Synthetic Data Can Conquer FinServ’s Fear of Data Security and Privacy

Synthetic Data Can Conquer FinServ’s Fear of Data Security and Privacy

This is a sponsored blog post by Randy Koch, CEO of ARM Insight, a financial data technology company based in Portland, Oregon. Here, he explores what synthetic data is, and why financial institutions should start taking note.

You’ve heard it before – data is invaluable. The more data your company possesses the more innovation and insights you can bring to your customers, partners and solutions. But financial services organizations, which handle extremely sensitive card data and personally identifiable information (PII), face a difficult data management challenge. These organizations have to navigate how to use their data as an asset to increase efficiencies or reduce operational costs, all while maintaining privacy and security protocols necessary to comply with stringent industry regulations like the Payment Card Industry Data Security Standard (PCI DSS) and the General Data Protection Regulation (GDPR).

It’s a tall order.

We’ve found that by accurately finding and converting sensitive data into a revolutionary new category – synthetic data – financial services organizations can finally use sensitive data to maximize business and cutting-edge technologies, like artificial intelligence and machine learning solutions, without having to worry about compliance, security and privacy.

But first, let’s examine the traditional types of data categorizations and dissect why financial services organizations shouldn’t rely on them to make data safe and usable.

Raw and Anonymous Data – High Security and Privacy Risk

The two most traditional types of data categorization types – raw and anonymous – come with pros and cons. With raw data, all the personally identifiable information (PII) fields for both the consumer (name, social security number, email, phone, etc.) and the associated transaction remain tagged to data. Raw data carries a considerable risk – and institutional regulations and customer terms and conditions mandate strict privacy standards for raw data management. If a hacker or an insider threat were to exfiltrate this type of data, the compliance violations and breach headlines would be dire. To use raw data widely across your organization borders on negligence – regardless of the security solutions you have in place.

And with anonymous data, PII is removed, but the real transaction data remains unchanged. It’s lower risk than raw data and used more often for both external and internal data activities. However, if a data breach occurs, it is very possible to reverse engineer anonymous data to reveal PII. The security, compliance and privacy risks still exist.

Enter A New Data Paradigm – Synthetic Data

Synthetic data is fundamentally new to the financial services industry. Synthetic data is the breakthrough data type that addresses privacy, compliance, reputational, and breach headline risks head-on. Synthetic data mimics real data while removing the identifiable characteristics of the customer, banking institution, and transaction. When properly synthesized, it cannot be reverse engineered, yet it retains all the statistical value of the original data set. Minor and random field changes made to the original data set completely protect the consumer identity and transaction.

With synthetic data, financial institutions can freely use sensitive data to bolster product or service development with virtually zero risks. Organizations that use synthetic data can truly dig down in analytics, including spending for small business users, customer segmentation for marketing, fraud detection trends, or customer loan likelihood, to name just a few applications. Additonally, synthetic data can safely rev up machine learning and artificial intelligence engines with an influx of valuable data to innovate new products, reduce operational costs and produce new business insights.

Most importantly, synthetic data helps fortify internal security in the age of the data breach. Usually, the single largest data security risks for financial institutions is employee misuse or abuse of raw or anonymous data. Organizations can render misuse or abuse moot by using synthetic data.

An Untapped Opportunity

Compared to other industries, financial institutions haven’t jumped on the business opportunities that synthetic data enables. Healthcare technology companies use synthetic data modeled on actual cancer patient data to facilitate more accurate, comprehensive research. In scientific applications, volcanologists use synthetic data to reduce false positives for eruption predictions from 60 percent to 20 percent. And in technology, synthetic data is used for innovations such as removing blur in photos depicting motion and building more robust algorithms to streamline the training of self-driving automobiles.

Financial institutions should take cues from other major industries and consider leveraging synthetic data. This new data categorization type can help organizations effortlessly adhere to the highest security, privacy and compliance standards when transmitting, tracking and storing sensitive data. Industry revolutionaries have already started to recognize how invaluable synthetic data is to their business success, and we’re looking forward to seeing how this new data paradigm changes the financial services industry for the better.

