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Claude Code Training for Banking & Financial Services Engineering

Kriv AI · Finance & Accounting

No attestation published

Certification per AWS Marketplace.

Provenance reach3 of 12 layers traced

Evidence tier Source Confirmed · 3 captures on record

User ratingNot rated0 reviews on the listing
Runs onUnknownProfessional service
ProvenanceUnknown33% of the provenance layers this product can disclose
Evidence riskHighSign in to see the basis for this band.

What the publisher says

As described on AWS Marketplace.

Claude Code adoption is stalling inside US banks, broker-dealers, asset managers, and fintechs because Copilot evaluations get blocked in CISO review, AI coding policy is still a draft, and every engineering leader has been told to "use AI" without a playbook aligned to BSA/AML, Model Risk, FINRA supervision, and NYDFS Part 500.

Anthropic's Claude for Financial Services launch and the $100M Partner Network have moved Claude from "developer tool" to "production-ready for regulated engineering." Adoption signals: JPMorgan's LLM Suite, Goldman Sachs internal Claude deployment, Morgan Stanley AtBay, and parallels at Capital One, Wells Fargo Securities, and mid-tier banks have made AI coding tooling a developer-retention issue and a board-level parity question. Regulators have moved in lockstep: FFIEC BSA/AML Examination Manual (2024), OCC Bulletin 2023-17 Third-Party Risk, FRB SR 11-7 MRM (now scoped to include AI-assisted code artifacts), FINRA Rule 3110, SEC 15c3-5, SEC 17a-4 WORM, NYDFS 23 NYCRR Part 500, PCI DSS v4.0.1, GLBA, NIST AI RMF, and ISO/IEC 42001:2024. Engineering teams need Claude Code training that speaks FS regulator + FS code — and until now there has been no FS-specialized Claude Code SKU on AWS Marketplace.

Show the rest of the publisher’s description (5 more lines)

Every Claude Code / AI coding training listing on AWS Marketplace today (Slalom "Code with Claude," Forgd AI-Native Development, Slalom GenAI Activation Workshop) is industry-agnostic. None cover BSA/AML code patterns, SR 11-7 MRM documentation for AI-assisted code, FINRA 3110 supervisory hooks, SEC 15c3-5 pre-trade risk control coding, or NYDFS 500 workflows. Kriv's live E1 Claude Code Training for Healthcare Engineering proves the vertical-specialized template works; N18 replicates with full FS curriculum.

5-day curriculum (Full Enablement). Day 1 — Foundations + secure setup: Claude Code tour; model selection Opus 4.6 / Sonnet 4.6 (1M context) / Haiku 4.5; Claude on Bedrock in customer VPC with data residency and no training; IDE integrations; SOC 2 + NYDFS 500 + FFIEC InfoSec policy mapping; secrets management; CloudTrail prompt-logging. Day 2 — Core engineering patterns: monorepo prompt engineering; RAG for FS reference data; multi-file refactors; Claude-authored unit + property tests; PR review patterns; FS code-review heuristics with PII/NPI detection + GLBA boundary enforcement. Day 3 — FS-specific workflows: BSA/AML code (OFAC/SDN fuzzy-name screening, structuring detection, velocity rules, typology engines); KYC/CIP/CDD/EDD/UBO; FINRA 3110 supervisory hooks + 3120 testing scaffolds; SR 11-7 MRM code (auto-generated model docs, challenger models, validation harnesses); trade-surveillance typology scaffolds; CAT Rule 613 validators; SAR narrative drafting on Bedrock with mandatory human review. Day 4 — Security + compliance deep-dive: NPI/GLBA/PCI DSS in AI-assisted workflows; secrets management at scale; Claude-driven SBOM (SPDX/CycloneDX); OWASP Top 10 prompts; cyber-insurance questionnaire-aligned practices; NYDFS 500 + FFIEC CAT + SOC 2 review workflows; SEC 17a-4 WORM for code artifacts. Day 5 — Production rollout + ROI: phased rollout pilot→squad→org; developer productivity dashboard; AI Developer Tools Governance Committee charter; MRM doc package under SR 11-7; FFIEC exam readiness walkthrough; capstone; 30-day office hours.

Hands-on labs (2–3/day, anonymized synthetic data): Bedrock + IAM least-privilege; CloudTrail prompt logging; multi-file Java refactor; OFAC screening microservice; transaction-monitoring rules; SAR narrative tool with human-review gating; legacy COBOL-bridge Java refactor; KYC onboarding code review; SBOM generation; capstone MRM package.

Three tiers. Executive Briefing — half-day $8K (up to 15 execs; policy + governance + ROI + FFIEC/OCC/SR 11-7 positioning; no hands-on). Engineering Fundamentals — 2-day $15K (up to 20 engineers; Days 1–2 + labs). Full Enablement — 5-day $25K (up to 20 engineers; Days 1–5 + capstone + 30-day office hours). Optional Per-Team Deep-Dive $10K (1-day focus for one squad of up to 10 — trade surveillance, AML/TM, fraud, core banking modernization, digital onboarding, or insurer claims intelligence).

