UK-first privacy operations workspace
Find personal data, trace it to source files and produce DSAR-ready outputs.
Upload exports and archives as ZIP bundles. Validate intake, run security scanning, and map personal data back to the exact assets and paths for practical remediation. Generate evidence-backed DSAR exports with governed AI support.
Intake → mapping
Validated intake
Upload ZIP bundles with intake guardrails and malware scanning.
Exposure mapping
Classify personal data categories and link findings back to source assets and paths.
DSAR → audit-ready outputs
DSAR workflow
Search subjects, de-duplicate matches, apply masking and assemble evidence bundles.
Audit-ready outputs
Produce stakeholder reports with traceable evidence and governance context.
Overview
Analytics Scope
Viewing 30 days · All uploads
Overview
Total exposure detections in selection
One exposure = one detected data element
Asset risk distribution
Coverage across sources
Total assets analysed
Assets & Systems
Assets containing high-impact exposures
File Exposure
Highest exposure assets by volume and severity
Highest exposure concentration
Scanned 2 days ago
Across highest exposure assets
How it works
Three steps to operational privacy
Upload
Bring exports, archives, and case folders as ZIP bundles. Validated intake with malware scanning.
Map exposure
Classify personal data categories and trace findings back to source assets for practical remediation.
Produce outputs
Generate DSAR-ready bundles, masked evidence exports, and stakeholder-ready reports.
Trust & controls
Concrete defaults, stated plainly for privacy, security, and compliance teams.
Clear boundaries for intake, privacy-preserving handling of identifiers, least-privilege collaboration, and exportable outputs for DSAR and stakeholder reporting.
Intake controls (per upload)
Boundaries to keep uploads predictable and reviewable.
Privacy-preserving matching
Matching and de-duplication without storing raw identifiers as plain strings.
Evidence minimisation
Masked evidence views reduce exposure during triage and response preparation.
Role-based access
Controlled sharing for internal stakeholders without widening access.
Retention defaults
Designed for policy alignment and operational clean-up.
Outputs & governance
Exports for DSAR and stakeholder reporting, with governed AI where enabled.
Governed AI: Aggregate-only inputs • Draft output for human review • Audit logging available.
Why uploads-first
Controlled intake, not connector sprawl
Many teams rely on exports, shared folders, and ad-hoc archives. Sylure meets you where your data already is: bring exports from CRM, support, finance, and legacy systems as ZIP bundles.
Validated intake keeps scope clear. You control what enters the system, when, and from where. No connector maintenance, no credential sprawl, no unexpected syncs.
Bounded intake
Size limits, entry caps, and structure validation ensure uploads stay predictable and reviewable.
Auditable scope
Every upload is logged with timestamps, outcomes, and stage history for governance reviews.
Practical remediation
Findings map back to files and paths, so teams can act rather than live in dashboards.