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By Rahul Sharma
Protecting sensitive information is critical in healthcare. Personally Identifiable Information (PII) and Protected Health Information (PHI) form the foundation of healthcare operations. However, these data types come with significant privacy risks. Advanced de-identification techniques provide a reliable way to secure this data while complying with regulations like HIPAA.
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By Amar Kanagaraj
AI systems bring transformative capabilities to industries like healthcare but introduce unique challenges in protecting patient data. Unlike traditional applications, AI systems rely on conversational interfaces and large datasets to train, test, and optimize performance, often including sensitive patient information. AI systems pose complex risks to patient data privacy and AI data security that cannot be effectively managed using traditional methods.
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By Amar Kanagaraj
As Artificial Intelligence (AI) adoption accelerates, so do data privacy, security, and compliance concerns. Navigating the regulatory landscape is complex, as AI applications often handle sensitive personal data across borders and industries. In this blog, we discuss the challenges of AI compliance, the regulations that impact AI, and how Protecto can help businesses master compliance with confidence.
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By Rahul Sharma
Protecting patient privacy is vital in the healthcare industry. The rise of digital records has made safeguarding sensitive information more challenging. De-identifying healthcare data ensures compliance with regulations like HIPAA while protecting patient information. Key concepts include PHI (Protected Health Information), de-identification, and the safe harbor method.
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By Rahul Sharma
Understanding the distinction between de-identification vs. anonymization is critical in today’s data-driven world. These processes are essential for safeguarding privacy while enabling the ethical use of data. Both techniques significantly meet regulatory standards such as GDPR anonymous data and HIPAA de-identified data requirements. However, their purposes and methods differ significantly.
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By Rahul Sharma
Generative AI (Gen AI) has transformed how businesses handle data and automate processes. Its ability to generate human-like content and analyze massive datasets has unlocked new opportunities. However, these capabilities also introduce significant data security risks. Unauthorized access, data misuse, and breaches are growing concerns. Role-Based Access Control (RBAC) is a critical solution for mitigating these risks.
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By Rahul Sharma
Audit trails are systematic records of activities and transactions within a system. They provide a transparent and chronological log of actions, making them essential for modern business operations. By integrating audit trails into their systems, businesses can strengthen transparency and enhance security. Audit trails are not just about record-keeping. They form the backbone of a secure and accountable business environment.
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By Amar Kanagaraj
Mock data is an essential tool in software development and testing, offering realistic and secure alternatives to sensitive production data. Beyond traditional testing, mock data is now a cornerstone for AI development, where large datasets are critical for training and validation. By mimicking the properties of real-world data while ensuring privacy and compliance, mock data enables organizations to innovate without compromising security or trust.
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By Amar Kanagaraj
Healthcare data masking unlocks the incredible potential of healthcare data for analytics and AI applications. The insights from healthcare data can revolutionize the industry from improving patient care to streamlining operations. However, the use of such data is fraught with risk. In the United States, Protected Health Information (PHI) is regulated by the Health Insurance Portability and Accountability Act (HIPAA), which sets stringent requirements to safeguard patient privacy.
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By Rahul Sharma
Organizations worldwide struggle with complex regulatory requirements. AI in compliance management emerges as a powerful solution to simplify these challenges. Modern businesses face unprecedented pressure to maintain rigorous compliance standards across multiple domains. AI for compliance transforms how companies approach regulatory requirements. Traditional methods consume significant resources and expose organizations to substantial risks.
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By Protecto
Discover how to build secure, compliant, and privacy-preserving AI applications with Protecto. In this video, we explain how Protecto's simple APIs protect sensitive data, ensuring compliance with regulations like HIPAA. Learn how a healthcare company used Protecto to create an AI-based fraud detection application while safeguarding millions of patient health insurance claims. Protecto's API masks sensitive information, preserving context and meaning without exposing personal identifiers like names or social security numbers.
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By Protecto
Welcome to the Protecto Snowflake Integration Demo, where we show you how to safeguard sensitive data using Protecto’s advanced AI-powered masking tools! In today’s world, businesses using Snowflake for AI and analytics face significant risks with sensitive information hidden within unstructured data like comments and feedback columns. Protecto provides a unique solution, precisely masking only the sensitive parts of your unstructured data while leaving the rest untouched, ensuring your datasets remain valuable for analysis.
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By Protecto
Discover how our intelligent data masking solution ensures secure, compliant, and privacy-preserving analytics for your data lakes. Protecto maintains data integrity while empowering your organization to leverage analytics or enable AI/RAG without compromising privacy or regulatory compliance.
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By Protecto
Generative AI is often seen as high risk in healthcare due to the critical importance of patient safety and data privacy. Protecto enables your journey with HIPAA-compliant and secure generative AI solutions, ensuring the highest standards of accuracy, security, and compliance.
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By Protecto
But in the world of gen AI applications, translating and maintaining roles in a vector database is exponentially complex.
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By Protecto
Don't miss out on the critical insights from this exclusive discussion on Gen AI Security and Privacy Challenges in Financial Services brought to you by Protecto!
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By Protecto
Unlock the full potential of Gen AI in finance, without compromising security and privacy. Watch this video for expert advice and cutting-edge solutions.
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By Protecto
Tired of inaccurate LLM (/RAG) responses because of data masking? Generic masking destroys data context, leading to confusion and inaccurate LLM responses. Protecto's advanced masking maintains context for accurate AI results while protecting your sensitive data.
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By Protecto
Introducing Protecto SecRAG, the revolutionary platform that empowers you to launch your own AI assistants/chatbots. No coding is required. Simply connect your existing data sources to Protecto. Our intuitive conversation UI allows you to ask questions about your data in plain English, just like you'd talk to a colleague. SecRAG powers a Telco's contracts bot, a large service providers' talent acquisition co-pilot, a healthcare insurance provider's benefits bot and many more.
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By Protecto
Know the challenges associated with managing data privacy and security, and the capabilities that organizations need to look for when exploring a data privacy and protection solution.
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By Protecto
Improve your organization's privacy and security posture by automating data mapping. Read on to understand some best practices for privacy compliance.
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By Protecto
Protecto can help improve your privacy and security posture by simplifying and automating your data minimization strategy. Read on to know more.
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Easy-to-use API to protect your enterprise data across the AI lifecycle - training, tuning/RAG, response, and prompt.
Protecto makes all your interactions with GenAI safer. We protect your sensitive data, prevent privacy violations, and mitigate security risks. With Protecto, you can leverage the power of GenAI without sacrificing privacy or security. If you are looking for a way to make your GenAI interactions safer, then Protecto is the solution for you.
Data protection without sacrificing data utility:
- Achieve Compliance And Mitigate Privacy Risks: Preserve valuable information while meeting data retention regulations.
- Embrace Gen AI Without Privacy or Security Risks: Harness the power of Gen AI, ChatGPT, LLMs, and other publicly hosted AI models without compromising on privacy and security.
- Share Data Without Sacrificing Compliance: Comply with privacy regulations and data residency requirements while sharing data with global teams and partners.
- Ensure The Security Of Your Data In The Cloud: Protect your sensitive and personal data in the cloud. Gain control over your cloud data.
- Create Synthetic Data: Harness real-world data for testing without compromising on privacy or security.
- Achieve Data Retention Compliance with Anonymisation: Simplify compliance efforts and safeguard sensitive data.
Protect your enterprise data across the AI lifecycle.