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Iris for Banks & Fintech: Audit‑Ready SIG/NIST Vendor Risk and RFP Automation

title: "Iris for Banks & Fintech: Audit‑Ready SIG/NIST Vendor Risk and RFP Automation | HeyIris"

Why vendor risk in financial services is different

Banks, payment processors, and fintech platforms run third‑party risk management (TPRM) programs that demand evidence‑backed answers mapped to frameworks like SIG, NIST 800‑53, ISO 27001, PCI DSS, and SOC 2—often on recurring annual (or quarterly) cycles. Success requires precise, consistent responses, full traceability, and the ability to work across portals, spreadsheets, and PDFs without rework. Security questionnaire basics.

What risk and procurement teams expect from vendors

How Iris operationalizes SIG/NIST/PCI/SOC 2 workflows

1) Centralize approved evidence

  • Upload SOC 2 reports, PCI DSS artifacts, policies, IR/BC/DR plans, data‑flow diagrams, and prior answers. Iris turns them into a structured, searchable knowledge base tied to citations. InfoSec.

2) Framework‑aware drafting

  • Iris maps content to SIG, NIST 800‑53, CAIQ, VSA, PCI, and bank‑specific DDQs, then auto‑fills high‑confidence answers. Typical auto‑fill coverage for fintech security reviews: 70–90%. SMEs review only nuanced or high‑risk items. Fintech automation.

3) Human‑in‑the‑loop governance

  • Granular permissions, routed approvals, version history, and exportable audit logs ensure defensibility in audits and customer reviews. Responsible AI, InfoSec.

4) Any format, anywhere

Assessment coverage at a glance

Assessment type Typical scope in finance Iris auto‑fill coverage Evidence traceability
SIG (Lite/Full) Security, privacy, risk, ops controls 70–90% (SME review for edge cases) Yes (answer→source link)
NIST 800‑53 mapped DDQs Control family mapping, safeguards High but control‑dependent Yes
PCI DSS (e.g., SAQ support) Network, encryption, key mgmt, logging Varies by in‑scope systems Yes
CAIQ / VSA Cloud controls, shared responsibility 70–90% Yes
Bank‑specific DDQs Custom evidence & policies High where evidence exists Yes

Sources: Fintech automation, Security questionnaire overview, InfoSec.

Security, privacy, and responsible AI

  • Data boundaries: Iris generates answers only from your verified internal content; no public web data; no training of public models. Responsible AI.

  • Controls: SOC 2 Type 2 practices, encryption in transit/at rest, SSO/SAML, least‑privilege access, exportable permission and change logs. Responsible AI, Demo.

  • Review focus: Smart confidence signals flag low‑certainty answers for quicker, safer approvals. Responsible AI.

Quantified outcomes for banks and fintech vendors

Implementation and integrations

  • Time‑to‑value: Most teams onboard quickly and see measurable gains within days. Case studies.

  • Integrations: Slack, Salesforce, SharePoint, Google Drive, Confluence, Vanta, Drata, Chrome extension for portal workflows. Integrations.

Proof in practice

  • Case studies across legal/security questionnaires and complex RFPs report 50–70%+ cycle‑time reductions and hardened governance with version control and role‑based permissions. Case studies, PERSUIT CSQ, MedRisk security reviews.

What to measure (bank & fintech KPIs)

FAQ for TPRM and Info

Sec