ArkoInc.

Products/ComplyGate

ComplyGate
compliance-enforce

A stateless HTTP sidecar deployed alongside your application. It scrubs PII in transit, routes DSR requests across microservices, generates tamper-evident audit logs, and enforces bias metrics on hiring and ML workflows. It needs zero changes to your application code.

PII Scrub

NER-based redaction before analytics

DSR Router

Automated deletion request fulfillment

Audit Trail

Tamper-evident structured event logs

Bias Check

Four-fifths rule enforcement at runtime

Use cases & case studies

01 / E-Commerce · Retail

Global retailer automates 'right to be forgotten' and saves 40 hrs/week.

The problem

Hundreds of 'delete my data' requests (CCPA/GDPR) arrive every month. Processing them by hand across dozens of microservices burns weeks of engineering time and risks regulatory SLA breaches.

The use case

Automated Data Subject Request (DSR) fulfillment.

Using the /v1/dsr/* endpoints to unify DSR intake, route dispatch events to downstream systems, and track fulfillment deadlines automatically across all microservices from a single control plane.

API surface

/v1/dsr/submit/v1/dsr/status/v1/dsr/dispatch

Case study result

A multi-national e-commerce brand faced a massive backlog of CCPA deletion requests. Manual deletion across billing, marketing, and shipping microservices was slow and error-prone. By deploying ComplyGate, they centralized DSR intake. The sidecar automatically dispatched deletion events to all necessary systems and tracked compliance against legal deadlines. Engineering saved 40 hours a week and eliminated all regulatory SLA breaches.

INBOUNDREQUESTComplyGatePII ScrubDSR RouterBias CheckConsent LedgerYOURAPPAUDIT LOGPII REDACTEDbefore analytics

Outcomes

40 hrs

saved per week on manual DSR processing

Ongoing

0

regulatory SLA breaches since deployment

Post-launch

< 2 days

average DSR fulfillment time

vs 3 to 4 weeks

02 / Finance · Digital Banking

Neobank secures transaction logs and analytics pipelines.

The problem

Regulators demand strict, immutable audit logs for all transactions. Analytics teams need access to transaction data, but exposing raw PII (SSNs, account numbers) into BI tooling violates privacy laws.

The use case

Real-time PII redaction and structured audit event generation.

Using /v1/scrub-pii to anonymize data before it reaches analytics, and /v1/audit/event to generate structured, tamper-evident logs for every sensitive transaction. One layer satisfies both operational and regulatory requirements.

API surface

/v1/scrub-pii/v1/audit/event/v1/audit/trail

Case study result

A digital challenger bank struggled with inconsistent audit trails across its microservice architecture and feared PII was leaking into BI tools. ComplyGate, deployed in their Kubernetes cluster, intercepted traffic and used NER models to scrub PII before data reached the analytics warehouse. At the same time, it generated structured, tamper-evident audit logs for every sensitive transaction, and satisfied regulatory auditors on day one.

INBOUNDREQUESTComplyGatePII ScrubDSR RouterBias CheckConsent LedgerYOURAPPAUDIT LOGPII REDACTEDbefore analytics

Outcomes

Day 1

regulatory audit satisfaction after deployment

Neobank

100%

of analytics events PII-scrubbed before warehouse

Automated

Zero

manual audit log maintenance burden

vs 12 hrs/wk

03 / HR Tech · Agentic AI

Hire-a-Mind achieves multi-jurisdiction compliance across its agentic assessment pipeline.

The problem

Post-interview candidate assessment platforms built on multi-agent AI pipelines face compounding compliance risk. Each agent decision layer has to independently satisfy EEOC bias rules, GDPR and CCPA consent requirements, and jurisdiction-specific hiring laws. One non-compliant agent in the chain can invalidate the entire assessment.

The use case

Per-agent bias enforcement and cross-jurisdiction consent ledger.

Each agent tier in the hiring pipeline calls /v1/bias/four-fifths after producing its scoring output, ensuring no demographic skew propagates up the hierarchy. The /v1/consent/* ledger records granular, time-stamped consent receipts per candidate per assessment stage, satisfying both GDPR's purpose-limitation principle and CCPA's opt-in requirements.

API surface

/v1/bias/four-fifths/v1/consent/record/v1/consent/verify/v1/audit/event

Case study result

Hire-a-Mind (Inument Solutions) is a multi-hierarchical agentic hiring intelligence platform that assesses candidates post-interview through a layered network of AI agents, each one evaluating a distinct dimension such as communication, technical aptitude, or culture alignment. Expanding into the US and EU at the same time, the platform needed every agent tier to independently pass EEOC four-fifths fairness thresholds. ComplyGate enforced bias checks at each agent boundary in real time and automatically halted assessments when any tier produced a statistically skewed output. The consent ledger provided cryptographically verifiable proof that each candidate had opted in to the specific assessment stages their data passed through. That satisfied auditors in both jurisdictions from a single compliance layer, without touching any agent logic.

Case study: Hire-a-Mind by Inument Solutions

INBOUNDREQUESTComplyGatePII ScrubDSR RouterBias CheckConsent LedgerYOURAPPAUDIT LOGPII REDACTEDbefore analytics

Outcomes

2

jurisdictions (US + EU) satisfied from one compliance layer

EEOC + GDPR

Zero

agent logic changes required

Sidecar pattern

100%

of assessments with cryptographic consent receipts

Immutable ledger

Deployment

One sidecar.
All the compliance.

ComplyGate runs as a sidecar container alongside your application in Kubernetes, ECS, or any container orchestration platform. Traffic routes through it on the way in and out. Your application sees clean, compliance-filtered requests. Your compliance team sees the evidence trail they need.

Configuration is declarative: specify which compliance framework applies (GDPR, CCPA, EEOC, PIPEDA), which PII patterns to scrub, and which endpoints to audit. The sidecar does the rest. There is no SDK to integrate, no application changes, and no compliance logic scattered across services.

The audit log output is structured JSON, compatible with Splunk, Datadog, Elastic, and any log aggregation pipeline. The consent ledger is cryptographically signed and exportable as a regulator-ready evidence package.

Talk to us about ComplyGate

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.

Book a strategy callor email hello@arkoinc.ca