Nixer audits AI agents, LLMs, code repos, and CI/CD pipelines for the exposures SOC 2, PCI DSS, and SR 11-7 examiners are starting to ask about — at fintech, payments, lending, and capital markets firms shipping LLM-backed features.
Three attack surfaces that go undetected in traditional fintech compliance assessments — and appear in every Nixer scan of an LLM-backed financial product.
SOC 2 CC6.1 requires logical access controls scoped to what each user and system component actually needs. MCP-based AI agents — now standard in fintech copilots and underwriting assistants — expose tool manifests that grant LLMs unrestricted access to payment APIs, ledger writes, and customer PII lookups. Nixer audits every MCP endpoint for unauthenticated access and over-scoped tool permissions before your SOC 2 auditor does.
nixer/mcp/unauthenticatedRAG pipelines that pull from transaction history, support tickets, or document stores create an indirect prompt injection surface where malicious content embedded in retrieved data can redirect an LLM to exfiltrate PAN or cardholder details. PCI DSS 6.3 and 11.3 require vulnerability identification and testing across all software processing cardholder data — which now includes your RAG retriever and the prompt logs it populates. Nixer detects these injection paths before they become audit findings.
nixer/prompt-injection/indirectThe Fed's SR 11-7 guidance on model risk management requires documented version lineage, reproducible validation, and change controls for every model in production. LLM-backed decisioning tools — credit scoring assistants, fraud triage agents, risk explanation copilots — often have no pinned model version in CI, no immutable prompt snapshot, and no audit trail linking a deployed prompt to a validated version. Nixer flags the CI/CD gaps (unpinned actions, mutable supply chain dependencies) that make SR 11-7 compliance impossible to demonstrate.
nixer/cicd/unpinned-actionThese are representative of findings from scans across LLM-backed fintech codebases. Details anonymized; framed as illustrative where no single customer is identified.
A Series C lending platform ran Nixer against their underwriting agent and found an unauthenticated MCP endpoint granting their LLM unrestricted write access to the loan origination API — no auth token, no rate limit, reachable from the public internet. The endpoint had been live for 6 weeks before the scan.
A payments infrastructure company scanned their fraud triage RAG pipeline and discovered that transaction memo fields — populated by payers — could carry indirect prompt injection payloads that redirected the agent's tool calls. PAN fragments were observable in prompt logs with no masking or truncation in place.
A capital markets firm preparing for a SOC 2 Type II audit ran Nixer against their AI research assistant's CI/CD pipeline. Every third-party GitHub Action was pinned to a mutable tag — not a commit SHA — matching the exact pattern used in the tj-actions supply chain attack that compromised Coinbase and Twilio in 2025.
One scan run covers the complete attack surface your LLM-backed financial product touches — not just the model layer.
Agent definitions, system prompts, tool registrations, and MCP server configs scanned for injection vectors, over-privileged tool access, and unauthenticated endpoints touching payment and ledger APIs.
✓ Maps tool-call blast radiusInput sanitization gaps, retrieval pipeline injection surfaces, prompt construction patterns, and context window handling in the code that calls your financial LLM APIs — including transaction data retrieval.
✓ Catches PAN exfil pathsSource code scanned for hardcoded credentials, insecure dependencies, CVE-tracked frameworks, and secrets in version control — the most common PCI DSS gap found in fintech engineering stacks.
✓ No secrets in codeGitHub Actions and build workflows audited for workflow injection, unpinned supply chain dependencies, and GITHUB_TOKEN over-exposure — the attack vectors that break SR 11-7 version lineage controls.
✓ Provenance audit trailLLM-assisted analysis of system design for mismatched trust boundaries, missing access controls between agent layers, and cardholder data flow paths that bypass audit logging requirements.
✓ Trust boundary analysisCloud configs and IAM policies reviewed for over-privileged agent service accounts, misconfigured storage containing financial records, and cross-account access patterns that expand your PCI DSS scope.
✓ Minimizes CDE scopeEvery finding Nixer surfaces maps directly to the controls fintech auditors and examiners check. Here's what lands in your audit report.
| Nixer Finding | SOC 2 Criteria | PCI DSS | SR 11-7 |
|---|---|---|---|
|
Unscoped Agent Tool Access nixer/mcp/unauthenticated |
CC6.1 — Logical Access Controls | PCI DSS 7.1 — Limit access to system components | SR 11-7 §4 — Model risk governance & access controls |
|
Indirect Prompt Injection in RAG Pipeline nixer/prompt-injection/indirect |
CC6.7 — Restricts transmission of confidential data | PCI DSS 6.3 / 11.3 — Vulnerability identification & testing | SR 11-7 §5 — Ongoing model monitoring & validation |
|
LangChain Serialization Injection (CVE-2025-68664) nixer/model-supply-chain/langchain-serialization-injection |
CC7.1 — Detects and monitors for vulnerabilities | PCI DSS 6.3.3 — All system components protected from known vulnerabilities | SR 11-7 §3 — Model development & implementation controls |
|
Unpinned CI/CD Action — Supply Chain Attack nixer/cicd/unpinned-action |
CC8.1 — Change Management | PCI DSS 6.3.2 — Maintain an inventory of bespoke and custom software | SR 11-7 §4 — Model risk governance & version lineage |
|
Hardcoded API Key / Secret in Source nixer/secrets/hardcoded-api-key |
CC6.3 — Access Based on Least Privilege | PCI DSS 3.4 / 8.6 — Protect stored credentials | SR 11-7 §4 — Operational risk controls for model infrastructure |
Four free modules on prompt injection, tool abuse, RAG poisoning, and CI/CD pipeline security. Built for developers and security engineers shipping AI in regulated industries.
Book a 20-minute demo and we'll walk through a live scan of your AI stack — or a comparable fintech repo — and show you exactly what your SOC 2 / PCI DSS auditor will ask about next cycle.
"Fintech AI Security Checklist" — 10 controls every CISO should verify before the next SOC 2 or PCI DSS assessment.