Name: Understanding Data Masking in Healthcare
Start: 2021-09-02T16:00:00Z
End: 2021-09-02T16:40:40.000Z
Location: BrightTALK
Rating: 5

Achieve compliance with stringent privacy laws and protect valuable customer data

As the world’s leading CRM solution, Salesforce contains mission-critical data that connects companies with their customers. As the centerpiece of the customer record, Salesforce contains large amounts of Personally Identifiable Information which often goes unprotected in Salesforce development sandboxes and integrated test environments.

Enterprise customers have many development sandboxes across their Salesforce organizations, creating an enormous attack surface for bad actors inside the organization, or from hackers infiltrating the IT system. The risk grows when Salesforce data is required for complex SIT or UAT testing with other applications.

Security and ops teams often rely on brittle, error-prone scripts that can’t scale to meet the needs of a large organization with potentially thousands of Salesforce tables. Sensitive data can easily leak into development environments, resulting in non-compliance with increasingly stringent internal and regulatory requirements.

Watch this webinar to understand how the DevOps Data Platform can:

- Replace manual processes with automated discovery and masking of sensitive data
- Operationalize continuous compliance quickly and accurately for GDPR, CCPA, and other regional regulations
- Prevent theft of sensitive data can be used to force ransom payments by cyber attackers
- Efficiently secure and replicate Salesforce data into integrated test environments

How to Protect Sensitive Data in Your DevOps Pipelines and Salesforce Sandboxes

An interview featuring Michelin’s Group Chief Digital & Information Officer Yves Caseau.

Yves Caseau, Group Chief Digital & Information Officer at Michelin, joins host Jedidiah Yueh on the Data Company Podcast to share his perspective on the importance of software craftsmanship and the role data plays in digital innovation and business growth. Plus, he gives a preview of his latest book called “The Lean Approach to Digital Transformation.”

Michelin Drives Sustainable Mobility Using Data and DevOps

Enterprise DevOps teams have reached unprecedented levels of maturity that have revolutionized their software supply chain, but the relentless drive to fuel business growth requires continual refinement of the value stream. 

API-driven data delivery is your secret weapon in optimizing the CI/CD pipeline, fundamentally changing the physics of data to match the flexibility of cloud-based infrastructures and automated development toolchains. 

Automating data operations allows development teams to re-architect legacy, manual processes that both accelerate application development and improve application quality by:

• Shifting left with production-relevant data to ensure comprehensive test coverage earlier in the release cycle, establishing faster, higher-quality feedback loops. 
• Increasing the accuracy of complex integration testing, bringing data agility to diverse application stacks in any location.
• Expediting root cause analysis of production issues by reproducing the state of the database before, during, or after an incident.
 

Watch this webinar to understand how API-driven data delivery can:

• Increase developer productivity
• Reduce change failure rates
• Improve MTTR from production incidents

API-Driven Data Delivery: Your CI/CD Secret Weapon

Businesses are opting for a multi-cloud strategy to both establish a diversified infrastructure and take advantage of best-of-breed cloud services and capabilities. The result is an inherent complexity in an ever-expanding enterprise ecosystem, where new and migrated applications are deployed across multiple cloud providers.

Adding to the complexity is an increased diversity of the data sources that support these applications, ranging from traditional monolithic databases, to PaaS, to many fit-for-purpose datastores used by microservices. Layered on top are stringent privacy regulations that govern and protect sensitive data in production and in lower-level environments used for application development or analytics.

Trying to capture, secure, and rapidly deliver quality data to non-production environments has always been a challenge, and it’s even harder in a multi-cloud model. What happens when production instances, app dev environments, and analytics processing are running in different clouds? It will be difficult to effectively execute a multi-cloud strategy if data can’t be easily and securely moved from cloud to cloud.

Supplying data for non-prod use cases in the cloud requires data to be transportable, API-driven, and secure.

Watch this webinar to learn:
• How to leverage compliant, lightweight virtual databases for secure cloud-to-cloud data mobility
• The truths behind common myths for data security, test data, and PaaS databases
• How to provision integrated test environments with data from multiple clouds from our 4 product demos

Secure Data Mobility: Myths, Methods, and Multi-cloud

The banking sector, for many decades, has relied on legacy processes and systems to serve its customers. But today, the rise of online banking, digital applications, and challenger banks has caused significant disruption across financial services.

