  is one key selling point for the platform.  
    Hepoints to a regulation like HIPAA, which sets standards    for protecting healthcare data, as one example where a lot of    care is needed when handling data toensure compliance. He    also flags upthe European Unions incoming GDPR (General    Data Protection Regulation), which ramps up penalties for    violations of rules on processing citizens personal data, as    another instance ofdata-centric lawscreating data    processing pain-points thatNuCyphers platform is setting    out tofix.  
    Other target data-laden industries couldinclude telecoms    and insurance, though the team has kicked-offfocusing on    financial services, and the current pilot phase of the platform    is with major banks.  
    Wilkison saysthere are essentially three main use-cases    for the platform:  
    Another benefit henotes isthat NuCyphers proxy    re-encryption technology enables itto givecustomers    the ability to manage access controls without needing to    provide full access to the data  which meansit    canremove any single point of failure (i.e. via an admin    who has to have full access control to all of the data).  
    With NuCypher a hacker would have to hack into each node    individually in order to get all the data, he adds.  
    Given the complexities of the technology, customer education is    clearly one of the big challenges, with Wilkison saying    thisboils down toexplaining how the approach    differs from standard encryption.  
    And on that front, he says one selling point for the platform    is that theproxy re-encryption tech works with NIST    standardized encryption algorithms. Which means NuCypher    customersdont have to abandon the tried and tested    encryption algorithms theyre comfortable using, such as    AES-256, in order to make use ofthe tech.  
    That was one of the pieces that we added that took a pretty    significant amount of research to develop for us  to get proxy    re-encryption to work with things likeECIES, which is a    standard elliptic curve, NIST-certified, he notes.So we    can go to a customer and say, everything that were doing on a    crypto level is very standardized, very well understood by    industry. So theyre not having to rely on newly rolled    crypto.  
    NuCyphers platform exists as an SDK and an encryption library,    so its business model is licensing the software  its not    hosting any data itself, confirmsWilkison; customers can    install the softwareon premise, such as within an    existing Hadoop deployment, or directly in the cloud on the    infrastructure theyre managing.  
    Funding-wise, the teamhas raised a $750,000 seed round to    date, from Valley investors including Base Ventures, NewGen    Capital and some angels. It also went throughY Combinator last summer. Wilkison    says it will be looking to raise again in Q3 this year.  
    How big do they reckonthis market is? Wilkison says hes    hoping the current six to seven pilot customers of NuCypher    will turn into high double digit or maybe low triple digits    in a years time. But with those target large enterprises    typically spending vastamounts of money on securely    storing the sensitive data theyre entrusted with,theres    also a very sizeableincentive for them toshift some    of that compute load into the cloud.And, potentially, a    lot of money at stake if NuCypher can convince them to buy in.  
          NuCypher presents at Startup Battlefield at TechCrunch          Disrupt NY 2017        
          NuCypher presents at Startup Battlefield at TechCrunch          Disrupt NY 2017        
          NuCypher presents at Startup Battlefield at TechCrunch          Disrupt NY 2017        
          NuCypher presents at Startup Battlefield at TechCrunch          Disrupt NY 2017        
          NuCypher presents at Startup Battlefield at TechCrunch          Disrupt NY 2017        
          NuCypher presents at Startup Battlefield at TechCrunch          Disrupt NY 2017        
    Judges Q&A  
    Q: Can you talk a bit more about how far along    you are with some of the early clients?    A: Were in pilot stage right now. The bulk of    our early customers are in financial services. Were starting    to get traction in healthcare and telcos as well. Pilot phase    at this stage.  
    Q: Tell me a bit more on the competition    A: Theres a couple of ways to look at this.    One: the platforms that we support do have some native data    protection built in. So Hadoop for example. These tend not to    be robust enough for the types of enterprise customers that    were working with. Other alternatives include data masking and    tokenization. HP Voltage for example.  
    Q: You worked before at Morgan Stanley. Why    did you leave a steady job with nice salary and Wall Street and    went into this kind of adventure?    A: Ultimately I wanted to get back to a more    technical role, and actually start building a product in a    company again  as opposed to building financial models and    pitch decks  
    Q: And this is the actually launching of the    product?    A: Were launching the open source version.    Weve had Hadoop available for a while. And then Kafka is    launching as well  
    Q: What did your mother say when you told her    that you were leaving Morgan Stanley for this adventure?    A: She was supportive. Although maybe didnt    quite understand what we were doing  
    Q: Can you tell me more about the    implementation? What does it look like as you deploy to    enterprise  how do you get all of their existing data    encrypted and how do you do key management?    A: On the key management side we actually    integrate with hardware security modules  so at lots of banks    we use HSM from vendors like Thales or SafeNet.  
    For Hadoop we encrypt at the HFS layer. And everything is    transparent to applications running on top of Hadoop, so it    doesnt change the experience for someone running Hive queries    for example.  
    And we also integrate with access control tools like Ranger and    Sentry. So people can keep using the standard tools that they    use.  
    Q: Is your business a classic SaaS model?    A: Were not hosting anything. Its not    software as a service. We have term-based subscriptions, and    then also a consumption-based model for cloud deployments.  
    Q: How do you intend to go to market? Sales    force? direct sales?    A: Some combination of direct sales, which    weve done today, and then also the channel partners and big    data vendors and the cloud service providers as well, folks    like Amazon and Microsoft.  
    Q: Who are your main competitors?    A: The data masking and tokenization companies    are the one we run into most regularly. Voltage which is now    part of HP. In Europe we see a company called Protegrity pretty    frequently. And then as I mentioned before a lot of the    underlying platforms will have some sort of protection tools    natively.  
    Q: Do you run into people like Ciphercloud or    Ionic?    A: Not so much anymore. Were similar in some    ways to them were more focused on infrastructure like Hadoop    and data platforms  
    Q: How many people are you now?    A: Were the two founders and then seven    people total on the team  
    Q: And how much money did you raise?    A: Weve raised $750K so far from Y    Combinator, NewGen Capital and Base Ventures  
    Q: How long ago?    A: Last fall  
    Q: How hard would it be for your competitors    to replicate the work that youve done?    A: Certainly its a lot easier now that its    open source That said we do have an open core approach so we    have certain enterprise features that are still proprietary    that are only available in the enterprise version. Additionally    if the Hadoop vendors integrated what were doing natively into    Hadoop thats still just for Hadoop.  
    So NuCyphers meant to be layered, it sits across all of the    organizations big data platforms. Right now theyve use    Hadoop, Kafka, Spark. In the future that could include some new    SQL databases, and potentially structured databases as well  
    Q: Judging from your experience with your    colleague how do you compare the American level of mathematics    and physics to the Russian one?    A: The American approach is lacking. Im    hugely impressed. Not only is my co-founder Russian educated,    and Russian born, a lot of our engineers are as well, so weve    been very fortunate in that regard  
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