How does DataGrail ensure the privacy and security of data used by its AI?
DataGrail's AI is designed with a privacy-first approach, meaning it is exclusively trained on anonymized and aggregated data. This methodology allows the AI to provide powerful insights and automation without compromising the privacy or security of individual personal data.
What types of privacy risks can DataGrail help identify and mitigate?
DataGrail helps identify and mitigate a wide range of privacy risks, including those related to personal data collection, system usage, process vulnerabilities, and AI applications. It also provides visibility into sensitive personal data processing and 'shadow AI' to enable proactive risk management.
How does DataGrail handle Data Subject Requests (DSRs) and opt-outs?
DataGrail automates the fulfillment of DSRs and opt-out requests. Leveraging its industry-leading integration network of over 2,400 connections, it can process even complex requests in minutes, significantly reducing the time and effort compared to manual processes.
Can DataGrail assist with various types of privacy assessments?
Yes, DataGrail provides pre-built templates and AI-populated fields to streamline the creation of various privacy assessments, including Data Protection Impact Assessments (DPIAs), Privacy Impact Assessments (PIAs), and AI risk assessments, helping organizations uncover privacy risks across their operations.
What kind of support does DataGrail offer to its customers?
DataGrail offers best-in-class support through its success team, which acts as an extension of a client's privacy program. This includes deep technical and privacy expertise from the initial setup through ongoing operations, ensuring comprehensive assistance.