Astralis Overview: Assessments powered by AI

What this video covers

Astralis automates privacy and AI governance assessments, including DPIAs, TIAs, FRIAs, and vendor risk assessments. Most assessment automation today means sending questionnaires to data stewards and chasing the answers. Astralis works the other way around: it gathers evidence from connected systems, data maps, and prior reports, infers the answers, and only involves people for the questions evidence cannot settle. It is powered by the Astralis Large Language Risk & Regulatory Model (LLRM), purpose-built to collect evidence and make risk observations on your behalf.

This video walks through:

• Generating an assessment automatically for any system or processing activity, shown here as a FRIA for the EU AI Act on a marketing LLM
• Auto-populating answers from connected systems, data maps, and prior reports, with linked evidence behind every answer
• Opening a conversation with the data steward in Slack or Teams when information is missing, and coaching non-experts through each question
• Synthesizing every source into a standard assessment format for DPIA, TIA, FRIA, or other frameworks
• Pairing each assessment with a durable audit trail you can inspect, sign, and store as evidence

How it works

Astralis generates the assessment and completes its core sections from observation of connected systems, citing the evidence it used for each answer. Where it lacks an answer, it reaches the relevant data steward in Slack or Teams, explains what it needs in plain language, and records the exchange. It then collates system metadata and conversation history into a single reviewable assessment, and produces a signed, auditable report that maintains the record of processing.