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Managing privacy and
compliance for API data
Detecting and
Securing PII
2
Hello!
I am Rob Dickinson
CTO at Resurface Labs
@robfromboulder rob@resurface.io
The challenge
Anti-patterns
Strategies
Architecture Patterns
Agenda
API monitoring is the key to better APIs
4
Perimeter
Whack-a-Mole
Stronger API
Services
…but this requires working with PII
New York
JULY
Australia
SEPTEMBER
Singapore
APRIL
Helsinki & North
MARCH
Paris
DECEMBER
London
OCTOBER
Jakarta
FEBRUARY
Hong Kong
AUGUST
JUNE
India
MAY
Check out our API Conferences here
50+ events since 2012, 14 countries, 2,000+ speakers, 50,000+ attendees,
300k+ online community
Want to talk at one of our conferences?
Apply to speak here
Common emotions and attitudes regarding PII
5
Insecure handling of PII is getting expensive
6
💣 Challenges to detecting & securing PII
• Tightening regulations
• Rapid rate of change
• Expanding definitions of PII
• So many vendors/platforms
• Inability to change apps or
databases in many cases
• Many different techniques for
security and privacy protection
7
• No “easy button”
• High cost of compliance
• Security by default?
• Legit data sharing
• Implementing revocation
• Handling zero-day failures/attacks
• Getting developer attention 😬
💥 Anti-patterns for PII security and user privacy
• “No PII here” strategy
• “All data is PII” strategy
• Impossible approval process
• “God mode” administrators
• Failing to get user consent
• Undisclosed 3rd party transfers
8
• The honeypot database
• Overly destructive transforms
• One-time masking (on write)
• Perimeter security will be enough
• Just encrypt at disk/volume level
• Production-only configurations
(non-repeatable processes)
9
🚀 Strategies for discovering/securing PII at runtime
• People are the weakest link
• Optimize for number of
conspirators required
• Enforce narrowest group-level and
user-level permissions at runtime
• Regularly audit databases and
permissions
10
• Data needs to be siloed, and
microservices are great for this!
• Optimize for number of silos that
must be breached
• Keep data close to source 😀
• Expire data automatically 😍
• Monitor PII transfer 🤩
• Virtualize access to master data
records through query layer 🥳
FOR PEOPLE FOR TECH
Query data in place with Trino
12
What kinds of data sources?
Accumulo, BigQuery,
Cassandra, ClickHouse, Druid,
Elastic, Iceberg, Hive, Kafka,
Kinesis, Kudu, Mongo, MySQL,
Oracle, Phoenix, Pinot,
Postgresql, Prometheus, Redis,
SQL Server
…and of course Resurface
Virtualized data access with Trino and Resurface
13
• Trino for distributed queries
• Resurface for API system of record
• Column selection, row selection,
tokenizing, masking, sampling and
map/reduce through views
• User and group-level GRANTs
• Views can inherit from other views
• Views apply retroactively
• No changes to existing databases
🚀 Separation between physical & virtual access
Physical schemas – CREATE TABLE
• Raw data records
• Persistent storage
• System specific
• Difficult to change
• Two-person rule for admins 🤩
14
Virtual schemas – CREATE VIEW
• Specific columns, rows
• In-memory computation
• Audience specific 🥳
• Easy to change (retroactively)
• Single-user access w/log
Monitoring PII leaks with Resurface
15
Continuous API intelligence with Resurface
16
• Purpose built for API monitoring & OWASP top 10
• Security and quality checks for REST and GraphQL
• Capture API calls from network, gateway or microservice
• Native alerting for Slack and Teams
• Built on Trino
Security is necessary for new & creative uses of PII
17
18
Thank you!
Any Questions?
You can reach me after this talk:
@robfromboulder rob@resurface.io
New York
JULY
Australia
SEPTEMBER
Singapore
APRIL
Helsinki & North
MARCH
Paris
DECEMBER
London
OCTOBER
Jakarta
FEBRUARY
Hong Kong
AUGUST
JUNE
India
MAY
Check out our API Conferences here
50+ events since 2012, 14 countries, 2,000+ speakers, 50,000+ attendees,
300k+ online community
Want to talk at one of our conferences?
