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©2019 Collibra Inc
Bridging Data Privacy with Data Governance
Toward a Set of Best Practices
Nimrod, Vax, Chief Product Officer & Co-Founder, BigID
Joaquin Sufuentes, Lead Architect, Metadata Management & Personal
Information Protection, Enterprise Data Management, Intel IT
May 23, 2019
Presenters
Nimrod Vax, Co-Founder and CPO, BigID
Nimrod has over 15 years of experience in enterprise security software and identity management
serving in various capacities ranging from engineering, product and business management. Prior
to founding BigID, Nimrod served as VP Product Management, Product Line Manager for CA
Identity Management product line and as an advisor to security startups in the area of identity
management and user behavior analytics.Nimrod holds a BSc. in Computer Science and a
Masters of Business Administration with specialization in Marketing Management.
Joaquin Sufuentes, Lead Architect, Metadata Management & Personal
Information Protection, Enterprise Data Management, Intel IT
Joaquin leads the initiative to turn Intel’s data from the new oil to a renewable and reusable
resource by instilling better metadata management & personal information protection methods
and practices. Prior to this, Joaquin was Service Owner for Enterprise Data Management; led the
Data Architecture team at Intel, as well as Enterprise Architecture for Infrastructure Services and
Service Management. Joaquin joined Intel through the acquisition of Trillium Digital Systems
where he was the IT Director.
BigID Company at a Glance
FOUNDED
2016
MVP
2017
$46M
RAISED
SEED+A+B
RAMP
7x YoY
Growth
90EMPLOYEES
RECOGNITIONS
2018 GARTNER COOL
VENDOR FOR PRIVACY
2018 RSA INNOVATION
SANDBOX WINNER
2018 CB INSIGHTS
BREAKTHROUGH COMPANY
2018 NETWORK
PRODUCTS GOLD
New York I Tel Aviv I London I Stockholm I Zurich I Singapore | Sao Paolo
BigID Privileged and Confidential
BigID Redefines Personal Data Protection & Privacy
Find PI
Not just PII
Inventory Data
By Person
Automates Privacy,
Data Risk Compliance
Petabyte Scale
& Accuracy
Look Across Any
Data
Traditional Classification & Catalog Tools Can’t Address Privacy Use Cases
Enabling Data Governance For Privacy
Privacy Imperatives
● GDPR introduced a 4% revenue risk
● Operationalize data privacy protection
● Inventory and map personal information at
scale
● Scale and automate privacy compliance
processes
Data Governance Imperatives
• New business needs, new data access
operating models
• Balance self service data access with
compliance & privacy
• Scale and automate data governance
Use Case: Discover Privacy Data , Classify, and Analyze
● Discovery PI, not just PII
● Monitor changes
● Apply notifications, rules and filters
Use Case: Trust the enforcement of data policies
● Review and Collaborate discovery results
● Monitor for changes
● Correct discrepancies
● ML from user input
Use Case: Operationalize Data Subject Requests
● Find data by person
● Find data in proximity
● Redaction of irrelevant data
● Generate IT and Consumer reports of personal data
● Trigger deletion workflows
● Validate deletion ongoing
Use Case: Collaborate with other Enterprise Capabilities
● Business Glossary
● IT Service Management
● Customer Portals
● Reporting Systems
● Labeling and Tagging
● Open API Driven Architecture
Applying Data Privacy to Data Governance
Better Together
● Bottom up data discovery allows you to trust your
metadata
● Combined Business Awareness and Collaboration to
answer a business need
● Confirm what users expect in the data
● Enrich technical with business and operational metadata
● Operationalize Data Subject Request
● Enforce Consent and Agreements
● Propagate Metadata for Security and Access Governance
Data Steward of all Stripes Need ML-driven Data Intelligence
PI / PII Data Discovery
Find, Inventory and Map PII and Contextual PI (Personal Information)
Data GovernanceFind Understand Trust
Data Stewards & Compliance Officers
Programmatic
Integration
Integration Ecosystem
APIs
Core Discovery, Indexing, Machine Learning & AI:
Machine Learning Optimization| Entity Extraction | Entity Resolution | Clustering | Entity Correlation | Metadata Capture | Confidence
Scoring| (Re)-identifiability Scoring | Deep Learning | Supervised Learning | Index Harvesting| Unstructured Analysis
EncryptionLabelingDe-IdentificationData Gov.
