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Essential Guide to PII Data Discovery: Tools, Importance, and Best Practices

Oct 10, 2024 By Rahul Sharma In Protecto
Personally Identifiable Information (PII) is data that can uniquely identify an individual, such as an employee, a patient, or a customer. “Sensitive PII” refers to information that, if compromised, could pose a greater risk to the individual’s privacy and misuse of information for someone else’s gains.
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Why Presidio and Other Data Masking Tools Fall Short for AI Use Cases Part 1

Oct 8, 2024 By Amar Kanagaraj In Protecto
Data privacy and security are critical concerns for businesses using Large Language Models (LLMs), especially when dealing with sensitive information like Personally Identifiable Information (PII) and Protected Health Information (PHI). Companies typically rely on data masking tools such as Microsoft’s Presidio to safeguard this data. However, these tools often struggle in scenarios involving LLMs/AI Agents.
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Sensitive Data Discovery Tools: Best Practices for GDPR, PII, and PCI Compliance

Oct 7, 2024 By Rahul Sharma In Protecto
For most companies today, the question isn’t whether a data breach will occur, but rather when it will occur. This predicament is primarily due to the sheer volume of data, the challenges associated with monitoring sensitive data, and the transition to remote work. Consequently, IT security teams are constantly navigating a dynamic and enduring risk landscape, making it exceptionally challenging to maintain data security and implement effective sensitive data protection strategies.
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Enterprise Data Protection: Solutions, Strategies, and Best Practices

Oct 6, 2024 By Rahul Sharma In Protecto
Enterprise data is a tremendous asset, but did you know it could also cause great data privacy-related financial risks? The need for sturdy enterprise data protection cannot be emphasized enough. With local data privacy laws such as GDPR being strictly enforced by countries worldwide, companies are seeing heftier fines for data breaches. Companies now need to be extremely cautious about how they manage privacy risks by carefully controlling access to personal and sensitive data.
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LLM Security: Leveraging OWASP's Top 10 for LLM Applications

Oct 4, 2024 By Rahul Sharma In Protecto
Large Language Models (LLMs) transform how organizations process and analyze vast amounts of data. However, with their increasing capabilities comes heightened concern about LLM security. The OWASP Top 10 for LLMs offers a guideline to address these risks. Originally designed to identify common vulnerabilities in web applications, OWASP has now extended its focus to AI-driven technologies. This is essential as LLMs are prone to unique LLM vulnerabilities that traditional security measures may overlook.
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PII Data Classification: Key Best Practices

Oct 4, 2024 By Rahul Sharma In Protecto
PII (Personally Identifiable Information) refers to data that can directly or indirectly identify an individual, such as names, addresses, or phone numbers. Protecting PII data is critical, as exposure can result in identity theft, financial fraud, or privacy breaches. With businesses collecting vast amounts of PII, proper PII data classification has become essential to safeguarding sensitive information and complying with data protection regulations.
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Not All Synthetic Data is the Same: A Framework for Generating Realistic Data

Oct 4, 2024 By Amar Kanagaraj In Protecto
A common misconception about synthetic data is that it’s all created equally. In reality, generating synthetic data for complex, nuanced use cases — like healthcare prescription data — can be exponentially more challenging than building a dataset for weather simulations. The goal of synthetic data isn’t just to simulate but to closely approximate real-world scenarios.
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Protecto Snowflake Integration Demo: Safeguard Sensitive Data!

Oct 2, 2024 By Protecto In 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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Mastering Data Masking: Key Strategies for Handling Large-Scale Data Volumes

Sep 30, 2024 By Amar Kanagaraj In Protecto
Masking large volumes of data isn’t just a bigger version of small-scale masking—it’s exponentially more complex. High-volume data masking introduces unique engineering challenges that demand careful balancing of performance, integration, accuracy, and infrastructure costs. In this blog, we’ll dive into the critical factors you must consider when choosing the right tool for large-scale data masking, helping you confidently navigate these complexities.
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LLM Security: Top Risks and Best Practices

Sep 27, 2024 By Rahul Sharma In Protecto
Large Language Models (LLMs) have become central to many AI-driven applications. These models, such as OpenAI’s GPT and Google’s Bard, process massive amounts of data to generate human-like responses. Their ability to handle natural language has revolutionized industries from customer service to healthcare. However, as their use expands, so do concerns about LLM security. LLM security is critical because these models handle sensitive data, making them tempting targets for cybercriminals.
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