Astralis Overview: AI Native Regulatory Reporting

What this video covers

Astralis builds and maintains regulatory reports such as RoPAs (Records of Processing Activities) by continuously monitoring your data estate. It detects assets across warehouses, databases, vendors, cloud providers, single sign-on platforms, and websites, classifies them with the Astralis Large Language Risk & Regulatory Model (LLRM), and assembles the metadata needed to generate Article 30 records and other reports into predefined regulatory templates.

This video walks through:

• Continuous monitoring across data warehouses, databases, vendors, cloud providers, SSO platforms such as Okta and Entra, and websites
• Automatic detection, classification, and human-readable descriptions of vendors and systems, including Salesforce, Zendesk, and Google Cloud
• One-click approval to add a detected system and its processing activities to your record of processing
• A RoPA grouped by processing activity, with data categories, subject types, legal bases, transfer mechanisms such as standard contractual clauses, and security controls
• New assets categorized automatically and folded into reports as you approve them, with the same insights feeding assessment risks

How it works

Astralis monitors the enterprise estate and surfaces detected assets in an action center. Each vendor or system arrives with a generated description and assigned processing activities, and you add it to the system inventory by approving it. As assets accumulate, they consolidate into a single RoPA organized by processing activity, complete with the categories of personal data, subject types, legal entities, and security controls each report needs. Because detection runs continuously, new assets are classified and integrated as you review them, and those findings also populate the privacy risk register.