Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

October 2024

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Safeguarding Generative AI: How AI Guardrails Mitigate Key Risks

Oct 29, 2024 By Rahul Sharma In Protecto
The growing reliance on generative AI is transforming industries across the globe. From automating tasks to improving decision-making, the potential of these systems is vast. However, with this progress comes significant risks. Generative AI can be unpredictable, creating new vulnerabilities that expose organizations to data privacy breaches, compliance failures, and other security issues. So, how can companies harness the power of AI while ensuring they remain protected?
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Gen AI Guardrails: Paving the Way to Responsible AI

Oct 28, 2024 By Rahul Sharma In Protecto
As artificial intelligence (AI) grows, AI guardrails ensure safety, accuracy, and ethical use. These guardrails are a set of protocols and best practices designed to mitigate risks associated with AI, such as bias, misinformation, and security threats. They are vital in shaping how AI systems, particularly generative AI, are developed and deployed.
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LLM Guardrails: Secure and Accurate AI Deployment

Oct 21, 2024 By Rahul Sharma In Protecto
Deploying large language models (LLMs) securely and accurately is crucial in today’s AI deployment landscape. As generative AI technologies evolve, ensuring their safe use is more important than ever. LLM guardrails are essential mechanisms designed to maintain the safety, accuracy, and ethical integrity of these models. They prevent issues like misinformation, bias, and unintended outputs.
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Emerging AI Use Cases in Healthcare: A Comprehensive Overview

Oct 18, 2024 By Amar Kanagaraj In Protecto
The integration of AI, especially Gen AI, into healthcare has been transforming the industry, enabling providers to enhance patient care, streamline operations, and reduce costs. Below is an overview of the most promising AI use cases in healthcare that are reshaping the industry.
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What is India's Digital Personal Data Protection (DPDP) Act? Everything You Need to Know!

Oct 14, 2024 By Rahul Sharma In Protecto
Data protection has become a critical concern worldwide as digital transactions and data exchanges grow. Countries are establishing strict data protection laws to safeguard personal information, and India is no exception. The Digital Personal Data Protection (DPDP) Act is India’s response to growing privacy concerns and the need for robust regulations around personal data usage.
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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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