watsonx Assistant provides large, complex and data-sensitive organizations with the chatbot security and scalability capabilities you need to safeguard against hackers and misuse of customer data, and support your virtual agent during peak times.
watsonx Assistant gives you control over your data and insights including the ability to adjust what data is shared and recorded across instances.
To meet the additional needs of enterprise organizations, optional data isolation provides a single tenant data store environment that is physically isolated and not shared with any other user accounts.
Know that your data is secure with encryption at rest and in transit using the advanced encryption techniques, as well as options for private endpoints.
We support your data’s and app’s protection against vulnerabilities and chatbot security risks by performing internal and external penetration testing, chatbot security testing, and ongoing reviews.
Choose who in your organization can view and who can edit individual skills, assistants, and entire instances.
Track what updates were made to skills and assistants to better understand critical actions as they happen.
Frequently asked questions
watsonx Assistant is ISO certified for information security, chatbot security, and data protection in chatbots to meet the high standards of enterprise organizations.
Most of the Watson services are stateless, which means that Watson does not store client data if a client instructs IBM not to use client data to train the base model. Audits are performed internally, but to protect chatbot security and the chatbot data privacy of our clients, we don't share the processes.
Watson is built on deep learning, machine learning and natural language processing (NLP) models to elevate customer experiences and help customers change an appointment, track a shipment, or check a balance. Watson also uses machine learning algorithms and asks follow-up questions to better understand customers and pass them off to a human agent when needed.
Try out the enhanced intent detection model. This new model, which is being offered as a beta feature in English-language dialog and actions skills, is faster and more accurate. It combines traditional machine learning, transfer learning and deep learning techniques in a cohesive model that is highly responsive at run time. For more information, see Improved intent recognition.
IBM is committed to providing our clients and partners with innovative data privacy, security and governance solutions to assist them on their journey to GDPR compliance.
Learn more about IBM's own GDPR readiness journey and our GDPR capabilities and offerings to support your compliance journey here.
US Health Insurance Portability and Accountability Act (HIPAA) support is available for Enterprise plans that are hosted in the Washington, DC or Dallas locations. For more information, see Enabling EU and HIPAA supported settings.
Do not add personal health information (PHI) to the training data (entities and intents, including user examples) that you create. In particular, be sure to remove any PHI from files that contain real user utterances that you upload to mine for intent or intent user example recommendations.