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S2E31: "Leveraging a Privacy Ontology to Scale Privacy Processes" with Steve Hickman (Epistimis)
Manage episode 379361185 series 3407760
This week’s guest is Steve Hickman, the founder of Epistimis, a privacy-first process design tooling startup that evaluate rules and enables the fixing of privacy issues before they ever take effect. In our conversation, we discuss: why the biggest impediment to protecting and respecting privacy within organizations is the lack of a common language; why we need a common Privacy Ontology in addition to a Privacy Taxonomy; Epistimis' ontological approach and how it leverages semantic modeling for privacy rules checking; and, examples of how Epistimis Privacy Design Process tooling complements privacy tech solutions on the market, not compete with them.
Topics Covered:
- How Steve’s deep engineering background in aerospace, retail, telecom, and then a short stint at Meta, led him to found Epistimis
- Why its been hard for companies to get privacy right at scale
- How Epistimis leverages 'semantic modeling' for rule checking and how this helps to scale privacy as part of an ontological approach
- The definition of a Privacy Ontology and Steve's belief that all should use one for common understanding at all levels of the business
- Advice for designers, architects, and developers when it comes to creating and implementing privacy ontology, taxonomies & semantic models
- How to make a Privacy Ontology usable
- How Epistimis' process design tooling work with discovery and mapping platforms like BigID & Secuvy.ai
- How Epistimis' process design tooling work along with a platform like Privado.ai, which scans a company's product code and then surfaces privacy risks in the code and detects processing activities for creating dynamic data maps
- How Epistimis' process design tooling works with PrivacyCode, which has a library of privacy objects, agile privacy implementations (e.g., success criteria & sample code), and delivers metrics on the privacy engineering process is going
- Steve calls for collaborators who are interested in POCs and/or who can provide feedback on Epistimis' PbD processing tooling
- Steve describes what's next on the Epistimis roadmap, including wargaming
Resources Mentioned:
- Read Dan Solove's article, "Data is What Data Does: Regulating Based on Harm and Risk Instead of Sensitive Data"
Guest Info:
Privado.ai
Privacy assurance at the speed of product development. Get instant visibility w/ privacy code scans.
Shifting Privacy Left Media
Where privacy engineers gather, share, & learn
Disclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.
Copyright © 2022 - 2024 Principled LLC. All rights reserved.
章
1. S2E31: "Leveraging a Privacy Ontology to Scale Privacy Processes" with Steve Hickman (Epistimis) (00:00:00)
2. Introducing Steve Hickman, Founder of Epistimis: Privacy Process Design Tooling (00:02:21)
3. Why its been hard for companies to get privacy right at scale (00:07:14)
4. How Epistimis leverages 'semantic modeling' for rule checking and how this helps to scale privacy as part of an ontological approach (00:12:25)
5. Definition of an 'ontology' and why a privacy ontology is necessary for scaling privacy at large orgs (00:19:38)
6. Steve's advice for designers, architects, and developers when it comes to creating and implementing a privacy ontology, taxonomy, and semantic model to get started in their orgs (00:26:08)
7. Steve explains how Epistimis' process design tooling work with discovery and mapping platforms like BigID & Secuvy.ai (00:34:37)
8. Steve explains how Epistimis' process design tooling work along with a platform like Privado.ai, which scans a company's product code and then surfaces privacy risks in the code and detects processing activities for creating dynamic data maps (00:37:41)
9. Steve explains how Epistimis' process design tooling works w/ PrivacyCode, which has a library of privacy objects, agile privacy implementations (e.g., success criteria & sample code), and delivers metrics on the privacy engineering process is going (00:39:51)
10. Steve calls for collaborators who are interested in POCs and/or who can provide feedback on Epistimis' PbD processing tooling (00:42:00)
11. Steve describes what's next on the Epistimis roadmap, including wargaming capabilities (00:44:25)
63 つのエピソード
Manage episode 379361185 series 3407760
This week’s guest is Steve Hickman, the founder of Epistimis, a privacy-first process design tooling startup that evaluate rules and enables the fixing of privacy issues before they ever take effect. In our conversation, we discuss: why the biggest impediment to protecting and respecting privacy within organizations is the lack of a common language; why we need a common Privacy Ontology in addition to a Privacy Taxonomy; Epistimis' ontological approach and how it leverages semantic modeling for privacy rules checking; and, examples of how Epistimis Privacy Design Process tooling complements privacy tech solutions on the market, not compete with them.
Topics Covered:
- How Steve’s deep engineering background in aerospace, retail, telecom, and then a short stint at Meta, led him to found Epistimis
- Why its been hard for companies to get privacy right at scale
- How Epistimis leverages 'semantic modeling' for rule checking and how this helps to scale privacy as part of an ontological approach
- The definition of a Privacy Ontology and Steve's belief that all should use one for common understanding at all levels of the business
- Advice for designers, architects, and developers when it comes to creating and implementing privacy ontology, taxonomies & semantic models
- How to make a Privacy Ontology usable
- How Epistimis' process design tooling work with discovery and mapping platforms like BigID & Secuvy.ai
- How Epistimis' process design tooling work along with a platform like Privado.ai, which scans a company's product code and then surfaces privacy risks in the code and detects processing activities for creating dynamic data maps
- How Epistimis' process design tooling works with PrivacyCode, which has a library of privacy objects, agile privacy implementations (e.g., success criteria & sample code), and delivers metrics on the privacy engineering process is going
- Steve calls for collaborators who are interested in POCs and/or who can provide feedback on Epistimis' PbD processing tooling
- Steve describes what's next on the Epistimis roadmap, including wargaming
Resources Mentioned:
- Read Dan Solove's article, "Data is What Data Does: Regulating Based on Harm and Risk Instead of Sensitive Data"
Guest Info:
Privado.ai
Privacy assurance at the speed of product development. Get instant visibility w/ privacy code scans.
Shifting Privacy Left Media
Where privacy engineers gather, share, & learn
Disclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.
Copyright © 2022 - 2024 Principled LLC. All rights reserved.
章
1. S2E31: "Leveraging a Privacy Ontology to Scale Privacy Processes" with Steve Hickman (Epistimis) (00:00:00)
2. Introducing Steve Hickman, Founder of Epistimis: Privacy Process Design Tooling (00:02:21)
3. Why its been hard for companies to get privacy right at scale (00:07:14)
4. How Epistimis leverages 'semantic modeling' for rule checking and how this helps to scale privacy as part of an ontological approach (00:12:25)
5. Definition of an 'ontology' and why a privacy ontology is necessary for scaling privacy at large orgs (00:19:38)
6. Steve's advice for designers, architects, and developers when it comes to creating and implementing a privacy ontology, taxonomy, and semantic model to get started in their orgs (00:26:08)
7. Steve explains how Epistimis' process design tooling work with discovery and mapping platforms like BigID & Secuvy.ai (00:34:37)
8. Steve explains how Epistimis' process design tooling work along with a platform like Privado.ai, which scans a company's product code and then surfaces privacy risks in the code and detects processing activities for creating dynamic data maps (00:37:41)
9. Steve explains how Epistimis' process design tooling works w/ PrivacyCode, which has a library of privacy objects, agile privacy implementations (e.g., success criteria & sample code), and delivers metrics on the privacy engineering process is going (00:39:51)
10. Steve calls for collaborators who are interested in POCs and/or who can provide feedback on Epistimis' PbD processing tooling (00:42:00)
11. Steve describes what's next on the Epistimis roadmap, including wargaming capabilities (00:44:25)
63 つのエピソード
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