What is the California Consumer Privacy Act and How Should You Prepare?

In this sponsored blog post, Akshatha Kamath, Content Marketing at MoEngage, breaks down new privacy legislation which could impact financial institutions across the states.

Stronger privacy protection and greater data transparency online are growing global trends. The Cambridge Analytica scandal, in which the Facebook data of at least 87 million people were misappropriated, and other instances like this have brought attention to how businesses collect, use, and sell consumer data. Concern over the use and misuse of this data is widespread. 

In many global jurisdictions, the response has been privacy legislation which forces businesses to comply with sometimes onerous regulations regarding consumer data and privacy. One of these pieces of legislation is the California Consumer Privacy Act. In its second section it lays out how pervasive privacy concerns have become and how “it is almost impossible to apply for a job, raise a child, drive a car, or make an appointment without sharing personal information.”

All of this data can be great for marketers, but businesses need to comply with privacy laws in order to avoid fines and stay up to date with consumer demand for privacy and data transparency online.

The California Consumer Privacy Act (AB-375)

The California Consumer Privacy Act of 2018 (CCPA) is by far the strongest privacy legislation enacted in the United States at this time. Businesses must be in compliance by January 1, 2020 (the starting date on which the state can bring enforcement actions involving noncompliance).

For marketers there are three major things to be aware of. First is that wherever personal information is collected businesses must disclose what information they collect and how they will use it. Secondly, businesses have to provide consumers with the ability to “opt out” of having their information sold to third parties. Thirdly, businesses must allow consumers to view and delete the information that has been collected about them.

Is My Company Affected by the CCPA?

If your business (or for-profit entity) is located in California and meets any of the following criteria, it has privacy requirements that need to be met under the law. The criteria are:

  • Your business’ annual revenue is over $25 million
  • Your business receives information of over 50,000 consumers, households, or devices annually
  • At least half of your business’ annual revenue comes from selling personal information

The law doesn’t differentiate between brick-and-mortar and online companies. This means that even a company with no physical presence or employees in California could still do business there and therefore has obligations under the law. So your business doesn’t even need to be located in California for the California Consumer Privacy Act to apply to you. Like the GDPR, CCPA will affect businesses outside the law’s jurisdiction.

Consumer’s Rights Under the CCPA

Consumers have new rights under the CCPA that companies need to be aware of. These rights fall into three broad categories:

  1. The Right to Knowledge – Under the CCPA, businesses must allow consumers to obtain, twice per annum at zero cost, all the information that the business has about them, how that information was collected, and who else has been given said information.
  2. The Right to be Forgotten – The CCPA stipulates that consumers must be able to request the deletion of all of their personal information from a company. If the information has been shared with third parties then those parties must also delete said information.
  3. The Right to Control who has Access to their Information -Businesses must allow consumers to be able to opt out of the resale of their information. Consumers under the age of 16 must affirmatively opt in to allow the resale of their data. Consumers under the age of 13 must have written permission from a parent or guardian in order to allow the resale of their data.

What Marketers Need to Do

First of all, marketers need to review their current procedures and understand their policies and procedures regarding the collection, storage and use of subscribers’ data and mailing preferences. They need to know how a user’s preferences about their data can be stored and how documentation would be provided if a user requests it.

Second of all, marketers need to think in the long term about how they set up their systems. For example, even though GDPR only applies to EU visitors, many companies have opted to implement the same higher standards across their entire platform in order to proactively prepare for similar legislations. In the same vein, marketers who prepare for the CCPA will have a leg up if privacy bills that are making their way through the legislature pass in New York, Mississippi, and Massachusetts.

Penalties for Non-Compliance of the CCPA

If, because of a business’ negligence, a consumer’s information is improperly disclosed, the CCPA makes it easier for consumers to sue (even if there is no evidence that the data breach caused the consumer harm!).

What could be very costly for businesses is the potential for class-action lawsuits due to a data breach. Companies could be on the hook for between $100 and $750 per incident (or even more if the actual damages exceed $750).

