ArkoInc.

Products/ReguScan

ReguScan
compliance-assess

A static and runtime scanner that plugs into your CI/CD pipeline. Every pull request is checked against your compliance framework before code merges. You skip the manual audits, and certification day holds no surprises.

GDPR

Data subject rights, consent, retention

PIPEDA

Canadian privacy law alignment

HIPAA

PHI handling and audit trail rules

Use cases & case studies

01 / SaaS · FinTech

FinTech startup unblocks $1M+ enterprise pipeline.

The problem

Enterprise customers require proof of SOC 2, GDPR, or PIPEDA compliance before signing contracts. Startups often lack the security team to audit a growing codebase by hand, and the sales cycle stalls for months.

The use case

Automated pre-merge compliance checks.

Developers integrate ReguScan into GitHub Actions. Every pull request is automatically scanned for missing audit trails, hardcoded PII, or missing retention policies, and non-compliant code is blocked before it merges.

Compliance rules enforced

GDPR Art. 17 DSRPIPEDA Principle 4.3SOC 2 CC6.1pii-in-logsmissing-dsr

Case study result

A fast-growing B2B FinTech startup kept losing enterprise deals during the security vendor assessment phase. ReguScan flagged missing DSR handlers and hardcoded PII logging. The team fixed those gaps before their official GDPR audit, certified 3 months ahead of schedule, and closed three enterprise deals worth over $1M.

Impact

MONTHS TO CERTIFICATIONBefore9moAfter6mowith ReguScan
PR openedReguScanFindings reportMerge / Block

02 / MedTech · Healthcare

Telehealth platform prevents catastrophic PHI leak.

The problem

Healthcare apps handle highly sensitive PHI. A single mistake, like logging a patient's medical ID to a central log server, can trigger steep HIPAA or Law 25 fines and destroy patient trust overnight.

The use case

Preventing PII/PHI leakage in application logs.

The scanner uses pii-in-logs and missing-consent rules to proactively catch sensitive data exposure in the code itself, before it ever reaches a log aggregation system.

Compliance rules enforced

HIPAA §164.312PHIPA s.12Law 25 (Quebec)pii-in-logsmissing-consent

Case study result

A telehealth provider made ReguScan a mandatory check on all backend services. During a routine feature update, a junior developer accidentally included patient email addresses and health card numbers in a plain-text debug log. ReguScan blocked the pull request automatically, citing a high-severity pii-in-logs violation, and stopped a production breach that could have cost millions in regulatory fines.

Impact

PHI EXPOSURE INCIDENTSBefore12/yrAfter0/yrwith ReguScan
PR openedReguScanFindings reportMerge / Block

03 / AI · Machine Learning

AI assistant prepares for the EU AI Act.

The problem

With the EU AI Act and strict data governance laws, AI companies must prove they have strict controls over data retention and the ability to delete user data upon request (Right to be Forgotten).

The use case

Proving AI data governance and DSR compliance.

Using the tool to map and verify that data pipelines include mandatory deletion endpoints (missing-dsr) and data expiry logic (missing-retention), producing an auditable evidence trail for regulators.

Compliance rules enforced

EU AI Act Art. 10GDPR Art. 17missing-retentionmissing-dsr

Case study result

An AI transcription service needed to guarantee that user audio data used for model training could be deleted on request. A first ReguScan run with the EU profile turned up no data retention policy and no deletion mechanism at all. The engineering team used the findings to build the required handlers, then expanded into the European market.

Impact

DAYS TO EU AUDIT READINESSBefore180dAfter45dwith ReguScan
PR openedReguScanFindings reportMerge / Block

How it works

Compliance checks
at the merge gate.

ReguScan runs as a GitHub Actions check, GitLab CI job, or standalone CLI binary. Plug it in once and every pull request inherits your full compliance rule set, scoped to the frameworks your industry requires.

Findings are surfaced directly in the pull request as inline annotations, with severity labels, the relevant regulation citation, and a remediation hint. High-severity findings block merge; medium findings surface as warnings. The configuration is a single YAML file committed alongside your code.

The findings report is machine-readable (JSON + Markdown) and doubles as the compliance evidence artifact your auditors ask for. There is no separate audit preparation and no spreadsheet exports.

Talk to us about ReguScan

Free strategy call

Thirty minutes.
Three concrete recommendations.

We review your current technology landscape, identify your top three risks, and tell you what to do next. No deck, no commitment — just senior judgement, on the record.