The COVID-19 crisis has put pressure on banks to improve their digital offerings as lockdowns have forced customers to turn to online banking rather than physical, in-store experiences. Big banks, once kings of capital, are facing competitive pressure from both fintech and the technology giants, who are making great strides to offer a seamless digital financial services experience tied to their core platform, while managing a flurry of stringent regulations across the globe.  

The need to provide better, faster, and safer digital services to customers remains a powerful driver of digital transformation for banking institutions. This is especially true for BNP Paribas, the world’s seventh largest bank by total assets and the largest bank in Europe. 

Today, BNP Paribas is taking a bold approach towards harnessing data and technology to accelerate digital innovation in the banking industry. Listen to this fireside chat with Global Chief Information Officer Bernard Gavgani as he reveals ways in which the organization strategically leverages data to elevate the customer experience, the most important AI initiatives at the bank, and more.

Fireside chat: Inside BNP Paribas' Digital Banking Innovation: Cloud, Data, AI

Traditional perimeter-based security policies are no longer sufficient for today’s complex and decentralized enterprise IT environments. Once attackers breach the perimeter, movement can be difficult to detect. 

Zero Trust assumes there is no implicit trust granted to assets, user accounts, microservices, or data based solely on their location. Under a Zero Trust policy, every user and transaction must be validated before access to an enterprise resource is granted. 

A comprehensive data compliance program is a foundational element of a Zero Trust model. And for non-production environments used by application development and analytics teams, ‘verify but still not trust’ is a principal concept.

Join us on April 7th to learn how to:

• Ensure data protection when sharing data across your business ecosystem
• Establish a ‘default deny’ policy with automated anonymization of sensitive data
• Maintain referential integrity when integrating diverse data sources  
• Eliminate risk of non-compliance with new and evolving privacy regulations

Data Compliance in a Zero Trust World

Discover how the Delphix Data Platform accelerates cloud migration by securing, governing, and delivering data across hybrid and multi-cloud architectures.

This demo provides a step-by-step walkthrough, showing you how to leverage Delphix to:

• Create space-efficient virtual databases from any source
• Mask data while preserving the realism and referential integrity of your datasets
• Migrate data from on-premises to AWS, Azure, or GCP
• Move data from one cloud to another cloud
• Provision and refresh data environments for migration testing

About the presenters:
Aaron Jensen is a Senior Solutions Engineer based in Nashville, TN. He has over 25 years of experience overseeing transformative technology projects at dozens of major organizations. Before joining Delphix Aaron was instrumental in building one of the nation’s largest data science labs for a big 4 accounting firm. He also has extensive experience implementing process changes to help development teams improve their efficiency and quality. When not at work Aaron, his wife and their 6 kids love spending quality time outdoors.

ANDY PAN
Andy Pan is a seasoned technology professional with over 15 years of experience designing and promoting consumer and enterprise software. He is currently helping to accelerate the sales pipeline at Delphix with compelling content.

Accelerating Cloud Migration with the Delphix Data Platform

Ransomware attacks are on the rise, using increasingly sophisticated methods, targeting critical apps and databases where downtime is most costly. Organizations need data observability and immutability to automatically discover and quickly recover from data breaches.

Join us on this webinar to discover how to:

•  Accelerate troubleshooting of production issues
•  Protect against accidental database deletion or corruption
•  Recover faster from malware/ransomware or malicious intent
 

Find out how to build a cyber resiliency test zone, allowing for earlier detection of data integrity breaches. Also, discover the value of an immutable data time-machine for enabling data refreshes from a point just prior to an attack for faster recovery from cyber and ransomware attacks.

Building a Cyber Resiliency Zone

Gene Kim is the WSJ bestselling author of The Unicorn Project.  He’s also the founder and organizer of the DevOps Enterprise Summit. 

Gene shares his thoughts on the role data plays in DevOps, the common thread of data-related challenges that run through DevOps and digital transformation, and what inspired him to invest in Delphix. 

In the spirit of debate season, Gene and Jed discuss their differing ideologies behind which approach yields the fastest path to success for an organization. Is bottoms up or top-down the right approach to innovation? Watch the interview to find out!

About the presenters:
Gene Kim is a NYT bestselling author, multiple award-winning CTO, and has researched high-performing technology organizations since 1999. He was founder and CTO of Tripwire for 13 years. He has written six books, including The Unicorn Project (2019), The Phoenix Project (2013), The DevOps Handbook (2016), Accelerate (2018), and The Visible Ops Handbook (2004-2006) series. Since 2014, he has been the founder and organizer of the DevOps Enterprise Summit, studying the technology transformations of large, complex organizations.