Conclusion

The California Consumer Privacy Act will go into effect on January 1, 2020. Marketers should prepare in advance to make changes to comply with the regulations. At the same time, CCPA presents marketers with an opportunity to strengthen the relationship between consumers and your business. Educate consumers on the data you are collecting and how you make use of it. Be sure to tell them their rights under the CCPA and how you are compliant. This can build trust with consumers and help you use the CCPA to your advantage.

FinovateFall Sneak Peek: UBDI

FinovateFall Sneak Peek: UBDI

A look at the companies demoing live at FinovateFall on September 23 through 25, 2019 in New York City. Register today and save your spot.

UBDI (short for Universal Basic Data Income) is reinventing financial and market research by empowering individuals to monetize aggregated, anonymized insights from their data.

Features

  • Provides aggregated, anonymized historical and real-time data points combined with qualitative data from paid users
  • Reaches the perfect audience with PrivateMatch Technology
  • Represents the gold standard of GDPR/CCPA compliance

Why it’s great
Data and privacy can work together for richer insights when you empower the individual with their own data.

Presenters

Dana Budzyn, CEO and Co-Founder
Budzyn is an engineer and published researcher with NASA for her work in Optics and Photonics technology. Watch her TEDx “Owning Your Digital Self: Monetizing Your Personal Data.”
LinkedIn

Shane Green, Executive Chair and Co-Founder
In addition to being Founder/Chair of UBDI, Green is also the U.S. CEO of personal data platform digi.me (following the merger with Personal in 2017 where he was founder/CEO). Green also founded The Map Network, which was acquired by Nokia/NAVTEQ.
LinkedIn.

FinovateFall Sneak Peek: Buckzy Payments

FinovateFall Sneak Peek: Buckzy Payments

A look at the companies demoing live at FinovateFall on September 23 through 25, 2019 in New York City. Register today and save your spot.

Buckzy is an enabler of banks and financial institutions. The company is fundamentally transforming the way people move money around the world with its real-time cross-border payments ecosystem.

Features

  • Real-time cross-border payments ecosystem
  • Availability 365 days a year
  • 24/7 access even inside of traditional banking hours and holidays

Why it’s great
Cross-border P2P payments, bill payments, global trade payments, and international student payments can now be settled in real-time with 365 days, 24×7 accessibility to funds.

Presenter

Lindsay Mulligan, Global Chief Marketing Officer
Mulligan is a global marketer, innovator, and digital martech strategist with over 12 years of experience in marketing multinational brands on a global scale for both B2B and B2C initiatives.
LinkedIn

FinovateFall Sneak Peek: CheckAlt

FinovateFall Sneak Peek: CheckAlt

A look at the companies demoing live at FinovateFall on September 23 through 25, 2019 in New York City. Register today and save your spot.

LoanPay from CheckAlt enables financial institutions to accept check, eCheck, and card payments for various loans such as consumer loans, auto loans, mortgages, HELOCs, and credit cards.

Features

  • Financial institution core agnostic
  • Fully mobile responsive for consumers
  • Provides omnichannel experience for consumers and back office

Why it’s great
LoanPay enables financial institutions to accept payments across all channels including in-person, through a call center, and online, for all loan types.

Presenters

Bobby Rahmanian, Chief Product and Innovation Officer
Rahmanian brings more than 23 years of experience in product, payments, business operations, and technology to CheckAlt. He is spearheading the transformation of LoanPay.
LinkedIn

Stacey Bryant, Senior Executive, Credit Unions
Bryant brings 15-plus years of operational oversight and business development expertise in the credit union industry to CheckAlt.
LinkedIn

FinovateFall Sneak Peek: myGini

FinovateFall Sneak Peek: myGini

A look at the companies demoing live at FinovateFall on September 23 through 25, 2019 in New York City. Register today and save your spot.

myGini is a customizable, AI-powered, plug-and-play card loyalty and customer engagement solution for financial institutions and retailers to drive incremental volume and sales.

