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Most SMBs have no idea where their sensitive data actually lives. When a breach happens, the CEO asks: how many people do we notify? Nobody knows. When a regulator investigates, they find health records unencrypted on a shared drive — while the compliance checklist says "encryption: yes."
The tools that could answer these questions are enterprise class. And to cover compliance, risk, data protection, and AI readiness, you'd need two or three of them.
APOLLO Data Auditor changes this.
One open-source agent. Four modules. Based on real scanned data, not declarations.
→ Risk Exposure — your regulatory exposure quantified in € and $ under GDPR and CCPA. A number your CFO can act on.
→ Compliance — GDPR scored by article (Art. 5, 9, 30, 32), CCPA, NIS2, SOC2, DORA. From what your data actually contains.
→ Data Protection — breach impact simulation, ransomware readiness, encryption coverage. Know the cost before the incident.
→ Intelligence — AI Readiness scoring, data quality metrics, AI Act pre-compliance (Art. 10, Art. 15).
How it works:
A native Rust agent runs locally on Windows, Linux, macOS arm64. Scans files, databases (PostgreSQL, MySQL, MongoDB, SQL Server), cloud (OneDrive, SharePoint), Active Directory/LDAP. 44 PII types detected across 11 sources.
No data leaves your infrastructure. Only metadata and counters reach the cloud dashboard. Open source (BSL 1.1) — inspect every line that runs on your machines.
129 auditable scores with published formulas. No black box. Up to 1.16M rows/sec. Deployed in 48 hours. No consultant. No training.
Who it's for: DPOs, CISOs, CFOs, CTOs in SMBs and mid-market (10–1,000 employees). Also MSPs auditing multiple clients.
FREE Beta Program Launched. 5 sources, 60 scans, €0. No credit card required. No transactions. Full functionality.
Built by a solo founder with 25 years in data protection infrastructure. MIT Sloan AI Business Strategy.
→ https://apollo.aiia-tech.com
→ GitHub: https://github.com/ggabrie2025/apollo_data_auditor
Every file is a risk. Measure it.
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