Jedidiah Yueh started his career as a high school teacher. He is the bestselling author of Disrupt or Die, a book that refutes conventional ideas on innovation with proven frameworks from Silicon Valley. Prior to his book, Jed put his frameworks to the test, leading two waves of disruption in data management, first as founding CEO of Avamar (sold to EMC in 2006 for $165M). Avamar pioneered data de-duplication and generated over $5B in cumulative sales. After Avamar, Jed founded Delphix, which provides a data platform to enable digital transformation for over 30% of the Global 100 and has surpassed $100 million in ARR. In 2013, the San Francisco Business Times named Jed CEO of the Year. Jed has over 30 patents in data management and graduated Phi Beta Kappa, magna cum laude with a degree in English and psychology from Harvard.

Fireside chat: Data—the Biggest Constraint in DevOps and CI/CD

Discover how the Delphix Data Platform accelerates application development by automating data delivery within your DevOp workflows. This demo provides a step-by-step walkthrough, showing you how to leverage Delphix to:

• Speed up application delivery at scale by provisioning data to CI/CD pipelines via API
• Version data like code by automatically branching, bookmarking, and refreshing data environments 
• Integrate data management with version control, CI, and configuration management

About the presenters:
Corey Brune is an enterprise technology expert who helps organizations implement complex technology platforms. A seasoned systems architect, Corey has over 18 years of experience with positions ranging from Director of Engineering and Software Engineer to Lead Architect and Pre-Sales Engineer. In the early 90s, he worked on high-end HP and Sun systems and developed applications for Fortune 100 financial and healthcare businesses. He works as a practitioner developing automation tools, designing distributed data strategies and architecting solutions for clients. 

Andy Pan is a seasoned technology professional with over 15 years of experience designing and promoting consumer and enterprise software. He is currently helping to accelerate the sales pipeline at Delphix with compelling content.

Accelerating Your Application Development Projects With Data in DevOps Workflows

To achieve Internet and cloud speed and scale, enterprises must adopt solutions that are programmable and API-driven. And while storage, compute, and code have all been automated, data remains a rigid part of the stack that’s managed via slow and manual processes— bottlenecking everything from application development to cloud adoption.

Join us on this webinar to learn how modern enterprises are addressing this gap by deploying programmable data infrastructure. We will cover:

• What programmable data infrastructure is, and how it transforms software development, cloud migration, and privacy compliance
• 6 API-driven capabilities essential for development, SRE, and data science teams
• Ways to integrate programmable infrastructure with toolchains for DevOps, TDM, CI/CD, and AI/ML

Introduction to Programmable Data Infrastructure

DevOps teams have built automated, repeatable processes for much of the development pipeline. But test data bottlenecks continue to plague otherwise efficient CI/CD workflows yet are surprisingly overlooked when evaluating the speed of the value stream. 

Legacy ticketing systems and coordination to provision and refresh test data create a tremendous drag on release velocity. And manual processes for de-identifying sensitive information are slow and error-prone. PII data can easily leak into test environments.  

API-driven test data delivery and compliance improve the flow of the entire software lifecycle. Treating data like code eliminates data wait states, delivering and refreshing data over 90% faster than outdated processes. Integrating data automation into the CI/CD toolchain breaks the data bottleneck so continuous integration can truly scale.

Watch this webinar to learn how to learn how a programmable data infrastructure ensures test data can keep pace with high-velocity development and improve development productivity:

• Version-control test data just like code
• Refresh, bookmark, or rewind data with a single API call
• Shift-left with production-quality data
• Automate identification and masking of sensitive data

Accelerating CI/CD Cycles with Programmable Data Infrastructure

Every industry has their own crunch time, when all hands are on deck and systems need to perform at the highest level. For retail it's Black Friday. The difference this year is instead of people flocking to physical stores, the majority of shopping will be done online, leaving no room for errors, downtime, or slow applications. End-to-end systems must be tested and tested again to ensure peak performance remains to be stable and processed as per SLAs.
 
In this webinar, Kumar Vellore and Steve Karam will talk about preparing for a cyber holiday shopping season through digital transformation of applications and services, rigorous testing, and improved production resiliency.
 
