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Financial Services / Fintech Illustrative scenario Series B → growth-stage

Pattern · Fintech Continuous Compliance

What the operational deployment pattern looks like when a fintech runs CTEM against PCI DSS, SOC 2, and DORA evidence requirements simultaneously.

Representative scenario. Drawn from common deployment patterns we work with. Specific company names, exact metrics, and timeline details are anonymized or composite. Real attributed customer stories will appear here as agreements complete — become a reference customer.
PCI DSS · SOC 2 · DORA
Compliance frames in scope
Continuous · event-driven
Evidence cadence
Web · API · Cloud · Code
Surface coverage
Filtered export
Audit-pack assembly

The shape of the problem

Mid-stage fintechs hit a procurement wall: enterprise deals are blocked behind SOC 2 Type II, PCI DSS 4.0 is mandatory for payment systems, and DORA (operational resilience) is starting to surface in EU bank counterparty questionnaires. Three frameworks, one small security team, infrastructure that ships every sprint.

The recurring gaps a CTEM deployment closes for this profile:

  • SOC 2 CC7.1 — continuous vulnerability management evidence. Quarterly scans leave evidence gaps that auditors flag immediately.
  • SOC 2 CC6.1 — access review documentation across every service. Manual quarterly process is unsustainable beyond a few dozen services.
  • PCI DSS 4.0 Requirement 11.3 — quarterly vulnerability scanning of payment systems. Legacy scanners often have no awareness of modern API endpoints or microservice architectures.
  • PCI DSS 4.0 Requirement 6.4 — validated protection of public-facing web applications. WAFs are deployed but rarely tested against actual attack patterns.
  • DORA — continuous testing evidence rather than annual reports.

Compliance mapping done by hand is the universal symptom. Spreadsheet cross-referencing across frameworks consumes weeks per audit cycle.

What the deployment pattern looks like

A CTEM deployment for fintech consolidates the compliance evidence problem into a single pipeline:

Compliance framework mapping happens at finding-write time. Every finding is tagged with applicable SOC 2 Trust Services Criteria (CC6.1, CC7.1, CC7.2, CC8.1), PCI DSS 4.0 requirements (6.4, 11.3, 11.4), OWASP Top 10 categories, and CIS Controls. Auditor evidence requests become filtered exports — not weeks of spreadsheet work.

Continuous scanning produces timestamped evidence of vulnerability identification and remediation for every day of the audit observation period. This directly closes the SOC 2 CC7.1 gap that quarterly scanners cannot.

Event-driven CI/CD scanning triggers targeted re-validation on every production deploy. The audit trail proves security testing occurred with every release — exceeding SOC 2 requirements and creating defensible DORA continuous-testing evidence.

Real-time compliance dashboard gives the CISO and CTO continuous visibility into control coverage, open findings by compliance category, remediation SLA adherence, and trend data across all frameworks simultaneously.

Operational characteristics

When a fintech runs this pattern, four things change about how the program operates:

  • Audit-pack assembly moves from weeks of manual work to a filtered export. The same finding carries SOC 2, PCI DSS, and DORA tags; one query produces the evidence pack for each.
  • Evidence cadence becomes continuous. Auditors stop accepting “we ran a scan in Q2” as proof of continuous monitoring — the timestamped finding-and-remediation log is what they ask for now.
  • Coverage gaps close: every microservice, every API endpoint, every cloud resource, every repository feeds into the same validation pipeline. Nothing ships to production without going through it.
  • The compliance team shrinks the workload, not the rigor: automation handles the cross-walks; humans handle the judgment calls (suppression decisions, risk acceptance, exception documentation).

What this pattern does not do

CTEM is not a substitute for the human compliance work — DPA negotiation, MSA review, sub-processor diligence, control-design decisions, governance committee approvals. The platform produces the evidence that those processes consume. The processes themselves stay where they should: with humans who can weigh tradeoffs.


This page describes a representative deployment pattern. As real customers go on the record, attributed stories with specific outcomes will appear separately — see the customer index for current state.

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