Antigranular

Secure and privacy-preserving data sharing will be the most impactful accelerator of business success.

We are building the toolsets to enable transformational trust-worthy technologies. Come and join us on this journey.

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Oblivious

💡 As the SaaS landscape continues to evolve, what are the pivotal security and compliance issues that we all need to be aware of?

🎬 Join us for an insightful panel discussion with Christian Reimsbach Kounatze (OECD - OCDE), Simon Gallagher (Microsoft), Paul O'Neill (Intel Corporation), and Phil Cheetham (Former VP of Amazon Web Services (AWS) EC2, Engenuitee Labs), and Jack F. (Oblivious) from the Eyes-Off Data Summit in Dublin.

During the discussion, the speakers explored the future of SaaS, the potential use cases, and engaged in conversations about addressing security and compliance issues. They also delved into understanding the role of cloud service providers and discussed the paradigm shift brought about by Privacy Enhancing Technologies (PETs).

✔️ Watch the complete conversation here: https://lnkd.in/dVFuzs_A

Special thanks go to all our panellists for their enlightening insights and candid talk.

Intrigued by this topic? Check out our blog on the Future of SaaS: https://lnkd.in/d9keDmge

🔔 Don’t forget to subscribe to our YouTube channel and hit that notifications bell to stay in the loop as we release more discussions from the event.

🔐 From $3 Trillion to $10 Trillion: How Privacy and Innovation Will Unlock the Future of SaaS

How do you envision the role of trust, security, and privacy in the evolution of the booming SaaS market? 🌐

Our latest blog dives deep into the current state of the SaaS market, the value of your data, and the role AI technologies play in heightening privacy risks. We delve into the challenges faced with data security, and how privacy-enhancing technologies (PETs) are transforming the landscape.

Here's a quick rundown:
- 🔑 Trust brokers play a vital role in strengthening online businesses.
- 📊 The data economy allows companies to monetize customer data, but it comes with privacy risks.
- ⚠️ AI technologies: Privacy risks are increasing with the advancement of AI.
- ⚙️ SaaS models allow various integrations, each posing a potential security breach. Trust in SaaS companies is paramount.
- 📄 GDPR and CCPA: Current governance standards are still largely unproven and often lead to litigation.
- 📡 Privacy-enhancing technologies (PETs) like Secure Enclaves and Differential Privacy could transform this industry.
- 💡 Secure Enclaves: Shield data even during computation, right from traditional shielding of data at rest or in transit.
- 😎 Differential Privacy: Adds noise to maintain data utility while anonymising individual information.
- 📈 Transforming the future landscape of the SaaS market through trust, privacy, and innovation.

The stakes are high: stakeholder trust, privacy, security, and a sizeable leap in the SaaS industry. The technology is already here.

Ready to push towards a comprehensive privacy infrastructure that cultivates trust and helps harness the remarkable $3 trillion SaaS market potential? Discover more in our latest blog post! 👇
https://lnkd.in/d9keDmge

If you want to find out more about what we're building at Oblivious to ensure the Future of SaaS is private, visit https://oblivious.com/

#FutureOfSaaS #DataPrivacy #PrivacyEnhancingTechnology #DataScience

🔐 Ever wondered how differential privacy works and what its impact is on data privacy?

🌐 This privacy-enhancing technology (PET) is rapidly gaining momentum and is being integrated into the data practices of many leading organisations, such as Apple, Microsoft, LinkedIn, or the US Census Bureau.

📝 In our latest blog, we've broken down this complex concept into easily digestible insights, accessible to readers regardless of their technical background.

It dives into the importance of differential privacy, its benefits, and real-life examples of its implementation.

Read to learn about:
✔️ What differential privacy entails
✔️ A data privacy scandal that shaped its foundation
✔️ The difference between pseudonymisation and anonymisation
✔️ The all-important privacy-utility trade-off
✔️ Real-life examples of how organisations are implementing differential privacy

💡 You can read it on our website: 
https://lnkd.in/da82k-wg

Want to get hands-on experience using differential privacy? Join our free platform which allows you to use secure enclaves and differential privacy inside your notebook. https://lnkd.in/deQ4XriY

#DifferentialPrivacy #DataPrivacy #PrivacyEnhancingTechnology #DataScience

🎉 We've recently added two new libraries to the Antigranular platform: Record Linkage and SPLink. 