Watch this webinar to find out how to find out how Delphix helps retailers: 

• Accelerate online and mobile application releases. 
• Enhance and improve customer experience (CX), reduce production defects (shift-left) by 27%.
• Improve infrastructure resiliency, reduce unplanned downtime by 65%.
• Time-travel to recover faster from outages, ransomware and logical data corruption during high volume days.
• Protect personal and sensitive production data in lower environments to facilitate global 24x7 development and testing. 
• Offload critical analytics, and reporting workloads to production like data in lower environments without compromising production stability.

Don’t Let Your Doorbusters Become Production Busters

Data privacy regulations require that organizations protect the personal information of customers and employees. Discover what data is considered personal information and how to protect it to avoid costly fines and reputation damage.

In this webinar you will learn:

• What data is protected by various data privacy regulations
• What data is not considered personal information
• GDPR, CCPA, and HIPAA at a glance and definitions of de-identified/anonymized data
• Data environments that pose the highest risk
• How irreversible data masking eliminates compliance risk

How to Reduce Compliance Risk by Protecting Personal Information

Cloud services play an increasingly critical role in helping companies accelerate innovation. 

Application teams can optimize around automated and repeatable software delivery processes, re-architecting IT procedures for a highly flexible infrastructure, and establishing the foundation for future cloud migration and adoption.
 
But what happens when your code is agile, but your data is not? Feeding and refreshing test data for cloud-based test environments from an on-prem production instance is harder than you think.  

Watch this webinar for an outline of real-world challenges and best practices to achieve data agility when application development is in the cloud and production remains on-premises.

How to Automate Data for Hybrid Cloud App Dev

Watch this webinar featuring 451 Research VP Matt Aslett for critical insights on the depth and breadth of CX/EX challenges; and why a smarter approach to DataOps is urgently needed. Data is what sets the leaders apart. The burning question is, are you playing data operations catch-up? And if so, what can you do to speed up and keep up? 

Delphix's Kobi Korsah adds valuable context while highlighting how Blue chips like FannieMae, Boeing Employees' Credit Union, StubHub, and Clorox improved their bottom-line by transforming the customer experience up to 100 times faster—with Delphix. And continue to accelerate experience innovation to shape and reshape customer engagement.

• Introduction: The CX/EX Curve and your Bottom-Line
• Insights and approaches to outpace the CX/EX curve
• Disrupt or be disrupted – flexing with the flow of data
• A hotbed of CX transformation - Capital Markets 
• Harnessing data – more stories from the CX Edge

CX/EX Innovation Sets Leaders Apart - Outpace the Digital Experience Curve

Data can play a central role in an organization’s key technology initiatives, but it can be a blocker to innovation if it’s inaccessible. California State University wanted to harness existing data across its 20+ campuses to create a centralized view of its data and provide real-time analysis to help improve students' academic experience.

To support a data initiative of this magnitude, the university focused on a DataOps strategy that streamlined the application delivery pipeline and helped the quickly migrate to a flexible cloud architecture. 

Watch to learn how:

• CSU rapidly provisions self-service, secure data for development and test teams—helping dramatically improve release cycle times and reduce data-related errors.
• With a unified view of data across its campuses, the university can use its data to deliver innovation faster.

DevOps and Cloud Data Bring New Digital Services to 500,000 University students

Learn how to overcome the complexities of de-identifying TriZetto® healthcare data and healthcare EDI files to protect PII/PHI data.

Over two dozen Cognizant TriZetto customers use Delphix data masking to secure their databases and integrated EDI files for B2B file transfers, AI/ ML, non-production database copies, dev/test operations, cloud migrations, and more.

In this webinar, Jeannine Crownover, MHA, explains the benefits of using a proven enterprise platform for data masking for claims processing, billing, member enrollment and other healthcare applications.

Topics covered in the webinar include:

• Transforming sensitive data into fictitious yet relevant values - irreversibly.
• Using an enterprise data masking solution to protect PII/PHI data helps you keep pace with continually changing compliance mandates.
• Understanding how to define masking rules for claims data relevant to HIPAA's Safe Harbor clause.

Jeanine is joined by Steve Sideris from SourceEdge healthcare consultancy firm to talk about real-world healthcare data compliance examples and assist in answering your questions. Sharon Bell moderates this talk.

Understanding Data Masking in Healthcare

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Artificial Intelligence

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Data Analytics

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Data Compliance

data masking

Healthcare

HIPAA

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Understanding Data Masking in Healthcare

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