Apply to speak here

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apidays LIVE Paris 2021 - Detecting and Protecting PII by Rob Dickinson, Resurface Labs

  • 1. Managing privacy and compliance for API data Detecting and Securing PII
  • 2. 2 Hello! I am Rob Dickinson CTO at Resurface Labs @robfromboulder rob@resurface.io
  • 4. API monitoring is the key to better APIs 4 Perimeter Whack-a-Mole Stronger API Services …but this requires working with PII
  • 5. New York JULY Australia SEPTEMBER Singapore APRIL Helsinki & North MARCH Paris DECEMBER London OCTOBER Jakarta FEBRUARY Hong Kong AUGUST JUNE India MAY Check out our API Conferences here 50+ events since 2012, 14 countries, 2,000+ speakers, 50,000+ attendees, 300k+ online community Want to talk at one of our conferences? Apply to speak here
  • 6. Common emotions and attitudes regarding PII 5
  • 7. Insecure handling of PII is getting expensive 6
  • 8. 💣 Challenges to detecting & securing PII • Tightening regulations • Rapid rate of change • Expanding definitions of PII • So many vendors/platforms • Inability to change apps or databases in many cases • Many different techniques for security and privacy protection 7 • No “easy button” • High cost of compliance • Security by default? • Legit data sharing • Implementing revocation • Handling zero-day failures/attacks • Getting developer attention 😬
  • 9. 💥 Anti-patterns for PII security and user privacy • “No PII here” strategy • “All data is PII” strategy • Impossible approval process • “God mode” administrators • Failing to get user consent • Undisclosed 3rd party transfers 8 • The honeypot database • Overly destructive transforms • One-time masking (on write) • Perimeter security will be enough • Just encrypt at disk/volume level • Production-only configurations (non-repeatable processes)
  • 10. 9
  • 11. 🚀 Strategies for discovering/securing PII at runtime • People are the weakest link • Optimize for number of conspirators required • Enforce narrowest group-level and user-level permissions at runtime • Regularly audit databases and permissions 10 • Data needs to be siloed, and microservices are great for this! • Optimize for number of silos that must be breached • Keep data close to source 😀 • Expire data automatically 😍 • Monitor PII transfer 🤩 • Virtualize access to master data records through query layer 🥳 FOR PEOPLE FOR TECH
  • 12.
  • 13. Query data in place with Trino 12 What kinds of data sources? Accumulo, BigQuery, Cassandra, ClickHouse, Druid, Elastic, Iceberg, Hive, Kafka, Kinesis, Kudu, Mongo, MySQL, Oracle, Phoenix, Pinot, Postgresql, Prometheus, Redis, SQL Server …and of course Resurface
  • 14. Virtualized data access with Trino and Resurface 13 • Trino for distributed queries • Resurface for API system of record • Column selection, row selection, tokenizing, masking, sampling and map/reduce through views • User and group-level GRANTs • Views can inherit from other views • Views apply retroactively • No changes to existing databases
  • 15. 🚀 Separation between physical & virtual access Physical schemas – CREATE TABLE • Raw data records • Persistent storage • System specific • Difficult to change • Two-person rule for admins 🤩 14 Virtual schemas – CREATE VIEW • Specific columns, rows • In-memory computation • Audience specific 🥳 • Easy to change (retroactively) • Single-user access w/log
  • 16. Monitoring PII leaks with Resurface 15
  • 17. Continuous API intelligence with Resurface 16 • Purpose built for API monitoring & OWASP top 10 • Security and quality checks for REST and GraphQL • Capture API calls from network, gateway or microservice • Native alerting for Slack and Teams • Built on Trino
  • 18. Security is necessary for new & creative uses of PII 17
  • 19. 18 Thank you! Any Questions? You can reach me after this talk: @robfromboulder rob@resurface.io
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