Read this article to learn more about their functionality, their importance in data analysis, how they can help you link records between two data sources, and make a submission in the ongoing Harvard/OpenDP hackathon.

Utilising these libraries, the hackathon participants can accurately identify flights whose passengers need to be informed to quarantine in this COVID-19 pandemic scenario of the hackathon.

📝Here's the article: https://lnkd.in/dkrNdgqD

🌐 By participating, you'll join the global movement towards responsible data sharing and collaboration without compromising privacy.

🔗 Bonus resources:
- Harvard/OpenDP Hackathon: https://lnkd.in/dhUw24Js
- Sandbox competition: https://lnkd.in/dsFFu8rF
- Sample notebook demonstrating Record Linkage: https://lnkd.in/d8AM7DBY:
- Record Linkage docs: https://lnkd.in/dSKHxTBD
- SPlink docs: https://lnkd.in/dSRgEZH7

We are giving out €5500 in prizes across 3 categories designed for participants to show off a variety of strengths—so don't miss out!

🚀 Leverage the new libraries, refine your models, and let's see where you place on the leaderboard!

#datascience #PETs #hackathon #privacy #eyesoffmydata

💡As the appeal of AI surges, so do the underlying concerns about our privacy and data governance. How do we navigate this intricate interplay?

🎬 We are excited to bring you the captivating talk by Aoife Sexton from Trūata at our Eyes Off Data Summit 2023 in Dublin with her insights on navigating privacy and data governance in the AI era.

Tackling complexities of data privacy laws, divergence in regulatory approaches, and presenting a close examination of the "black box" AI problem, Sexton's talk provides a shining light that navigates this dynamically evolving landscape.

✔️ Watch it here: https://lnkd.in/dMcH9AZm

Shout out to CT Ireland for their exceptional video production.

For comprehensive insights from Aoife’s talk, check out the blog post: https://lnkd.in/dG3myz7h

🔔 Keep a finger on the pulse of AI and data privacy by subscribing to our YouTube channel. Be sure to hit the notification bell to stay updated as we release more recordings from the Summit!

😎 Intrigued by the transformative potential of Privacy-Enhancing Technologies (PETs)? Start exploring on our free platform and join our ongoing hackathon: https://lnkd.in/deQ4XriY

#eyesoffmydata #datascience #privacy #AI

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Oblivious makes it simple to deploy your servers to enclaves and securely connect to them via a native client direct-proxy. Payload encryption is maintained end-to-end, so you don't have to trust the enclave's host. When a client connects to the enclave, this attestation document is exchanged via a secure handshake, authorizing the user and certifying that the enclave is performing as expected.

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Oblivious: Unlocking sensitive data without compromising privacy

Irish confidential computing start-up Oblivious has raised €5.35 million

Confidential Computing: Oblivious Raises €5.35 million to Enable Secure Use of Confidential Data for Machine Learning

Data security start-up Oblivious raises €5.3m

The UN is testing technology that processes data confidentially

Irish start-up working with new UN privacy lab to unlock data sharing benefits

Irish big data start-up Oblivious AI closes $1m seed round

Tech startup Oblivious AI raises $1m for ‘one-click’ data privacy

A confidential computing runtime that allows businesses to deploy their services on the cloud with enhanced security, ensuring the exact source code is running in a secure environment.

An open-source platform that combines confidential computing and differential privacy, enabling data scientists to work with sensitive data securely using private Python within Jupyter Notebooks.

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Oblivious is a privacy-tech company that focuses on protecting personal data and ensuring its secure processing. They provide solutions for data privacy and governance, enabling organizations to collaborate and analyze data without revealing sensitive information. Oblivious deploys servers to enclaves, which have limited input and output abilities, ensuring data privacy. They also offer attestation documents for validating the source code and environment running inside the enclaves. The company is headquartered in Dublin, Ireland.

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