Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

What is Data Residency? Importance, Regulations, Challenges, & How to Comply

The term “cloud” in the domain of IT infrastructure and computing conjures images of a rather abstract concept for storing data – most don’t know how it works and where it is located. A common misconception is that it lacks a physical location. This, however, is not true – cloud ecosystems operate from servers, and these servers always have a physical location.

The Case of False Positives and Negatives in AI Privacy Tools [How to Reduce IT]

GenAI has revolutionized the way businesses interact with data. Thanks to easy accessibility and automation capabilities, it is increasingly becoming a part of more business workflows. If something sounds too good to be true, there’s usually a catch. GenAI works by continuously processing and improving on the data fed into it – often sensitive data, making privacy a tradeoff. Tools like Gemini, Claude, and ChatGPT are becoming the most common shadow IT tools.

Enterprises Are Hesitant to Share Data with LLMs. Here's Why.

Large language models like OpenAI’s GPT, Anthropic’s Claude, and Google’s Gemini have changed the way businesses process and transmit sensitive data. LLMs boosted productivity and enhanced customer experience like never before, triggering unprecedented adoption across enterprises. Amidst all the rush and excitement, the negative impacts were overlooked and swept under the carpet – till it became a privacy and compliance issue.

Securing Enterprise Data: Data Loss Prevention for Large Language Models (LLMs) like ChatGPT, Bard

We're thrilled to introduce our cutting-edge Data Loss Prevention (DLP) tool designed specifically to protect enterprise data when using Large Language Models (LLMs) like ChatGPT, Bard. Data security in corporate settings is more critical than ever, and with the rise of LLMs, new challenges emerge. Join us as we unveil our innovative DLP solution tailored to the unique demands of LLM-powered applications. Explore how our tool can identify and mitigate data breaches, ensuring your company's sensitive information remains confidential.

How To Discover PII and Privacy Vulnerabilities in Structured Data Sources

In this video, we walk through the process of discovering personally identifiable information (PII) and identifying potential privacy vulnerabilities within structured data sources. First, you will connect Protecto to your data repository. Then, we will show you how to access the Privacy Risk Data within your data assets catalog, obtain information on active users, access privileges, data owners, and recommendations for dealing with privacy risks.

Protecto & DLP: Your Digital Shield for LLM - ChatGPT, Bard - Interactions

Dive into the world of Large Language Models (LLMs) like ChatGPT and Bard confidently. Learn how Protecto, combined with our innovative Data Loss Prevention (DLP) portal, ensures seamless interactions without compromising your sensitive data. Your AI conversations just got a whole lot safer!

Securing AI Data with Protecto Privacy Vault

AI applications are becoming a primary target for cyber threats due to their reliance on vast amounts of sensitive data. Traditional security measures often fall short in protecting AI-driven environments. A privacy vault is essential for securing AI data, ensuring that sensitive information is protected while enabling innovation. AI models depend on vast datasets for training and operation, but this dependency introduces critical security risks.

Breaking the Barrier: Introducing Zero Loss Data Protection by Protecto

For decades, the trade-off between data protection and utility has long been accepted as an inevitable compromise. Protecto, however, is revolutionizing the field by introducing Zero Loss Data Protection, eliminating the need for sacrifices or trade-offs. Discover how Protecto is breaking this barrier, allowing businesses to enjoy robust data protection while maximizing data utility like never before.