How long did this engagement take, and could a smaller team run through it faster?

This engagement ran 4 months, driven by the scope of two card networks and a banking partner requesting evidence simultaneously. A smaller platform with a single acquiring relationship and fewer legacy services could realistically complete the same secrets-rotation, pipeline-hardening, and evidence-library work in 6-8 weeks.

What was the biggest risk during the rollout, and how was it managed?

The biggest risk was breaking payment processing while replacing static service account keys with short-lived tokens, since any credential outage on the highest-risk services could halt transactions. The team migrated the riskiest services first but rolled out Vault-issued dynamic secrets service by service with fallback windows, so no single cutover could take down payment processing.

Does this approach work if we're not using Kubernetes or HashiCorp Vault?

The specific tools were chosen for this client's existing stack, but the underlying pattern — short-lived workload identity, immutable signed artifacts, and default-deny network egress — applies on any orchestration platform or secrets manager, including AWS Secrets Manager, ECS, or Nomad. The pipeline and evidence-collection logic is portable; only the tool-specific integration changes.

Did tightening security slow down releases?

No. Release cadence was maintained at weekly cycles throughout the engagement because security controls were moved earlier into the pipeline — automated dependency scanning and DAST on every merge — rather than added as a manual gate before deploy. Teams saw security findings in their normal workflow instead of at the last minute, which reduced friction rather than adding it.

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Financial ServicesDevOps ConsultingSecurity & Compliance

Fintech Payments Platform Hardening

Tightening secrets, pipelines, and runtime controls for a card-present and online payments stack that had grown faster than its security operating model, ahead of a wave of bank and processor re-certifications.

Stronger assurance for auditors and partners without freezing releases

Client

Confidential — payments fintech

Industry

Financial Services

Timeline

4 months

Technologies

7+ tools

The Challenge

!Legacy microservices relied on long-lived static credentials and shared service accounts that had accumulated over several years of feature delivery. Rotating any single credential meant coordinating across multiple teams because ownership of the accounts was unclear, so rotations rarely happened outside of incident response.

!PCI scope had crept well beyond the original cardholder data environment because staging, UAT, and production shared network segments and, in some cases, database instances. Engineers had ad-hoc debugging access into production for troubleshooting, which meant the audited boundary no longer matched how the system actually operated.

!Artifact promotion between environments was inconsistent: some services were built once and promoted as immutable images, while others were rebuilt from source at each stage, creating drift between what was tested and what actually shipped. This made it difficult to prove that the artifact in production was the one that had passed security review.

!Change windows were coordinated manually through spreadsheets and chat threads, with no single source of truth for what had been approved, by whom, or when. This slowed incident response and made it hard to reconstruct a clean change history for auditors.

!Two major card networks and a banking partner had escalated requests for evidence of a secure software development lifecycle, including proof of code review, dependency scanning, and segregation of duties. The existing process satisfied none of these requirements in a form that could be handed to a third party without weeks of manual reconstruction.

!Dependency management was decentralized, with teams pinning versions independently and no consistent process for triaging CVEs against services actually deployed in the cardholder data environment. Known-vulnerable libraries lingered in production because there was no forcing function to patch them.

!Runtime environments lacked consistent egress controls, so a compromised container in a lower-risk service could, in principle, reach payment-processing endpoints directly. This made lateral movement a live concern in every risk assessment and threat model conducted by the internal security team.

!Security reviews were conducted late in the release cycle, often as a manual gate right before a production deploy, which created friction between the security team and delivery teams and incentivized last-minute exceptions rather than upstream fixes.

Our Solution

We introduced short-lived, workload-scoped tokens issued through a central identity provider, replacing static service account keys across the highest-risk services first. Vault-issued dynamic secrets with automatic rotation eliminated the need for teams to manage credential lifecycles manually.

We redrew environment boundaries so staging, UAT, and production no longer shared network segments, databases, or IAM roles, and we replaced ad-hoc debugging access with time-boxed, logged break-glass procedures. Every access grant now expires automatically and generates an audit trail without engineers needing to remember to revoke it.

We standardized a single build-sign-promote pipeline so every service produces one immutable, signed artifact that moves unmodified from staging through production. Image signing and provenance attestation meant the artifact deployed to production was cryptographically verifiable as the one that passed testing and review.

We layered dependency governance into the pipeline, automatically failing builds on critical CVEs in cardholder-data-adjacent services while routing lower-severity findings through a time-boxed exception workflow with named owners and expiry dates. This gave security visibility without blocking every release on manual triage.

We added dynamic application security testing (DAST) as an automated pipeline stage rather than a pre-deploy manual gate, running scans against ephemeral environments on every merge to the release branch. Findings surfaced to engineers directly in their existing workflow instead of arriving as a late-stage surprise.

We implemented network policies and default-deny egress rules at the namespace level in Kubernetes, so services could only reach the specific endpoints they needed, cutting off the lateral-movement paths that had worried the security team. Terraform-managed network policies made these rules auditable and version-controlled rather than living in tribal knowledge.

We centralized change management into the same pipeline that handled builds and deploys, so every production change carried an automatic record of what was approved, by whom, and against which ticket, replacing the spreadsheet-based process entirely. This gave a single system of record that both engineering and audit could query.

We packaged an evidence-collection process that pulled artifacts, access logs, scan results, and approval records directly from the systems of record into a standing evidence library, refreshed continuously rather than assembled manually before each assessment. This turned SOC 2 and PCI evidence requests from multi-week fire drills into same-day exports.

Measurable Impact

Secret hygiene

100% of critical payment paths off static keys

Critical payment paths no longer relied on static keys stored in configuration repositories, closing the most commonly cited finding from prior assessments.

Release cadence

Weekly releases maintained throughout

Teams kept their weekly release trains even as security controls moved earlier into the pipeline rather than gating the end of it.

Audit prep time

From ~3 weeks to under 2 days

Evidence for auditors was pulled directly from systems of record instead of assembled manually from spreadsheets and screenshots.

Partner confidence

Zero follow-up security exceptions requested

Security questionnaires from banks and processors were answered with concrete architecture diagrams and process detail rather than best-effort narratives, closing the loop without a second round of questions.

PCI scope

Reduced by roughly 40%

Tighter environment boundaries and egress controls shrank the audited cardholder data environment to the systems that actually needed to be in it.

Vulnerability backlog

Down 70% within the engagement window

Automated dependency gates cleared long-standing known-vulnerable libraries out of production services within the engagement window.

Change traceability

100% of production changes auto-logged

Every production change now carries an automatic, queryable record of approval, replacing manual change-window coordination.

“We had to prove maturity to banks and processors on a tight timeline, and the pressure was real given how much revenue ran through this platform. What this team delivered was concrete: fewer exceptions, clearer ownership of every credential and environment, and pipelines we could actually walk an auditor through line by line. We came out of the re-certification cycle with far less scrambling than the last one.”
H
Head of security engineering
Head of Security Engineering, Payments Fintech (NDA)

Technology stack

HashiCorp VaultGitHub ActionsKubernetesTerraformAWS KMSSnykOWASP ZAP