Features

  • Digital and customizable customer engagement with each card transaction
  • Ability to create unique and segmented promotions
  • Point redemption and cash back in real time

Why it’s great
myGini is a financial app that brings tangible benefits and interacts with the consumer at the right time.

Presenter

Mehmet Sezgin, Founder and CEO
Sezgin is former Global Head of Payments at BBVA and former CEO and founder of Garanti Payments. He has served as a board member for MasterCard Europe for 14 years.
LinkedIn

FinovateFall Sneak Peek: MX

FinovateFall Sneak Peek: MX

A look at the companies demoing live at FinovateFall on September 23 through 25, 2019 in New York City. Register today and save your spot.

MX is the leading data platform for banks, credit unions, and fintechs, empowering customers to easily collect, enhance, analyze, present, and act on financial data.

Features

MX Enabled is a centralized data platform that rapidly integrates amazing fintech companies to thousands of banks and credit unions creating faster time to market and reduced costs.

Why it’s great
MX Enabled connects fintechs and financial institutions to a world of innovation through enhanced data.

Presenters

Brandon DeWitt, CTO and Co-Founder
DeWitt is the co-Founder and CTO of MX. Prior to MX, he co-founded MyJibe, a personal financial management company, acquired by MX in 2012. DeWitt formerly worked at Baker Hill and Experian.
LinkedIn.

Cosme Salazar, Product General Manager
Salazar is a Product General Manager over APIs and the MX Enabled platform. He has worked in product management for over ten years including time at Instructure and Amazon.
LinkedIn.

FinovateFall Sneak Peek: Zogo Finance

FinovateFall Sneak Peek: Zogo Finance

A look at the companies demoing live at FinovateFall on September 23 through 25, 2019 in New York City. Register today and save your spot.

Zogo Finance offers a white-labeled, financial education app that rewards cash incentives to users for learning.

Features

  • Bite-sized modules
  • Embedded rewards system
  • Lead generation

Why it’s great
Get paid to learn financial literacy.

Presenter

Bolun Li, CEO
Li is a 20 years old serial entrepreneur and was awarded 30 under 30 in 2018 for his previous startup.
LinkedIn

FinovateFall Sneak Peek: Mylife

FinovateFall Sneak Peek: Mylife

A look at the companies demoing live at FinovateFall on September 23 through 25, 2019 in New York City. Register today and save your spot.

Mylife is the leading provider of consumer reputation data including the new consumer reputation score.

Features

  • Assesses publicly available data to score consumer character
  • Enables consumers to take action to improve their score
  • Establishes trust in others based on their score

Why it’s great
The consumer reputation score is new and being rolled out widely to enable trust and safety in online interactions between consumers

Presenters

Mark Kapczynski, SVP, Partnerships
Kapczynski is the former VP of strategy at Experian and head of strategy for Yodlee’s data and analytics business.
LinkedIn

Tim Peters, VP, Partnerships
Peters is the former head of digital acquisition at Experian for FreeCreditReport.com along with several additional fintech companies.
LinkedIn

FinovateFall Sneak Peek: Ninth Wave

FinovateFall Sneak Peek: Ninth Wave

A look at the companies demoing live at FinovateFall on September 23 through 25, 2019 in New York City. Register today and save your spot.

Ninth Wave is the go-to partner for universal financial data integration, delivering a secure, seamless, and standardized information supply chain.

Features

  • Enable connectivity between banks and third parties
  • Quickly provision secure connectivity to business and consumer apps
  • Highlight new ways for banks to improve customer experiences

Why it’s great
Ninth Wave is excited to show FinovateFall attendees how easily it can enable financial institutions to provide a world-class app experience to SMBs and consumers.