IaaS Access
(Future)
Service
Management
Cloud/SaaS ApplicationsBig Data & NoSQLStructured DatabasesFiles
Thank You
Nimrod Vax
Co-Founder & CPO, BigiD

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Collibra Data Citizen '19 - Bridging Data Privacy with Data Governance

  • 1. ©2019 Collibra Inc Bridging Data Privacy with Data Governance Toward a Set of Best Practices Nimrod, Vax, Chief Product Officer & Co-Founder, BigID Joaquin Sufuentes, Lead Architect, Metadata Management & Personal Information Protection, Enterprise Data Management, Intel IT May 23, 2019
  • 2. Presenters Nimrod Vax, Co-Founder and CPO, BigID Nimrod has over 15 years of experience in enterprise security software and identity management serving in various capacities ranging from engineering, product and business management. Prior to founding BigID, Nimrod served as VP Product Management, Product Line Manager for CA Identity Management product line and as an advisor to security startups in the area of identity management and user behavior analytics.Nimrod holds a BSc. in Computer Science and a Masters of Business Administration with specialization in Marketing Management. Joaquin Sufuentes, Lead Architect, Metadata Management & Personal Information Protection, Enterprise Data Management, Intel IT Joaquin leads the initiative to turn Intel’s data from the new oil to a renewable and reusable resource by instilling better metadata management & personal information protection methods and practices. Prior to this, Joaquin was Service Owner for Enterprise Data Management; led the Data Architecture team at Intel, as well as Enterprise Architecture for Infrastructure Services and Service Management. Joaquin joined Intel through the acquisition of Trillium Digital Systems where he was the IT Director.
  • 3. BigID Company at a Glance FOUNDED 2016 MVP 2017 $46M RAISED SEED+A+B RAMP 7x YoY Growth 90EMPLOYEES RECOGNITIONS 2018 GARTNER COOL VENDOR FOR PRIVACY 2018 RSA INNOVATION SANDBOX WINNER 2018 CB INSIGHTS BREAKTHROUGH COMPANY 2018 NETWORK PRODUCTS GOLD New York I Tel Aviv I London I Stockholm I Zurich I Singapore | Sao Paolo BigID Privileged and Confidential
  • 4. BigID Redefines Personal Data Protection & Privacy Find PI Not just PII Inventory Data By Person Automates Privacy, Data Risk Compliance Petabyte Scale & Accuracy Look Across Any Data Traditional Classification & Catalog Tools Can’t Address Privacy Use Cases
  • 5. Enabling Data Governance For Privacy Privacy Imperatives ● GDPR introduced a 4% revenue risk ● Operationalize data privacy protection ● Inventory and map personal information at scale ● Scale and automate privacy compliance processes Data Governance Imperatives • New business needs, new data access operating models • Balance self service data access with compliance & privacy • Scale and automate data governance
  • 6. Use Case: Discover Privacy Data , Classify, and Analyze ● Discovery PI, not just PII ● Monitor changes ● Apply notifications, rules and filters
  • 7. Use Case: Trust the enforcement of data policies ● Review and Collaborate discovery results ● Monitor for changes ● Correct discrepancies ● ML from user input
  • 8. Use Case: Operationalize Data Subject Requests ● Find data by person ● Find data in proximity ● Redaction of irrelevant data ● Generate IT and Consumer reports of personal data ● Trigger deletion workflows ● Validate deletion ongoing
  • 9. Use Case: Collaborate with other Enterprise Capabilities ● Business Glossary ● IT Service Management ● Customer Portals ● Reporting Systems ● Labeling and Tagging ● Open API Driven Architecture
  • 10. Applying Data Privacy to Data Governance Better Together ● Bottom up data discovery allows you to trust your metadata ● Combined Business Awareness and Collaboration to answer a business need ● Confirm what users expect in the data ● Enrich technical with business and operational metadata ● Operationalize Data Subject Request ● Enforce Consent and Agreements ● Propagate Metadata for Security and Access Governance
  • 11. Data Steward of all Stripes Need ML-driven Data Intelligence PI / PII Data Discovery Find, Inventory and Map PII and Contextual PI (Personal Information) Data GovernanceFind Understand Trust Data Stewards & Compliance Officers Programmatic Integration
  • 12. Integration Ecosystem APIs Core Discovery, Indexing, Machine Learning & AI: Machine Learning Optimization| Entity Extraction | Entity Resolution | Clustering | Entity Correlation | Metadata Capture | Confidence Scoring| (Re)-identifiability Scoring | Deep Learning | Supervised Learning | Index Harvesting| Unstructured Analysis EncryptionLabelingDe-IdentificationData Gov. IaaS Access (Future) Service Management Cloud/SaaS ApplicationsBig Data & NoSQLStructured DatabasesFiles
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