Revolutionizing Financial Data Security with Inpher’s XOR and Microsoft Confidential…
As the financial industry continues to evolve, solutions like XOR and TEE hardware will play a crucial role in driving innovation and maintaining trust in data privacy....
Balancing Insight and Privacy for Data Enrichment
Inpher XOR presents a revolutionary solution, enabling privacy-enabled data enrichment and allowing organizations to derive valuable insights while preserving data...
RAG for Advancing AI Security Posture Management (AI-SPM)
In the last blog in our three-part series, we explore the concept of AI Security Posture Management (AI-SPM) and how it applies to privacy-enabled...
RAG for Real World Generative AI Applications
In this second blog in the three-part series, we'll dive deeper into the power and potential of RAG, backed by data points and real-world applications that highlight its...
Enhancing Privacy with Inpher XOR for Data Enrichment
In today's data-driven landscape, organizations across various sectors confront the challenge of leveraging data effectively while safeguarding individual privacy....
Inpher XOR DataFrame API – Filtering out Unwanted Complexity
In our third post we pick one particular operation, filter, and look under the hood to see how the XOR DataFrame API allows the analyst to write efficient data workflow...
Bridging the Gender Gap: Insights from RSA Conference 2024
By working together, we can bridge the gender gap and create a more inclusive future for cybersecurity....
SecurAI Protects LLMs with NVIDIA Confidential Computing
Inpher announces the general availability release of SecurAI, a leading solution that protects the privacy and security of user inputs on large language models....
Healthcare Fraud Mitigation – How Data, GenAI and Machine Learning…
In this post, we look at how AI and machine learning (ML) can help combat healthcare fraud – and why further development and innovation in this area could have even more...
Machine Learning Operations – A New Paradigm in Development and…
In this blog, we explore how, by embracing MLOps principles, organizations can significantly accelerate the pace of model development and production....
Privacy Enabled RAG for Meaningful Enterprise Generative AI Adoption
Enterprises can harness the power of gen AI by using RAG systems to achieve cost-effective, reliable, and trustworthy...
Inpher XOR DataFrame API – Caching and Computation Flow
In this second post we show an example how cross request caching avoids redundant computations. We also discuss the steps and components of the XOR Platform involved when...
The Ethical AI Revolution – How an AI Strategy Can…
(Part 3 of 3) Technology plays a crucial role in driving the ethical AI revolution by enabling the development of AI systems that prioritize ethical considerations throughout...
The Ethical AI Revolution – How an AI Strategy Can…
(Part 2 of 3) Data utility in the context of ethical AI refers to the value or usefulness of data for achieving a specific goal while considering ethical principles and...
The Ethical AI Revolution – How an AI Strategy Can…
(Part 1 of 3) Ethical AI refers to the development and deployment of artificial intelligence systems that prioritize ethical considerations, such as fairness, transparency,...