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With current significant concerns about privacy and trust in AI, Dante AI emphasizes data privacy and security in chatbots through GDPR compliance and advanced, continuously enhanced security measures to protect business and user information.
Introduction to Data Privacy Concerns
In the rapidly evolving world of artificial intelligence, ensuring the privacy and security of data is paramount. A study by Coleman Parkes Research reveals a significant concern among AI decision-makers, with 80% expressing apprehensions about data privacy and security within generative AI technologies. This underscores the urgent need for robust security measures across the industry.
Dante AI's Approach to Secure AI Chatbots
At Dante AI, we prioritize trust and security in our technological solutions. Our AI chatbot is GDPR-compliant and features advanced security measures to protect data effectively. By integrating these stringent protections, we ensure that the information of your business and your end-users remains secure and private, allowing you to leverage AI with confidence.
Dante AI's Advanced Security Measures Using Encryption
We employ robust encryption techniques to ensure the security and privacy of our customers' data, both during transmission and while at rest. Here’s an overview of how these encryption methods are utilized:
Encryption at Transport (TLS)
Transport Layer Security (TLS) is used to secure data transmission between the user and Dante AI's services. TLS is a widely adopted security protocol designed to facilitate privacy and data security over communications channels.
By using TLS, we ensure that any data sent between the user’s device and their servers is encrypted, preventing eavesdropping and tampering during transit. This is crucial for protecting sensitive information from interception by unauthorized parties while it is being transferred over the internet.
Encryption at Rest (AES-256)
Once the data reaches Dante AI’s infrastructure, it is stored using Advanced Encryption Standard (AES) 256-bit encryption. AES-256 is one of the most secure encryption methods available and is used by governments and financial institutions worldwide to protect sensitive data.
By implementing AES-256 encryption for data at rest, we ensure that user data is protected even if there were to be a breach in the storage infrastructure. This means that the user-uploaded files are stored encrypted and can only be decrypted by the authorized backend system of Dante AI. The generated embeddings, which are the output of our pipeline after processing a file, are stored to Pinecone (an SOC2 Type II & GDPR compliant partner). All the data remain in Europe.
Our Ongoing Commitment to Enhanced Security
Our commitment to a very high level of data security and privacy extends beyond mere compliance. We continuously enhance the security features of our AI products to guard against evolving threats. This proactive approach helps businesses fully exploit the vast potential of AI without security concerns.
By partnering with Dante AI, you choose a provider that values the security and privacy of your data as much as you do. We guarantee our chatbot solutions are dependable and secure, around the clock, every day of the year.
You can also read more about our commitment to GDPR compliance here and current market concerns here.
FAQ
What other additional security layers does Dante AI have?
AWS EC2 and VPC: The infrastructure is hosted on Amazon Web Services (AWS) EC2 instances within a Virtual Private Cloud (VPC). This setup restricts access to the data, ensuring it is only accessible within a secure, isolated network environment.
SOC2 Type II Compliance: The embeddings generated from user data are stored in Pinecone, a vector database that adheres to SOC2 Type II compliance, further ensuring the security and privacy of the data.
AWS RDS: Conversations and other raw data are stored in AWS Relational Database Service (RDS) tables, which are also protected by the same stringent security measures.
