Attending the 18th Annual CDOIQ Symposium? Join the Inrupt team & CEO John Bruce at booth 2 for a book giveaway of Bruce Schneier's "A Hacker's Mind" and a discussion of the Next Phase of the Web today at 05:00 PM. RSVP through the Whova event app. #CDOIQ #CDOIQ2024
About us
Sir Tim Berners-Lee, inventor of the World Wide Web, created Solid to realize the web as he fully envisioned it. Sir Tim co-founded Inrupt to provide enterprise-grade Solid software and services. Inrupt’s data infrastructure software enables enterprises and governments to deploy and manage Solid-compliant solutions. Our products are the expression of decades of experience in security, compliance, and operational excellence.
- Website
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https://inrupt.com/
External link for Inrupt
- Industry
- Technology, Information and Internet
- Company size
- 51-200 employees
- Headquarters
- Boston, Massachusetts
- Type
- Privately Held
- Founded
- 2017
- Specialties
- opensource and web decentralization
Locations
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Primary
1 Marina Park Dr
Boston, Massachusetts 02210, US
Employees at Inrupt
Updates
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How can the World Wide Web solve today’s greatest data challenges? Join Inrupt CEO John Bruce and cybersecurity expert and author Bruce Schneier at #CDOIQ2024 to discover how the web’s evolution is the key to an innovative, secure and compliant future of data. Join the session today at 3:15 in the Harvard Square Room, or stop by booth 2 in the Amesbury Ballroom to learn more. See you there! Set up a meeting with our team: https://hubs.li/Q02GG32y0 #CDOIQ
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Our Chief of Security Architecture Bruce Schneier weighs in on the advantages and limitations of Apple's recent AI announcement. https://hubs.li/Q02FHXF70
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Join us at #CDOIQ2024 in Cambridge next week! Inrupt CEO John Bruce and Chief Security Officer Bruce Schneier will explore how the web's evolution can help governments and businesses transform data relationships with citizens, users and customers. Participants will leave with a unique understanding of the gaps in today’s data practices, ecosystems, and infrastructure, as well as the most promising pathways to an innovative, compliant and secure future of data. https://hubs.li/Q02FJrqd0
Session 6-B – The 18th Annual CDOIQ Symposium
https://cdoiq2024.org
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"To my mind, these require less of a traditional antitrust approach, and more of an approach based on developing a system-wide architecture of data standards, rights and obligations that leads to a good overall set of incentives in cyberspace. [...]The open technical standards that can support this exist already - for example Sir Tim Berners-Lee's Solid protocol, which is being made ready for nation-scale deployment by Inrupt, the start-up he has established alongside the open standard." Economist Tony Curzon Price emphasizes the need for web standards that allow for meaningful and granular consent in data sharing. https://lnkd.in/emhitQ6N
What does the AI bubble tell us about the antitrust challenges ahead?
metakarma.org
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Apple's recent AI announcement highlights the importance of safely processing user data and opens up a wider conversation on the true potential of personal AI agents. https://hubs.li/Q02DXfRs0
How Data Wallets Can Unlock the Potential of Personal AI
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Our June newsletter is out today! Check it out for the latest on how AI is shifting the conversation around data, and hear from our CEO on why business leaders should embrace nonlinear innovation. https://hubs.li/Q02DsHvw0 Subscribe here: https://hubs.li/Q02DsFfq0
Paths to AI Readiness, Accuracy and Safety
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How has data protection evolved? Our Vice President of Trust and Digital Ethics Davi Ottenheimer highlights how current data privacy regulations are not fully able to guard against AI risks. https://hubs.li/Q02CjqPM0
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AI is becoming an essential component of most organizations' strategies—but this approach exposes companies to security breaches. Learn how promising new frameworks like Solid can help mitigate these risks. https://hubs.ly/Q02C6t2v0
Top 3 AI Breaches & How to Avoid Them with Solid
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Our VP of Trust and Digital Ethics Davi Ottenheimer clears up some myths around generative AI in diginomica: "The focus should be on acquiring high-quality, relevant data rather than indiscriminately gathering vast quantities of information." https://hubs.li/Q02BXrlz0
Common gen AI misconceptions for the enterprise - some of the juicier examples