Straive’s Post

💡 Can #generativeAI reshape how we manage sensitive data? 💡 At Straive Gramener we have been working on various applications of LLMs in healthcare and one such prominent use case is to incorporate LLMs into existing anonymization solutions. In my latest blog, I discuss the significant impact LLMs on these processes, offering powerful tools to anonymize data while maintaining accuracy and integrity. Learn how these AI advancements are setting a new standard esp in #pharma and #medtech domains Nutan B Sunil Sharma Priyanka Mishra Ranjeeta B.

'When it comes to protecting data privacy, regulations do not define how to do this, that's where it's quite a bit of a gray area. And that's where privacy technologies take the spotlight in terms of remaining compliant with privacy laws and appreciating your users' privacy. So zooming out, in the future, when we talk about AI, the foundations will be built not only on greater quantities of data but also on good or better data.' Here are the highlights from our co-founder and CEO, Dr. Uzair Javaid, Ph.D. recent panel discussion on the impact of AI on data privacy at the International Conference 2024, organized by #PDPA #Thailand. The event focused on 'Key Global Trends in Data Privacy.' Uzair Javaid, Ph.D. shared his insights on the accelerating adoption of AI, the challenges posed by the gap between data privacy regulations and AI deployment, and the implications for machine learning and privacy protection. He emphasized the importance of privacy engineering and highlighted how #SyntheticData can play a crucial role in safeguarding privacy while enabling the rapid development of #EnterpriseML. Watch the full talk here: https://lnkd.in/gArgn9BP #pdpa #pdpc #dataprivacy #privacyprotection #syntheticdata #artificialintelligence #datasecurity #machinelearning #genai

I’m excited to welcome Peeyush Tambe as we go #LIVE on #LinkedIn on September 19, 2024, at 9:30 AM EST to deep dive into a crucial topic—Using AI for Data Mapping and Identification in DSAR Responses! We’ll explore the vital role of AI in mapping personal data across enterprise systems to ensure that all relevant data is identified and efficiently provided in response to DSARs. Don’t miss out on this insightful session—join us live and stay ahead of the curve in data privacy compliance! Data Safeguard Inc. #DataPrivacy #AI #DSAR #DataMapping #Compliance #EnterpriseData #DataProtection #PrivacyTech #AIPowered #LinkedInLive #TechInnovation #DataGovernance

Failure to comply with data protection and AI governance laws can result in bans on AI deployment for many companies. Our research team has been exploring solutions to this challenge. We tested Anonos technology to safeguard sensitive data in LLM fine-tuning and Retrieval-Augmented Generation (RAG) applications. Our chief data scientist, Omar Ali Fdal, highlights the critical importance of mitigating privacy risks in LLM-based deployments. Read our latest whitepaper to learn how protected data can bolster security and maintain performance in LLMs 👉🏼 🔗 https://lnkd.in/dj5-WDwp #AI #DataPrivacy #Anonos #TechInnovation #PrivacyProtection #AIethics

SecureCRT and Data Privacy: Thank You Lee Nocon and Pradeepta Mishra for your insights on #SecureCRT and ID-REDACT® Data Safeguard Inc. #SecureCRT #IDREDACT #DataPrivacy #DataProtection ID-REDACT® and ID-MASK® products have been developed using advanced AI/ML models and algorithms with supercomputer-based data accelerators to improve efficiency and accurately control the proliferation and incidental PII/PHI/Sensitive/Non-sensitive data leaks within and across organizations to help meet global, federal, and state-level compliance mandates. Both products are highly integrated framework solutions that can be deployed operationally resulting in immediate ROI. The framework-based products affords flexibility to apply policy changes and redeploy the model within days versus months.

Mitigating privacy risks when deploying #LLM-based applications is essential. Our latest blog post is a first part of a Series that delve into how protected data methodologies can enhance security and maintain performance in AI applications leveraging Retrieval Augmented Generation (#RAG) and #FineTuning. Stay tuned for the follow-up! 🙌 Great insights from Jose Pedro Valdes Herrera & Nicola Vitacolonna

We are excited to share the recording of our October 9, 2024, webinar featuring Yuxin Wang presenting HARMONIC – our groundbreaking framework for secure and realistic synthetic tabular data generation using LLMs! 💻 HARMONIC tackles the challenge of accessing sensitive data by fine-tuning large-scale LLMs to generate tabular data that maintains privacy and quality. With the innovative use of the k-nearest neighbors approach, the framework ensures data structure retention while minimizing privacy risks. Our privacy risk metric (DLT) and performance metric (LLE) allow us to measure the impact of synthetic data on downstream tasks, setting new standards for privacy-preserving AI. 🔒📊 🔗 Watch the full webinar and explore how HARMONIC is shaping the future of secure data synthesis in finance: https://lnkd.in/e7Gpgy6u #ai #LLM #Fintech #SyntheticData #DataPrivacy #HARMONIC #TheFinAI #FinanceTransformation #PrivacyPreservingAI #DataSecurity

Suggestions to protect data privacy in using Gen AI

Happy Data Privacy Week! Let's work together to protect our data and build a stronger future. Looking forward to continued innovation and growth in the years to come. #dataprivacy #privacypros #protectyourdata #cipm #cipp #ai

As organizations are eager to adopt AI technologies, many run into the challenge of understanding the data they possess and the potential risks involved. In this video, we sit down with AI experts to explore the critical role of data governance and privacy in successful AI implementation. Learn how to design an AI strategy that minimizes the risk of exposing sensitive information while maximizing the benefits of data-driven insights. Discover best practices for managing large datasets, protecting personal data, and ensuring compliance with privacy regulations. Don't let poor planning jeopardize your AI initiatives—watch now to learn how to implement AI responsibly and effectively. Get the research here:... https://lnkd.in/eN-C2TsJ