How Sylure Uses AI
We use AI to help privacy teams work faster. Here's exactly what it does, what it doesn't do and how we protect the data it touches.
What Sylure AI Does
DSAR Discovery & Risk Reports
What it does
Generates two structured outputs from DSAR search results: a discovery briefing covering what personal data was found, where and in what categories, and a risk assessment with GDPR exemption screening and recommended actions. Pre-computed analytics including risk composition, anomaly detection and complexity scoring are calculated server-side before the AI processes anything.
Human role
All AI-generated text is clearly labelled as draft output for human review. Users must review and approve before any report is exported or shared.
Analytics Explanations
What it does
Generates context-specific explanations across four areas: dashboard risk overview, asset concentration analysis, personal data composition breakdown and board-ready executive summaries. Each explanation is scoped to active filters and time range, with prioritised focus areas and actionable recommendations.
Human role
Explanations are generated on demand and scoped by the user. AI summaries complement, not replace, the underlying data.
Post-Upload Executive Summary
What it does
Automatically generates a board-ready executive summary after every upload scan completes. Covers key risks, remediation priorities and exposure breakdown across all assets in the upload. No user action required.
Human role
Summaries are cached and available on the analytics dashboard. Users can regenerate or review alongside the raw data at any time.
Anti-Hallucination Protocol
Every AI prompt enforces a strict protocol that prevents the model from inventing information or making unsupported claims.
Evidence-grounded only
AI uses only facts explicitly present in provided data. It never invents data origins, business purposes, recipients or retention periods.
Pre-computed analytics
Risk calculations, anomaly detection and complexity scoring are computed server-side before the AI sees anything. The AI synthesises pre-calculated insights, not raw data.
Number traceability
Every number in AI output must trace back to the source data. Counts, percentages and risk bands are validated against the input.
Uncertainty handling
When information is missing, AI states "Not determined from available data" rather than filling gaps with assumptions.
What Sylure AI Does Not Do
No automated decision-making about individuals
AI helps categorise data. It does not make decisions about data subjects.
No raw personal data in AI payloads
AI analytics use aggregate-only data. Raw personal data values are not sent to AI models for processing.
No AI training on your data
Customer uploads are not used to train or fine-tune AI models.
No unsupervised outputs
Every AI-generated output is a draft for human review. Nothing is exported or actioned without user confirmation.
No legal advice
AI frames regulatory considerations as "may require review". It never gives definitive compliance conclusions or legal recommendations.
Next step
See how AI helps your privacy team
Walk through AI-assisted discovery, draft reporting and the human review process that keeps everything accountable.