Protecto

Cupertino, CA, USA
2021
  |  By Rahul Sharma
The rapid advancements in large language models (LLMs) have revolutionized the manner in which we interact with technology. These powerful AI systems have found their way into a wide range of applications, from conversational assistants and content generation tools to more complex decision-making systems. As the adoption of LLM-powered applications continues to grow, it has become increasingly crucial to prioritize the security and safety of these technologies.
  |  By Rahul Sharma
Generative AI is a rapidly maturing field that has captured the imagination of researchers, developers, and industries alike. Generative AI refers to artificial intelligence systems adept at concocting new and original content, such as text, images, audio, or code, based on the patterns and relationships learned from training data. This revolutionary technology can transform various sectors, from creative industries to scientific research and product development.
  |  By Rahul Sharma
In a landmark development, the U.S. Department of Homeland Security (DHS) has unveiled its pioneering Artificial Intelligence Roadmap, marking a significant stride towards incorporating generative AI models into federal agencies' operations. Under the leadership of Secretary Alejandro N. Mayorkas and Chief Information Officer Eric Hysen, DHS aims to harness AI technologies to bolster national security while safeguarding individual privacy and civil liberties.
  |  By Rahul Sharma
As large language models (LLMs) continue to push the boundaries of natural language processing, their widespread adoption across various industries has highlighted the critical need for robust security measures. These powerful AI systems, while immensely beneficial, are not immune to potential risks and vulnerabilities. In 2024, the landscape of LLM security tools has evolved to address the unique challenges posed by these advanced models, ensuring their safe and responsible deployment.
  |  By Rahul Sharma
Memory integration into Large Language Model (LLM) systems has emerged as a pivotal frontier in AI development, offering the potential to enhance user experiences through personalized interactions. Enter LangFriend, a groundbreaking journaling app that leverages long-term memory to craft tailored responses and elevate user engagement. Let's explore the innovative features of LangFriend, which is inspired by academic research and cutting-edge industry practices.
  |  By Protecto
India's data protection laws are evolving to safeguard the privacy of its citizens. One crucial aspect is the requirement that Personally Identifiable Information (PII) remain within India's borders for processing. This data residency requirement poses a challenge for businesses that want to leverage powerful AI language models (LLMs) like those offered by OpenAI, which often process data in global centers.
  |  By Rahul Sharma
In the rapidly maturing landscape of artificial intelligence (AI), multimodal learning has emerged as a game-changer. It enables AI systems to process and integrate data from numerous modalities, such as text, images, audio, and video. This approach is crucial for developing AI systems that can understand and interact with the world in a more human-like manner, as our experiences and communication are inherently multimodal.
  |  By Rahul Sharma
In today's digital landscape, where cyber threats are ever-evolving and data breaches can have devastating consequences, zero-trust security has emerged as a robust approach to protect organizations and their critical systems. At its core, zero-trust challenges the traditional notion of inherent trust within network boundaries, advocating for a holistic security posture that treats every entity as a potential threat until proven trustworthy.
  |  By Rahul Sharma
In a groundbreaking move towards enhancing document parsing capabilities, LlamaIndex has unveiled LlamaParse, the world's first GenAI-native document parsing platform. With a mission to harness the power of Large Language Models (LLMs), LlamaParse represents a significant advancement in AI-driven document analysis and processing.
  |  By Rahul Sharma
In a significant move to address the complexities of regulating artificial intelligence (AI), Speaker Mike Johnson (R-La.) and Minority Leader Hakeem Jeffries (D-N.Y.) declared the formation of a bipartisan task force dedicated to exploring AI innovation and devising safeguards against potential threats. This initiative comes as lawmakers grapple with the rapid evolution of AI technology and its implications for various sectors.
  |  By Protecto
But in the world of gen AI applications, translating and maintaining roles in a vector database is exponentially complex.
  |  By Protecto
Unlock the full potential of Gen AI in finance, without compromising security and privacy. Watch this video for expert advice and cutting-edge solutions.
  |  By Protecto
Don't miss out on the critical insights from this exclusive discussion on Gen AI Security and Privacy Challenges in Financial Services brought to you by Protecto!
  |  By Protecto
Tired of inaccurate LLM (/RAG) responses because of data masking? Generic masking destroys data context, leading to confusion and inaccurate LLM responses. Protecto's advanced masking maintains context for accurate AI results while protecting your sensitive data.
  |  By Protecto
Introducing Protecto SecRAG, the revolutionary platform that empowers you to launch your own AI assistants/chatbots. No coding is required. Simply connect your existing data sources to Protecto. Our intuitive conversation UI allows you to ask questions about your data in plain English, just like you'd talk to a colleague. SecRAG powers a Telco's contracts bot, a large service providers' talent acquisition co-pilot, a healthcare insurance provider's benefits bot and many more.
  |  By Protecto
Introducing Protecto's SecRAG, the game-changer for secure AI. SecRAG stands for Secure Retrieval Augmented Generation, a turnkey solution. No need to build complex rag or access controls from scratch. Protecto provides a simple interface and APIs to connect data sources, assign roles, and authorize the data. In a few minutes, your secure AI assistant will be ready. When users ask your Protecto-powered AI assistants, Protecto applies appropriate access control to find the right data and generate responses that don't expose other sensitive information that the user is not authorized to see.
  |  By Protecto
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.
  |  By Protecto
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.
  |  By Protecto
Discover how to anonymize your prompts, control your data, and avoid privacy, security, and compliance issues.
  |  By Protecto
Know the challenges associated with managing data privacy and security, and the capabilities that organizations need to look for when exploring a data privacy and protection solution.
  |  By Protecto
Improve your organization's privacy and security posture by automating data mapping. Read on to understand some best practices for privacy compliance.
  |  By Protecto
Protecto can help improve your privacy and security posture by simplifying and automating your data minimization strategy. Read on to know more.

Easy-to-use API to protect your enterprise data across the AI lifecycle - training, tuning/RAG, response, and prompt.

Protecto makes all your interactions with GenAI safer. We protect your sensitive data, prevent privacy violations, and mitigate security risks. With Protecto, you can leverage the power of GenAI without sacrificing privacy or security. If you are looking for a way to make your GenAI interactions safer, then Protecto is the solution for you.

Data protection without sacrificing data utility:

  • Achieve Compliance And Mitigate Privacy Risks: Preserve valuable information while meeting data retention regulations.
  • Embrace Gen AI Without Privacy or Security Risks: Harness the power of Gen AI, ChatGPT, LLMs, and other publicly hosted AI models without compromising on privacy and security.
  • Share Data Without Sacrificing Compliance: Comply with privacy regulations and data residency requirements while sharing data with global teams and partners.
  • Ensure The Security Of Your Data In The Cloud: Protect your sensitive and personal data in the cloud. Gain control over your cloud data.
  • Create Synthetic Data: Harness real-world data for testing without compromising on privacy or security.
  • Achieve Data Retention Compliance with Anonymisation: Simplify compliance efforts and safeguard sensitive data.

Protect your enterprise data across the AI lifecycle.