Diese Präsentation wurde erfolgreich gemeldet.
Die SlideShare-Präsentation wird heruntergeladen. ×

The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Resilience

Anzeige
Anzeige
Anzeige
Anzeige
Anzeige
Anzeige
Anzeige
Anzeige
Anzeige
Anzeige
Anzeige
Anzeige

Hier ansehen

1 von 22 Anzeige

The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Resilience

Herunterladen, um offline zu lesen

Change is hard, especially in response to negative stimuli or what is perceived as negative stimuli. So organizations need to reframe how they think about data privacy, security and governance, treating them as value centers to 1) ensure enterprise data can flow where it needs to, 2) prevent – not just react – to internal and external threats, and 3) comply with data privacy and security regulations.

Working together, these roles can accelerate faster access to approved, relevant and higher quality data – and that means more successful use cases, faster speed to insights, and better business outcomes. However, both new information and tools are required to make the shift from defense to offense, reducing data drama while increasing its value.

Join us for this panel discussion with experts in these fields as they discuss:

- Recent research about where data privacy, security and governance stand

- The most valuable enterprise data use cases

- The common obstacles to data value creation

- New approaches to data privacy, security and governance

- Their advice on how to shift from a reactive to resilient mindset/culture/organization

You’ll be educated, entertained and inspired by this panel and their expertise in using the data trifecta to innovate more often, operate more efficiently, and differentiate more strategically.

Change is hard, especially in response to negative stimuli or what is perceived as negative stimuli. So organizations need to reframe how they think about data privacy, security and governance, treating them as value centers to 1) ensure enterprise data can flow where it needs to, 2) prevent – not just react – to internal and external threats, and 3) comply with data privacy and security regulations.

Working together, these roles can accelerate faster access to approved, relevant and higher quality data – and that means more successful use cases, faster speed to insights, and better business outcomes. However, both new information and tools are required to make the shift from defense to offense, reducing data drama while increasing its value.

Join us for this panel discussion with experts in these fields as they discuss:

- Recent research about where data privacy, security and governance stand

- The most valuable enterprise data use cases

- The common obstacles to data value creation

- New approaches to data privacy, security and governance

- Their advice on how to shift from a reactive to resilient mindset/culture/organization

You’ll be educated, entertained and inspired by this panel and their expertise in using the data trifecta to innovate more often, operate more efficiently, and differentiate more strategically.

Anzeige
Anzeige

Weitere Verwandte Inhalte

Ähnlich wie The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Resilience (20)

Weitere von DATAVERSITY (20)

Anzeige

Aktuellste (20)