Important disclosures. Kriv is a member of the Anthropic Claude Partner Network (approved April 9, 2026) — partner, not an Anthropic-authorized reseller. Claude + Anthropic API are procured directly by Customer. Kriv issues no Anthropic / AWS / vendor certifications (Kriv completion certificates only); not CLE- or CPE-accredited. No legal, regulatory, or compliance advice — Customer's CISO, CCO, GC, and outside counsel review all policy. No guarantee of productivity uplift, attrition reduction, or FFIEC / OCC / FRB / SEC / FINRA exam outcomes. Anthropic API + Bedrock consumption + travel + on-site billed separately. Customer retains sole responsibility for SDLC / code-review / security / MRM integration.

Highlights

Highlighted by the publisher on AWS Marketplace.

First FS-specialized Claude Code training on AWS Marketplace — BSA/AML + OFAC/SDN screening + SR 11-7 Model Risk + FINRA Rule 3110 + SEC 15c3-5 / 17a-4 WORM + NYDFS 23 NYCRR Part 500 + PCI DSS v4.0.1 + GLBA aligned. Claude on Amazon Bedrock in customer-controlled VPC with data residency and no training on customer inputs. CloudTrail logs every prompt-to-code interaction. Model selection across Opus 4.6 (architecture + MRM) / Sonnet 4.6 (daily dev, 1M context) / Haiku 4.5 (fast review).

Three tiers + capstone + 30-day office hours — half-day exec briefing $8K, 2-day engineering fundamentals $15K, 5-day full enablement $25K. Capstone: author MRM documentation package from existing codebase under SR 11-7. Hands-on labs anonymized synthetic data: OFAC screening microservice, transaction-monitoring rules, SAR narrative drafting on Bedrock with human-review gating, legacy COBOL-bridge Java refactor, KYC onboarding review, SBOM SPDX/CycloneDX, CAT Rule 613 validators.

AWS Select + Databricks + Anthropic Claude Partner Network member (April 9, 2026; partner, not an Anthropic-authorized reseller). Built for regional/community banks $500M–$5B, mid-tier banks $5B–$50B, bulge-bracket and universal banks $500B+, broker-dealers, asset managers, fintech BaaS + neobanks, credit unions, insurers. Optional $10K Per-Team Deep-Dive on trade surveillance / AML / fraud / core-banking modernization / digital onboarding / claims intelligence for insurers.

Agent build and provenance

See the full provenance

The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.

Compliance

Government
  • FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27

Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.

Vendor

External enrichment · as of 2026-08-29

CompanyKriv AIAutomated
Websitehttps://www.kriv.ai/

Sources

Marketplace listingaws.amazon.comSource
App certificationaws.amazon.comSource

Publisher resources

3 links
Kriv AI Capabilities Overviewkriv.aiSource
Kriv AI on AWS Marketplace (Seller Profile)aws.amazon.comSource
Anthropic Claude Partner Networkwww.anthropic.comSource

Linked repositories

RepositoriesUnknownUnknown

Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.

Pricing
Unknown
Not stated
Delivery
Professional service
Primary contact. info@kriv.ai · +1-732-433-5564 · https://kriv.ai/support Response SLA. First response within 2 US business days (Mon–Fri 9 am – 6 pm ET, ex-US federal holidays). Active cohorts: Lead Instructor responds within 4 business hours weekdays. Copilot-evaluation-urgency engagements compress to same business day. Onboarding SLA. First customer contact within 2 US business days of buyer inquiry / private-offer acceptance. Classes kick off within 2–4 weeks of SOW (CISO + TPRM approval extends timing); 5–10 business days when driven by Copilot evaluation urgency. Escalation. (1) Lead Instructor (named in SOW) → (2) Training Practice Director (info@kriv.ai) → (3) CEO Abhinav Dangri (info@kriv.ai). Communication. Dedicated Microsoft Teams channel; daily standup during class delivery; 30-day post-class office hours (Full Enablement). Customer sponsor touchpoints: pre-class kickoff, mid-class checkpoint, post-class readout. Handoff. Course materials + lab repos + capstone templates in secure file share; MRM documentation templates (SR 11-7) as Word + Excel; FFIEC exam readiness mini-guide as PDF; executive summary report within 5 business days of class end. Out of scope. No Anthropic / AWS / official vendor certifications (Kriv completion certificates only); not CLE- or CPE-accredited; no legal, regulatory, or compliance advice — Customer's CISO, CCO, GC, outside counsel review all policy decisions; no guarantee of productivity uplift, attrition reduction, or exam outcomes. AWS + Anthropic-side billing. Anthropic API + AWS Bedrock consumption billed directly; travel + on-site delivery pass-through (remote delivery is default). Holiday coverage. Closed on US federal holidays; cohort schedule adjusted at SOW execution.
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