APOLLO Data Auditor scans files, databases, and cloud. You get your financial exposure in euros and dollars — not an abstract score.
But a regulator or a breach will find it.
or EUR 20M per infringement. Whichever is higher applies — Art. 83 GDPR.
per violation, no cure period. Statutory damages $100–$750 per affected person.
or 7% of global annual turnover for providers of prohibited AI systems. Whichever is higher applies — Art. 99 EU AI Act.
for companies with fewer than 500 employees. 68% of breaches involve a human factor.
35% of companies don't know where their sensitive data is. (Forrester, State of Data Security, 2025)
A native packaged binary (PyInstaller), installed in minutes by your internal IT on Windows or Linux. No dependencies, no server. Your data never leaves your infrastructure.
12 connectors: PostgreSQL, MySQL, MariaDB, MongoDB, SQL Server, OneDrive, SharePoint, Active Directory/LDAP, Pennylane (ERP), local files, NFS/SMB shares. 44 PII types detected automatically.
Clear score, financial exposure in EUR and USD, prioritized action plan with impact. You decide with full knowledge.
Each tab covers a specific topic.
Your GDPR and CCPA financial exposure quantified in euros and dollars. Not an abstract score: a precise amount with regulatory articles and corrective actions.
Where you stand article by article. Not a declarative checklist — automated scoring based on your scanned data.
Full inventory of what you store, how it's protected, and what happens when things go wrong. Infrastructure, backup, and disaster scenarios — measured, not guessed.
Assess the quality and maturity of your data for AI projects. AI Readiness scores and EU AI Act pre-compliance.
Summary view — The Summary view calculates in real time the impact of your priority actions: if you address P1 actions this week, what will your compliance grade be — and what does inaction cost you?
Calculated on your actual parameters — Enter your revenue, company size and sector. Financial exposures are calculated on your actual parameters — not the theoretical maximum. Benchmarks regularly updated from official GDPR, CCPA, NIS2 and AI Act texts and published enforcement decisions.
Native packaged binary (PyInstaller), zero runtime dependencies. Benchmarks validated on OVH infrastructure, January 2026.
| Source | Throughput | Volume tested |
|---|---|---|
| SQL Server | 1,160,000 rows/s | 21.2M rows |
| PostgreSQL | 801,000 rows/s | 59.3M rows |
| MySQL | 527,000 rows/s | 37.7M rows |
| MongoDB | 478 000 docs/s | 100M docs |
| Local files | 43–171 files/s | 284K files |
| Cloud SharePoint | 118.6 files/s | 71K files |
| Pennylane (ERP) | API connector | accounting data |
Where others declare (questionnaires), scan a single perimeter (cloud-only or backup-bundled), or charge 6 figures. APOLLO Data Auditor measures all 4 axes (Privacy · Compliance · Protection/Resilience · Data Quality & AI) at SMB pricing.
Not 4 to 6 weeks. No consultant. One binary, one API key, you're up.
A precise amount in euros and dollars. Not an abstract red/orange/green score.
Native packaged binary. Published and verifiable throughputs. No competitor publishes theirs.
Cloud DSPMs don't read local files. APOLLO Data Auditor scans file servers, application servers, databases — the on-premise perimeter cloud-only solutions cannot reach.
Your data never leaves your infrastructure. Only metadata is transmitted.
The same insights as enterprise solutions — at a fraction of the cost.
Declarative, single-perimeter, or 360° measured. APOLLO Data Auditor covers all 4 axes Privacy · Compliance · Protection/Resilience · Data Quality & AI at SMB pricing.
Covering on-premise + cloud + databases + Active Directory + SaaS via multiple best-of-breed tools costs, on real contracts (Vendr medians), ~$266,000 to $767,000/year (median ~$433,000/year).
APOLLO Data Auditor consolidates every connector into one agent, one SMB license < €5,000/year — an order of magnitude of ~50× to ~150× less for the same scan breadth.
Honest disclosure: these platforms deliver continuous protection and remediation. APOLLO Data Auditor = measured audit + €/$ quantification of the same surface breadth, not functional parity. It's a quantified starting point, not a substitute for runtime protection.
14 verified competitors (April 2026). None covers the 4 axes simultaneously under €5,000/yr.
All communications between the agent and the cloud Hub are encrypted via TLS 1.3. No data ever travels in clear text, even on your internal network.
The agent only sends counters and metadata (e.g. "156 IBANs detected"), never the PII values themselves. Zero data persistence on the cloud side.
Each client is isolated by a unique API key. Authentication middleware protects 100% of API routes. No cross-client access is possible — audited and validated in production.
All scoring algorithms and calculation formulas stay cloud-side. The agent installed on your premises is a pure collector — no business logic is exposed.
Connectors (Database, Cloud) are blocked server-side based on your subscription — not just in the UI. Your API key is the single source of truth.
The agent is a native packaged binary (PyInstaller). No external dependencies, no runtime to install. Setup in minutes by your internal IT on Windows or Linux.
I published the source code because asking a DPO to trust a black box to audit their data is a contradiction. Verify every claim yourself.
$ git clone https://github.com/ggabrie2025/apollo_data_auditor
$ python3 -m pytest critical/agent/test_no_pii_content_in_export.py -v
# 5 passed — if any test fails, we're lying.
$ netstat -an | grep apollo-agent
# Only connection: Hub Cloud (443/TLS). Zero third-party analytics.
$ jq '.scores' scan_result.json
# null — scoring is 100% server-sideA server = a single machine (server or workstation) running the agent and scanning its local files, accessible SMB/NFS shares, databases, cloud sources, and LDAP/AD. A server hosting 3 databases counts as 1 server. APOLLO Data Auditor does not perform network scans.
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Features driven by early user feedback.