Compliance auditors ask one question over and over: "show me every place this data flows." Today you answer with five weeks of grep, spreadsheets, and a Confluence page nobody trusts. ArgosBrain answers in five minutes — deterministic data-flow proofs across HIPAA, SOC 2, PCI-DSS, FedRAMP, and SOX. Auditor-friendly evidence packs. $0 per query. Local-first. Complementary to Drata, Vanta, and SecureFrame.
Every regulated SaaS team runs the same fire drill four times a year: SOC 2 surveillance, HIPAA risk assessment, PCI-DSS attestation, and the annual SOX 404 walkthrough. The auditor sends a Request For Evidence with 50-200 controls. For each one, an engineering lead has to prove — not just attest — that the code actually does what the policy says it does.
Today that proof is grep + Excel + Confluence. Engineering teams burn ~$50K per audit cycle in human time alone, and the artifacts produced are spreadsheets the next auditor distrusts on sight. HIPAA fines reach $2M per violation. PCI-DSS non-compliance costs $25K-$100K per month. FedRAMP delays push contracts back two quarters. The math punishes the unprepared.
"The auditor wanted to see every place a SSN touches a log emitter across 1.4M lines of TypeScript. We had two weeks. The team grep-walked it for 8 days, missed three sites, and the auditor caught two of them anyway. Embarrassing."
— VP Engineering, healthcare SaaS (anonymized, post-HIPAA Type II)
Math per audit cycle: 200h × $250/h = $50K of human triage time. Four audits per year = $200K/year on top of the GRC-platform license ($60K-$120K) and the auditor's invoice ($80K-$300K). The artifacts produced have negative shelf life — next quarter, you start over.
$ argosbrain ingest . ✓ ingested 38,771 symbols, 232,756 call-graph edges (4.2s) $ /argos-compliance-proofs --framework=pci-dss --kind=cardholder ✓ 3 cardholder sources identified - request body field `card.number` (api/payment.ts:18) - JWT claim `payment_token` (auth/jwt.rs:142) - DB column `payments.cc_pan_masked` (db/schema.sql:67) ✓ 47 sink reachability checks across 12 sink kinds ✓ Evidence pack written: ./argos-evidence/pci-dss-2026-04-28.json
The structural finding the auditor cares about:
PCI-DSS 3.4 (Mask PAN when displayed) · Reachability scan Sources: 3 | Sinks scanned: 47 | Path budget: max_depth=8 ⚠ 2 paths reach UNMASKED log emit: payments/process.ts:48 → util/log.ts:12 (raw `cc.number` field) ├── 4-hop call chain via `chargeCard()` → `auditTrail.write()` └── triggered by POST /api/charge (public-facing) admin/dashboard.tsx:103 → console.log (browser DevTools) ├── developer leftover; reachable from authenticated admin only └── still violates 3.4 — auditor will flag ✓ 45 sinks structurally unreachable. Evidence attached per finding. EVIDENCE PACK reproducible: yes (deterministic over canonical AST hash) file:line citations: 47 call-graph paths: 47 ingest hash: blake3:9f2c...8b1a framework tags: PCI-DSS 3.4, SOC 2 CC6.7, HIPAA §164.312(c)(2) cloud calls: 0 · LLM calls: 0 · audit-friendly: yes
Two findings to fix. 45 controls auto-attested with structural proof. The evidence pack is byte-reproducible, hash-stamped, and accepted as-is by AICPA, HHS OCR, and PCI Council assessors. Re-run on every CI build to catch regressions before the auditor does.
| Metric | Today (grep + Excel + Confluence) | With ArgosBrain on top |
|---|---|---|
| Time per audit cycle | ~200 hours / 5 weeks | ~5 minutes per framework |
| Engineer cost | $50K / audit · $200K / year | $0 per query |
| Evidence type | Word + Excel + screenshots | Deterministic JSON, hash-stamped |
| Reproducibility | No (manual narrative) | Yes (re-run any time, byte-identical) |
| Miss rate on data flow paths | ~12% (auditor catches the rest) | 0% within depth budget · structural completeness |
| Re-run on next quarter's audit | Rebuild from scratch | One CLI call · cached behind content hash |
| Frameworks covered | Spreadsheet per framework | HIPAA · SOC 2 · PCI-DSS · FedRAMP · SOX — single ingest, multi-tag |
Numbers measured against the Kubernetes 1.32.0 corpus (17,171 files, 38,771 symbols, 232,756 edges). See the Kubernetes audit case study for the full reproducible run.
No. GRC platforms like Drata and Vanta track POLICY (do you have an access-control policy written down). ArgosBrain proves IMPLEMENTATION (does the code actually enforce that policy). They are complementary — most regulated SaaS teams use both. Export ArgosBrain evidence packs into your GRC tool as supporting artifacts.
HIPAA Security Rule (§164.308 administrative, §164.312 technical), SOC 2 Type II Common Criteria (CC6 access, CC7 ops), PCI-DSS 4.0 (§3 cardholder data, §6 secure code, §10 logging), FedRAMP Moderate / High, SOX §404 IT general controls. Every output is framework-tagged in the evidence pack JSON. Custom internal frameworks supported via tagging extension.
Yes. Outputs are deterministic, reproducible, and contain file:line citations plus the exact call-graph path. Auditors prefer structural proof over written attestation — it's faster for them to validate. The evidence pack format mirrors AICPA SOC 2 sample templates and HHS OCR HIPAA audit protocol structures. Pre-validated with two compliance consulting firms; reach out via /contact for the partner list.
It traces structural data flow from any source you mark as sensitive — function parameter, struct field, request body key, DB column comment annotation, regex pattern. Most teams already maintain that mapping for GDPR Article 30 records of processing. The skill /argos-pii-flow-mapper auto-detects common patterns (email, SSN, credit card, JWT, etc.) and you tag custom domain types in 5 minutes.
Yes. Local-first by default. Pro and Enterprise tiers support fully air-gapped deployment — no source code leaves the network, no LLM in the retrieval path, no telemetry. Free tier transmits no source code, no file paths, no query content. FedRAMP Moderate clients have gone fully air-gapped on Enterprise; case study available under NDA via /contact.
Sub-millisecond P99 retrieval after first ingest. Initial ingest of a 250k-LOC monorepo runs in under 90 seconds; the Kubernetes audit corpus (38,771 symbols, 232,756 edges) ingests in 4.2 seconds. Re-runs on subsequent audits skip unchanged files via blake3 content hash — typically 1-2 seconds for the deltas only.
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