The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Resilience

  1. 1. Data without the drama™ Capital One The Data Trifecta WEBINAR Privacy, Security & Governance Race from Reactivity to Resilience Awah Teh Vice President of Data Governance & Privacy Engineering Joseph Sommer Data & Analytics, Managing Partner Steve Prestidge Chief Commercial & Innovation Officer EY Anonos
  2. 2. © Anonos 2023 | OIL Single-Use Asset Increase Innovation & Profits by Several Magnitudes 2
  3. 3. © Anonos 2023 | W a t e r M u l t i - U s e A s s e t W a t e r M u l t i - U s e A s s e t W a te r M u lt i- U s e A s s e t W a t e r M u lt i- U s e A s s e t W a t e r M u l t i - U s e A s s e t W a t e r M u l t i - U s e A s s e t W a t e r M u l t i - U s e A s s e t W ater M ulti-Use Asset W ater Multi-Use Asset Water Multi-Use Asset Water Multi-Use Asset Water Multi-Use Asset Water Multi-Use Asset Water Multi-Use Asset WATER Generative, Multi-Use Asset OIL Single-Use Asset VS. Increase Innovation & Profits by Several Magnitudes 3
  4. 4. © Anonos 2023 | Misconception 4 Reactive versus proactive enterprise functions Historically, organizations have viewed “reactive” functions like privacy, security, and governance as being antithetical to “proactive” functions such as analytics and data innovation.
  5. 5. © Anonos 2023 | Reality 5 Reactive and proactive functions share dependencies Privacy, security, and governance are needed to achieve both reactive and proactive functions: the underpinning mechanisms are the same.
  6. 6. © Anonos 2023 | Enterprise data governance efforts have both proactive and reactive benefits Top reported benefits of data governance initiatives highlight maximizing the business utility of data 38% 37% 30% 26% 26% 25% 24% 23% 23% 17% 13% 1% 2% 8% Faster access to relevant data Higher quality of data/insight Fewer IT-related bottlenecks Accelerated development and testing Strengthened data access governance Improved training sets for Al/ML models Facilitated collaboration Streamlined compliance and legal capabilities Reduced technology configuration time Reduced repetitive or redundant efforts Lowered skills/ training barriers to data use Other Data governance initiatives have not added value to my organization My organization has no data governance initiatives Source: 451 Research's Voice of the Enterprise: Data & Analytics, Data Management & Analytics 2021 Faster access to relevant data Higher quality of data/insight 6
  7. 7. © Anonos 2023 | Despite interdependencies, businesses view privacy and security as barriers Data privacy and data security are the top reported challenges in getting a more "unified" view of data 54% 43% 30% 26% 26% 26% 25% 25% 24% 24% 23% 19% 17% 16% 15% <1% 3% Data privacy requirements Data security requirements Variety of data sources Number of data silos Legacy architecture or applications Skills shortage Multicloud or hybrid architecture Open source management Streaming/real-time requirements Reliance on hand-coding Volume of data Lack of executive buy-in Self-service demand for data Lack of multi-domain view/mastering Lack of budget Other None of the above Source: 451 Research's Voice of the Enterprise: Data & Analytics, Data Management & Analytics 2021 Data privacy requirements Data security requirements 7
  8. 8. © Anonos 2023 | 41.3% 24.6% 11.3% 11.3% 8.5% 0.3% 2.7% 0.0% IT (general) Information security Compliance Dedicated data privacy team Risk management Other (please specify) No group or function holds primary responsibility for data privacy and data protection Don't know IT (general) Information security Which group in your organization holds the primary responsibility for managing data privacy and data protection requirements? Source: 451 Research's Voice of the Enterprise: Data & Analytics, Data Management & Analytics 2021 8
  9. 9. © Anonos 2023 | Point Solutions Don’t Eliminate the Tradeoff Between Data Protection & Utility 9 Data Protection Techniques Statutory Pseudonymization Masking K-Anonymity Tokenization Synthetic Data Cleartext Homomorphic Encryption (HE) Trusted Execution Environment (TEE) Cohorts/Clusters Generalization Differential Privacy Multi-Party Computing (MPC) Cleartext with Access Controls Protects Data in Use YES YES YES YES YES NO YES YES YES YES YES NO YES Reconciles Conflicts Between Protection and Accuracy YES NO NO NO MIXED NO Supports AI and Machine Learning YES YES YES NO YES NO NO YES NO YES Supports Protected Data Sharing and Multi-Cloud Processing YES NO YES YES YES YES YES YES YES YES YES Utility Comparable to Cleartext MIXED MIXED 9
