Opaque Systems

In today's digital landscape, the integration of AI into our technology stacks is no longer just an innovation—it's a necessity. However, as we push the boundaries of what AI can achieve, it's imperative that we don't lose sight of a foundational principle: privacy by design. Privacy by design isn’t just about compliance; it’s about building trust. By embedding privacy into the very core of AI development, we ensure that personal data is treated with the respect it deserves—from day one, and at every step thereafter. Learn more about this concept of Privacy by Design by following Ann Cavoukian, Ph.D. and here's an article from TechRadar on the subject too: https://lnkd.in/gwMT9FvB At Opaque, we’re committed to this principle. We understand that as AI continues to evolve, so too must our approach to privacy. It’s about creating AI systems that are not only powerful and efficient but also transparent and secure. This is how we build technology that serves people, respects their data, and fosters trust in the digital age. As we look to the future, let’s remember that AI's real value isn’t just in its capabilities but also in how responsibly it’s designed and deployed. #PrivacyByDesign #AI #DataPrivacy #TrustInTech

Are unlearning algorithms successful at removing sensitive #data from #AI models? According to a new study, the answer is yes—but it can come at the expense of performance. Researchers at several leading universities joined forces with Google to test the viability of multiple unlearning algorithms. And their findings were eye-opening: Algorithms can make models forget information. But the unfortunate trade-off could be a degradation in performance, with some models losing their ability to answer the most basic questions. But when it comes to the need to unlearn sensitive information, there could be a better way to offer the protection needed to accelerate AI into production. #ConfidentialAI provides a safeguard for sensitive data by allowing companies to deploy AI workloads on encrypted data, without the need to reengineer—or teach models the art of forgetting. Why jeopardize performance, when confidential AI can enhance it? Read on for how, without confidential AI, unlearning can remove sensitive data from AI models, but potentially impact AI capabilities. https://lnkd.in/gWJktPVW

Academics have been warning that we will soon run out of data for use with AI models and developers have begun turning to synthetic data for training purposes. A new study published in Nature found that this is not a tenable approach. Opaque Systems was created at the UC Berkeley RISElab specifically because our visionary founders recognized the demand for data would increasingly require sensitive data. The confidentiality of data creates a obstacle for the enterprise and organizations that Opaque solves with our confidential AI platform that allows AI workloads (and training) on encrypted data with verifiable privacy and sovereignty. It’s a great time to be at Opaque and we’re hiring. https://lnkd.in/gMB_iSpz

How can enterprises keep their most sensitive data secure during multi-party collaboration or when developing AI models? Find out in this episode of #InTechnology on #AIpolicy and enterprise adoption. I was honored to be a guest with Jonathan Ring, Deputy Assistant National Cyber Director for Technology Security at The White House Office of the National Cyber Director (ONCD)—as well as episode hosts Taylor Roberts, Director of Global Security Policy at Intel, and Camille Morhardt, Director of Security Initiatives and Communications at Intel.   Watch the conversation here: https://lnkd.in/gz8GvngV   Full audio is here: https://lnkd.in/gVMXF3Gn

This summer has been a pivotal moment for AI governance across business sectors. One of the latest developments is The European Union's Digital Operational Resilience Act (DORA), which calls for stricter oversight and accountability for AI systems. In this week’s edition of AI Confidential, we spotlight the power of confidential computing, not only as a secure way to deploy AI projects but also as a tool to accelerate revenue streams. Mike Bursell, Executive Director of The Linux Foundation Computing Consortium, and Mark Russinovich, Chief Technology Officer of Microsoft Azure, spoke more about the profitability of confidential AI at Opaque Systems’ Confidential Computing Summit. Russinovich dove into a real-life use case about how the Royal Bank of Canada uses confidential AI to securely merge sensitive data and improve targeted advertising for customers. We’re also highlighting the expertise of Opaque Systems pros. Our co-founder Raluca Ada Popa spoke at Accenture Techstar virtual graduation about Gen AI’s potential to drive innovation and alter the future of work. Meanwhile, Jason Lazarski, Head of Sales at Opaque Systems, joined Jonathan Ring deputy assistant national cyber director for technology security at The White House Office of the National Cyber Director (ONCD), on Intel Corporation’s InTechnology podcast, to discuss the power of confidential AI. Don’t forget to subscribe to our newsletter for a full rundown of confidential AI innovation, and stay tuned for our next issue in your inbox next month. 

This is a great case study on a use case Opaque Systems provides out-of-the-box https://lnkd.in/gMP_Quzw Well done Justin Simonelis.

This issue of "AI Confidential" includes Mark Russinovich, CTO of Microsoft Azure and other luminaries. Read more and subscribe here: https://lnkd.in/gKGuibx5 "In this issue [of AI Confidential], we're delving into a real-world example of a financial services provider that’s already benefiting from confidential AI, showcasing its immense potential to tap into new value. By demonstrating these success stories, we aim to inspire more organizations to adopt confidential AI and fully realize its benefits." -- Aaron Fulkerson

It's always enlightening to hear Anand Pashupathy speak about confidential AI.

What is DORA? Hint: It's not an adorable and curious explorer... The Digital Operational Resilience Act (DORA) will go into effect on January 17, 2025, and it affects financial institutions within the European Union. This regulation mandates that these institutions ensure the confidentiality, integrity, and availability of data at rest, in transit, and in use, leveraging technologies like confidential computing and robust encryption methods to protect data during processing. DORA aims to enhance the financial sector's operational resilience against ICT disruptions and cyber threats. Read more here: https://lnkd.in/dM8zhXwh Some Requirements of DORA 1. **Confidential Computing and Data Encryption**   - Financial institutions must protect data at rest, in transit, and in use using technologies like confidential computing.   - Implement encryption for all data states to ensure comprehensive protection throughout its lifecycle. 2. **Processing Encrypted Data**   - Financial entities must adopt encryption technologies to maintain data confidentiality during processing, with an emphasis on scalable solutions like confidential computing over homomorphic encryption. 3. **Auditing Data Privacy and Sovereignty**   - Establish robust data management frameworks to ensure data accuracy, completeness, and integrity.   - Maintain control over data storage and processing locations, particularly when using third-party ICT services.   - Report significant ICT-related incidents to relevant authorities to ensure transparency and accountability. Opaque Systems is an Elegant Solution for DORA Compliance: **Confidential Computing Solutions**: Opaque’s confidential AI platform uses secure enclaves to protect data during processing, ensuring compliance with DORA’s requirements for data confidentiality and integrity in use. Opaque is the only turn-key application for general-purpose AI (analytics, ML, GenAI) on confidential computing. **Comprehensive Data Encryption**: The platform supports advanced encryption for data at rest, in transit, and in use, aligning with DORA’s stringent data protection standards. **Data Privacy Auditing Tools**: Opaque provides an auto-generated audit trail cryptographically signed by the CPU (or GPU) for data lineage tracking, quality assurance, and compliance reporting, helping financial entities meet DORA’s auditing requirements. These capabilities make Opaque an ideal partner for financial institutions aiming to comply with DORA, enhancing their operational resilience and security. We're already working with many clients in the EU grappling with regulatory, data privacy, and sovereignty challenges. Schedule a meeting with us: www.opaque.co or Hello@Opaque.co