Presenters

George Anderson, Founder
Under Anderson’s leadership companies have garnered honors such as Deloitte and Touche Fast 50, FinTech 100, and Software 500.
LinkedIn

Camellia George, Product Manager, UX/Privacy
Before joining the front lines of financial data access and control, George led teams at Venmo, Fab.com and WaPo.
LinkedIn

Finovate Alumni News

On Finovate.com

Around the web

  • Nice Actimize introduces surveillance system, SURVEIL-X.
  • Scalable Capital teams up with Raisin to offer its customers the ability to invest in fixed-term deposits at partner Baader Bank.
  • Standard and Premium customers of Revolut in 26 markets now have access to stock trading via the platform.
  • Financial Times highlights Meniga as a fintech to watch. Come see Meniga’s live demo at FinovateFall next week in New York!
  • NYMBUS appoints Dr. Joerg Richter as its new Chief Operating Officer, Platforms. NYMBUS will showcase its newest technology at FinovateFall next week in New York!
  • Tradeshift to help Spendency app users leverage their transaction data.
  • iProov releases HTML v.2 Beta on GitHub to help users secure user identity in HTML5.
  • Onfido earns the top spot in FinTechCity’s 2019 Fintech 50 roster.

This post will be updated throughout the day as news and developments emerge. You can also follow all the alumni news headlines on the Finovate Twitter account.

Finicity Launches Verification of Income and Employment Solution

Finicity Launches Verification of Income and Employment Solution

Real-time financial data access and insights company Finicity has unveiled its latest solution to accelerate the lending process and further the trend toward digitization in the mortgage industry. This week, the company launched its Verification of Income and Employment (VOIE) solution, which leverages bank data and a scan, photo, or PDF of the borrower’s pay statement to make borrower verifications both faster and more accurate. In its statement Finicity noted that VOIE is expected to successfully provide coverage of more than 70%. This compares favorably to the accuracy rates of existing automated solutions, which top out near 25%.

Calling Finicity’s VOIE “the new gold standard of income and employment verification,” company CEO Steve Smith suggested the technology would be a significant new resource for lenders. “We know it will be met with fast adoption by key industry players who aim to be on the cutting edge of lending technology,” he said, adding “(with) VOIE building upon our current Verification of Assets solution, lenders will now be able to use Finicity as a one-stop-shop for digital verification.”

Appreciation for Finicity’s VOIE solution has already been heard from the likes of major mortgage industry players such as Freddie Mac, Quicken Loans, and Experian – all of which have leveraged Finicity’s technology to automate the manual processes that have historically made the loan origination experience cumbersome for all parties involved.

Freddie Mac, for example, highlighted the contribution Finicity’s VOIE would bring to its own asset and income modeler (AIM). “(Our) partnership with Finicity has helped to create a waterfall-like approach by adding paystub data to our AIM capability using accurate and verifiable data that meet our underwriting standards,” Senior Director of Technology Integration at Freddie Mac Kevin Kaufman said. “This means more opportunities for representation and warranty relief and greater costs savings for lenders all while delivering a better lending experience to borrowers.”

Quicken Loans EVP of Client Experience Heather Lovier echoed Kaufman’s praise for the technology, referring to VOIE as “a critical next step in the evolution of the mortgage process.”

The news of Finicity’s Verification of Income and Employment solution comes one month after the company introduced its Student Loan Account Verification solution. This technology enables employer repayment programs to access Finicity’s ACH endpoint to confirm the accuracy of accounts and routing numbers when making loan payments on behalf of their employees. Fellow Finovate alum Vault is among the companies to have partnered with Finicity in order to put the technology to work on behalf of employer-based student loan contribution programs.

Founded in 1999 and headquartered in Salt Lake City, Utah, Finicity demonstrated its credit decisioning solutions – including its Verification of Income (VoI) and Verification of Assets (VoA) technology – at FinovateFall 2017. The company has raised nearly $80 million in funding, and includes Experian Ventures and Bridge Bank among its investors.

Earlier this year, Finicity inked a major partnership with Ellie Mae, integrating its Verification of Assets solution into Ellie Mae’s Encompass Digital Lending Platform. This makes Finicity’s technology available to the more than 230,000 users and thousands of providers who, as part of Ellie Mae’s partner network, process “approximately one-third” of all the residential loans originated in the U.S.