Fintech. Move-fast culture meeting a regulated balance sheet.
Payments processors, neobanks, crypto custodians, and BNPL operators ship daily into PCI-graded environments. Mobile binaries cross app-store and partner-bank trust boundaries every release. Safeguard turns continuous controls, mobile SBOMs, fraud-model integrity, and PSD3-ready evidence into a live pipeline — not a quarterly fire drill.
Four forces converging on every fintech release.
Continuous controls, signed mobile artefacts, key-material hygiene, and regulator-readable ship cadence — at the same time.
PCI-DSS continuous controls
Quarterly attestation no longer satisfies an assessor who expects live evidence of every cardholder-touching component. Each merge ships into the cardholder data environment, and each merge has to carry its own signed proof.
Mobile-app SBOM scrutiny
App store reviewers, banking partners, and regulators are asking for a signed SBOM for the exact binary that landed on the consumer device. Source-tree scans no longer answer the question they are asking.
Crypto-custody key material
Wallet libraries, HSM glue code, and key-management SDKs sit in the most sensitive part of the build graph. A compromised transitive dependency in that path is an existential risk, not an audit finding.
Ship cadence vs regulator visibility
Consumer fintech ships daily. The supervising authority expects to see what changed, why, and what controls covered it — without slowing the deploy. Evidence has to live where engineering already works.
Capability mapped to daily-deploy reality.
PR-time gates that don't slow merge
Policy gates run at pull-request time with reachability-aware prioritisation. Engineers see a focused, defendable list — not the CVE firehose — and the gate completes in seconds, not minutes.
Signed mobile-binary SBOMs
Every iOS and Android build emits a CycloneDX SBOM pinned to the exact submitted binary, with signed provenance. Hand the same artefact to the app store, the partner bank, and the regulator.
Runtime AI fraud-model integrity
Fraud-scoring models get the same attestation pipeline as the application code that calls them. Model weights are SHA-pinned, drift is monitored, and every inference is bound to a known model version.
Pre-mapped PCI / DPDP / PSD3 evidence
Control narratives are pre-mapped to PCI-DSS v4, DPDP, GDPR, and the emerging PSD3 expectations. Evidence is exported in formats the assessor already accepts — no bespoke spreadsheet exercise.
Frameworks the platform is mapped to.
Pre-mapped controls and evidence formats your assessor and regulator already accept.
A typical deployment inside a regulated fintech.
VPC-isolated control plane, mobile-CI signing pipeline, audit log into the existing SIEM, and a customer-trust portal for partner banks and regulators.
- 01
VPC-isolated control plane
Control plane and inference cluster run inside the fintech's VPC. No cross-tenant traffic, no shared key material, no customer data leaving the perimeter.
- 02
Mobile-CI signing pipeline
iOS and Android pipelines emit a signed SBOM per binary, bound to the submitted IPA / AAB. Provenance follows the artefact through the app-store track.
- 03
Audit log to bank-grade SIEM
Every policy decision and gate verdict is streamed to the SIEM in JSON and CycloneDX. Retention, search, and access stay under the fintech's control.
- 04
Customer-trust portal
Read-only portal exposes signed SBOMs, VEX statements, and attestation history to partner banks, networks, and regulators — no email attachments, no PDF roundtrips.
Four risk surfaces your CRO already worries about.
Mobile-app supply-chain attacks
Compromised SDKs and ad-tech libraries reach hundreds of millions of consumer devices through a single release. The blast radius is the user base, not the build farm.
Third-party KYC vendor compromise
KYC, fraud-scoring, and consent-management vendors hold the most sensitive customer data. A breach upstream becomes the fintech's incident — and the fintech's notification clock.
AI fraud-model poisoning
Adversarial inputs and training-data tampering quietly degrade fraud scoring. Drift goes undetected until chargebacks spike — by which point the regulator already has a question.
Regulator surprise audit
The supervising authority shows up with a ninety-day evidence window and a four-hour patience threshold. Evidence has to be a query, not a person who has to be on call.
What is actually hitting consumer fintech this year.
SDK-level malicious packages in mobile builds
Compromised npm / CocoaPods / Gradle releases reach the IPA and AAB inside one release cycle. Source-only scans miss the binary that actually shipped.
Signed mobile SBOM + provenanceKEV CVEs in crypto wallet libraries
Custody and wallet libs sit on the key-material path. Disclosure-to-exploit windows are short; reachability decides who is actually in the blast radius.
Eagle reachability + KEV prioritisationAI fraud-model drift detection
Quiet model drift inflates chargebacks weeks before it surfaces in dashboards. Signed lineage and runtime drift detection catch it at the inference layer.
AI-BOM + runtime model integrityConsent-flow library tampering
DPDP and GDPR consent SDKs are a high-value tampering target. A silent change to the consent flow becomes a regulator notification within days.
PR-time policy gatesThird-party KYC vendor compromise
Upstream breach at a KYC, fraud, or consent vendor cascades into every fintech that integrated them. Concentration-risk visibility makes the blast radius legible.
TPRM with concentration risk heatmapQuantified benefits for fintech engineering.
Numbers from production deployments. Same assessor, same app store, dramatically less spreadsheet.
Continuous controls at the speed of daily deploys.
Talk to the team about PCI continuous-controls pipelines, signed mobile SBOMs, and a deployment shape that lives inside your VPC.
Self-healing security runs on Safeguard.
Your first fix PR is minutes away.
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