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protecto

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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protecto

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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protecto

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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protecto

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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lookout

Safeguarding Sensitive Information in the Age of Generative AI

Oct 4, 2024 By Lookout In Lookout
Since its debut in 2022, ChatGPT has radically reshaped the way we interact with technology. Generative AI (genAI) platforms like ChatGPT, Google Gemini, and Meta AI have rapidly gained in popularity, offering capabilities that range from rewriting text to generating creative content. While these tools have created new opportunities for enhanced productivity, they’ve also introduced new security risks — particularly when users unknowingly share sensitive information.
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protecto

Transforming the Future of Healthcare Privacy & Research with Patient Data Tokenization

Oct 4, 2024 By Anwita Dhar In Protecto
Healthcare frontline workers and medical service providers access, process, and transmit sensitive medical data also known as PHI (protected health information), to conduct their daily activities. Facilitating seamless flow of PHI is critical to ensure patients get high quality services. Despite being tightly regulated, the healthcare industry has consistently topped the list of most targeted for breaches.
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jumpcloud

Is the Speed of AI Development Leaving UK SMEs Struggling to Plug Security Gaps?

Oct 3, 2024 By Sean Gill, Head of Sales, Europe In JumpCloud
Artificial Intelligence (AI) is perhaps one of the fastest evolving technologies in business today. For SMEs, it can be hard to keep up with these developments and sift through what's simply noise, and what will deliver tangible business benefits. As the UK data from our recent SME IT Trends report shows, embracing AI can help UK SMEs streamline operations, improve the admin and user experience, and stand out in a crowded marketplace. Without a doubt, choosing to ignore AI would be choosing to fall behind.
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