FINRA compliance for investment AI —
enforced on every LLM call.
Investment AI has a suitability problem. LLMs make specific buy/sell calls without knowing the customer, promise guaranteed returns, and skip required disclaimers. Peekr enforces FINRA rules in-process before responses reach investors — no proxy, no architecture change.
Why FINRA on LLM outputs is hard
LLMs make specific recommendations
You ask for portfolio analysis. The LLM responds "you should buy NVDA and sell your bond position." That's a specific recommendation under FINRA Rule 2111, requiring suitability determination by a registered representative.
Guaranteed return hallucinations
"Based on historical data, you can expect a guaranteed 12% annual return." FINRA Rule 2210 prohibits false or misleading statements — and LLMs routinely invent performance figures that sound authoritative.
Disclaimers get dropped
Every investor communication requires appropriate risk disclosures and past-performance disclaimers. LLMs optimised for helpfulness routinely omit them, creating per-response FINRA exposure.
What Peekr enforces
The FINRA pack runs as a guardrail inside your agent process. Every LLM response is checked before it reaches the investor. Violations are blocked (or warned) and stored in an immutable audit log.
| Category | What it catches | Action |
|---|---|---|
| Specific recommendation | "You should buy X stock", "sell your position in Y", "invest in Z now" | Block — requires registered rep + suitability |
| Guaranteed returns | "Guaranteed return of X%", "you will earn", "risk-free return" | Block — FINRA Rule 2210 prohibition |
| Risk-free claims | "Risk-free investment", "no risk", "completely safe asset" | Block — false or misleading statement |
| Missing disclaimer | Investment response without non-advice or past-performance disclaimer | Warn — add required disclosure |
2 lines to enforce FINRA
Add compliance=["FINRA"] to your existing peekr.instrument() call. Rules are fetched from Peekr Cloud and enforced locally — no data leaves your process.
import peekr
peekr.instrument(
exporter=peekr.HTTPExporter(
endpoint="https://peekr.starkspherelabs.com",
api_key="pk_live_...",
),
compliance=["FINRA"], # ← add this line
)
# Every LLM call is now FINRA-checked.
# Specific buy/sell calls are blocked. Guaranteed returns are blocked.
# Violations go into an audit log your CCO can read.Works with OpenAI, Anthropic, Google Gemini, Amazon Bedrock, LangChain, and CrewAI — auto-instrumented, no code changes per call.
Audit-ready violation logs
Every violation is stored as a tamper-evident record in Peekr Cloud: which rule fired, which text triggered it, which model produced it, and when. Your CCO can filter by regulation, export to PDF, and hand it directly to a FINRA examiner.
Per-violation detail
Pack, rule name, matched text, span ID, timestamp, tenant.
CCO access
Chief Compliance Officer gets read-only dashboard access, no code required.
7-day rolling window
Default retention. Enterprise gets configurable retention + export.
Immutable records
Violations can't be deleted by the app — only by explicit data retention policy.
Common questions
Does FINRA apply to AI chatbots?
Yes. FINRA's rules apply to member firms and their associated persons regardless of communication channel. An AI system that makes investment recommendations or communicates with investors on behalf of a FINRA member is subject to Rules 2010, 2111, 2210, and Reg BI. FINRA's 2023 AI guidance explicitly addresses automated communication systems.
What is suitability under FINRA Rule 2111?
Rule 2111 requires that a member firm have a reasonable basis to believe a recommendation is suitable for a particular customer based on their investment profile — age, risk tolerance, investment objectives, time horizon, and financial situation. An LLM that makes specific recommendations without access to this profile likely violates Rule 2111.
Can AI give investment advice without a registered representative?
Investment advice for compensation generally requires registration as an investment adviser under the Investment Advisers Act of 1940 or FINRA membership. Robo-advisers are registered. A chatbot that gives personalised investment advice without proper registration creates regulatory exposure. Peekr blocks specific recommendation language to keep your AI in informational mode.
What about Regulation Best Interest (Reg BI)?
Reg BI requires broker-dealers to act in the retail customer's best interest when making a recommendation. It applies to the same specific recommendation patterns Peekr blocks. The pack detects buy/sell recommendations and flags them before they reach the customer, helping your firm avoid Reg BI exposure from LLM outputs.
How does Peekr help broker-dealers specifically?
Broker-dealers use Peekr to (1) block specific investment recommendations from AI assistants that aren't supervised by a registered rep, (2) enforce required disclaimers on every investor-facing response, (3) maintain tamper-evident records of all LLM outputs for FINRA examination readiness, and (4) enable CCOs to review violation logs without code access.
Start enforcing FINRA on your investment AI today
Free tier includes the FINRA pack — 10,000 spans/month, no credit card.
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