  10. 10. © Anonos 2023 | 3 Analytics, ML and AI Model Building 5 Sharing with Service Providers 6 Sharing for Monetization 7 Sharing for Enrichment 1 Test, Dev and Demo Data 2 Internal Data Sharing Data Use Case Maturity Curve 4 Analytics, ML and AI Model Deployment 7 Universal Data Use Cases 10 10
  11. 11. © Anonos 2023 | Privacy Platform Approach 11 Test, Dev and Demo Data Analytics, AI/ML Model Building Analytics, AI/ML Model Deployment Internal Data Sharing Sharing with Service Providers Sharing for Monetization Sharing for Enrichment Source Data 1 2 3 4 5 6 7 7 UNIVERSAL DATA USE CASES Privacy Platform Approach Enables Integrated Privacy/Security/Governance 11
  12. 12. © Anonos 2023 | OIL Single-Use Asset Increase Innovation & Profits by Several Magnitudes 12
  13. 13. © Anonos 2023 | W a t e r M u l t i - U s e A s s e t W a t e r M u l t i - U s e A s s e t W a te r M u lt i- U s e A s s e t W a t e r M u lt i- U s e A s s e t W a t e r M u l t i - U s e A s s e t W a t e r M u l t i - U s e A s s e t W a t e r M u l t i - U s e A s s e t W ater M ulti-Use Asset W ater Multi-Use Asset Water Multi-Use Asset Water Multi-Use Asset Water Multi-Use Asset Water Multi-Use Asset Water Multi-Use Asset WATER Generative, Multi-Use Asset OIL Single-Use Asset VS. Increase Innovation & Profits by Several Magnitudes 13
  14. 14. Panel Discussion Awah Teh Vice President of Data Governance & Privacy Engineering Joseph Sommer Data & Analytics, Managing Partner Steve Prestidge Chief Commercial & Innovation Officer WEBINAR Capital One EY Anonos
  15. 15. © Anonos 2023 | What do you think about characterizing Data as the “New Water” versus the “New Oil”? Do you think approaching privacy, security & governance as interconnected functions can help to create generative data value? 15 1
  16. 16. © Anonos 2023 | Increase Innovation & Profits by Several Magnitudes W a t e r M u l t i - U s e A s s e t W a t e r M u l t i - U s e A s s e t W a te r M u lt i- U s e A s s e t W a t e r M u lt i- U s e A s s e t W a t e r M u l t i - U s e A s s e t W a t e r M u l t i - U s e A s s e t W a t e r M u l t i - U s e A s s e t W ater M ulti-Use Asset W ater Multi-Use Asset Water Multi-Use Asset Water Multi-Use Asset Water Multi-Use Asset Water Multi-Use Asset Water Multi-Use Asset WATER Generative, Multi-Use Asset OIL Single-Use Asset VS. 16
  17. 17. © Anonos 2023 | What is the role of Collaboration, Controls, and Customization for turning “No” into “Yes.” 17 2
  18. 18. © Anonos 2023 | What are the impediments to enterprises shifting from data loss prevention to data value maximization, resilience, and sustainability? How would these shifts augment or undermine the path of current programs?” 18 3
  19. 19. © Anonos 2023 | What benefits have you seen from converging data privacy, security, and governance to treat them as value centers and from arming them with new technologies? What benefits do you think enterprises can realize from adopting this approach? 19 4
  20. 20. © Anonos 2023 | With regulatory/legal frameworks changing to address different aspects of privacy & security, what can enterprises do to stay ahead? 20 5
  21. 21. © Anonos 2023 | Please provide a few pointers on what immediate actions to take and share some lessons learned. 21 6
  22. 22. © Anonos 2023 | 22 Anonos Data Embassy dynamic de-identification, pseudonymization and anonymization systems, methods and devices are protected by an intellectual property portfolio that includes but is not limited to: Patent Nos. CN ZL201880044101.5 (2022); JP 7,064,576 (2022); CA 3,061,638 (2022); AU 2018258656 (2021); US 11,030,341 (2021); EU 3,063,691 – Austria, Belgium, Croatia, France, Germany, Ireland, Italy, Luxembourg, Netherlands, Switzerland and United Kingdom (2020); CA 2,975,441 (2020); US 10,572,684 (2020); CA 2,929,269 (2019); US 10,043,035 (2018); US 9,619,669 (2017); US 9,361,481 (2016); US 9,129,133 (2015); US 9,087,216 (2015); and US 9,087,215 (2015); plus 70+ additional domestic and international patent assets. Anonos, Data Embassy, Variant Twin and Data Without the Drama are trademarks of Anonos Inc., protected by federal and international statutes and treaties. 22

×