Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Code Llama 70B Launch & More - This Week in AI

In a groundbreaking move, Meta has released Code Llama 70B, the latest iteration in its series of open-source code generation models. Code Llama 70B maintains the tradition of an open license, fostering research and commercial innovation. This release builds upon its predecessors, including Llama 2, and is poised to redefine AI-driven code generation. One standout feature in the suite is CodeLlama-70B-Instruct, a finely tuned version explicitly designed for instruction-based tasks.

Protecto - Data Protection for Gen AI Applications. Embrace AI confidently!

Worried your AI is leaking sensitive data? Stuck between innovation and data protection fears? Protecto is your answer. Embrace AI's power without sacrificing privacy or security. Smartly replace your personal data with tokenized shadows. Move at the speed of light, free from data leaks and lawyer headaches. Protecto enables Gen AI apps to preserve privacy, protect sensitive enterprise data, and meet compliance in minutes.

Developing Enterprise-Ready Secure AI Agents with Protecto

In an era where artificial intelligence is transforming industries, AI agents are emerging as powerful tools for automating workflows, enhancing decision-making, and delivering tailored user experiences. These agents are entrusted with handling vast amounts of sensitive data from sensitive healthcare records to financial transactions and intellectual property. However, this trust comes with a significant responsibility: ensuring robust data security and compliance.

GPT Guard - A Step by Step Guide

GPTGuard - ChatGPT-like insights, zero privacy risk Want to chat with LLMs like ChatGPT without sacrificing privacy? GPTGuard keeps your interactions secure and private by masking sensitive data in your prompts. GPTGuard shields sensitive data through a unique masking technique that allows LLMs to grasp the context without directly receiving confidential information. Discover the power of safe AI with GPTGuard's special data masking technology.

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.