RIA Compliance AI

AI for RIAs that won't
get you in front of the SEC.

Reg S-P data handling, SEC 17a-4 immutable audit, MNPI leakage prevention. Fiduciary-grade grounding with verifiable evidence — not confident hallucination.

Reg S-P compliant NPI handling
SEC 17a-4 WORM audit
MNPI Triple-Gate intercept
Form ADV consistency
30-day pilot, deposit credits month 1

Built for the regulatory stack
RIAs actually face

Generic AI adds risk. Sturna removes it — each layer maps to a specific rule you're already responsible for.

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Reg S-P Data Handling

Client NPI (nonpublic personal information) is scope-isolated per tenant. Responses never cross client data boundaries. Your clients' holdings, contact information, and account data stay siloed — by architecture, not policy.

Reg S-P (17 C.F.R. § 248)
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SEC 17a-4 Immutable Audit

Every AI-generated communication, research output, and agent decision is written to a WORM-compliant audit log on creation. Append-only, cryptographically sealed. Accessible for SEC examination without reconstruction.

17 C.F.R. § 240.17a-4

MNPI Leakage Prevention

Triple-Gate verification blocks responses that contain, infer, or combine material nonpublic information. Cross-trade detection catches mosaic theory violations before they exit the model. Intercept log preserves evidence of the block.

Insider Trading Sanctions Act / Rule 10b-5
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Form ADV Consistency

AI-generated client communications and marketing materials are cross-checked against your filed Form ADV Part 2. Discrepancies between AI output and your disclosure documents are flagged before they reach clients.

Form ADV (17 C.F.R. § 279.1)

Fiduciary-Grade Grounding

Every factual claim in AI output is traced to a cited source with a verification score. Responses that can't be grounded in your approved source corpus are blocked or clearly flagged as unverified — not silently hallucinated.

Advisers Act § 206 (fiduciary duty)
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Triple-Gate Verification

Three independent verification layers run on every response: (1) factual grounding against your approved corpus, (2) regulatory cross-check against applicable rules, (3) MNPI/sensitive data screen via MARCH adversarial gate. All three must pass.

Systemic defense in depth

Watch MNPI hallucination get intercepted
on real RIA adversarial prompts

Five prompts designed to bait an ungrounded model into a compliance violation. Left side is live GPT-4 output. Right is Sturna. API calls are real — not mocked.

Sturna Triple-Gate — RIA Adversarial Probe
Live API · GPT-4 vs. Sturna · MNPI & Reg S-P interception evidence
LIVE ENGINE
Running Triple-Gate verification — calling live API…
Select a prompt to run live against GPT-4 vs. Sturna.
Real API calls — ~2–4s response time.

Every gate runs on every response.
Every failure is logged to your SEC 17a-4 audit.

Three independent verification layers — not a sequential pipeline. Any gate failure blocks the output and writes an immutable audit entry. Two-out-of-three is not acceptable.

G1

Completeness Check

Verifies that factual claims in the response are grounded in your approved corpus. Responses containing claims that can't be traced to a verified source are flagged. Partial grounding with unexplained gaps is treated as a failure, not a warning.

Artifact: Grounding map — each claim → source + relevance score (≥0.85 required)
Artifact: Audit log entry — hash-linked to output record
Latency budget: ≤800ms (non-blocking parallel execution)
✓ Completeness Pass
G2

Accuracy & Quality Check

Validates regulatory citations against the actual Reg S-P, SEC 17a-4, Advisers Act §206, and Form ADV rules. Non-existent statutes, fabricated amendments, and incorrect rule numbers are blocked. Form ADV consistency checked against your filed Part 2.

Artifact: Citation map — each rule/statute reference → verified CFR source
Artifact: Form ADV consistency check — advisory claim vs. filed Part 2A/B
Latency budget: ≤1,400ms (parallel to G1 and G3)
✓ Accuracy & Regulatory Verified
G3

Stress & Real-World Check

MARCH adversarial gate — a second agent with information asymmetry reviews the output independently. It catches mosaic theory violations, Regulation FD selective disclosure risks, MNPI inference from public data combinations, and Reg S-P NPI boundary crossings.

Artifact: MARCH checker trace — adversarial agent independent verdict
Artifact: MNPI/mosaic analysis — Rule 10b-5 and Reg FD exposure flags
Latency budget: ≤2,100ms (hard constraint)
✓ MARCH Adversarial Pass
30-Day RIA Pilot

Reserve your dedicated RIA agent pool now.

The next SEC examination will ask what you did about AI hallucination risk. Sturna deploys a RIA-tuned agent pool with Reg S-P data handling, SEC 17a-4 WORM audit trail, and MNPI Triple-Gate intercept — active from day 1. Deposit credits your first month. No lock-in.

  • Dedicated RIA-tuned agent pool (isolated tenancy)
  • Reg S-P data handling from day 1
  • SEC 17a-4 WORM audit trail, active immediately
  • MNPI leakage prevention + Triple-Gate active
  • Form ADV consistency checking
  • Fiduciary-grade grounding with citation evidence
  • Dedicated compliance lead throughout pilot
  • Convert or get a pro-rated refund at day 30
$2,500
one-time pilot deposit
✓ Credits your first month of service
🔒 Payments secured by Stripe
Pro-rated refund if pilot doesn't deliver
No annual contract required
SEC 17a-4 audit trail active from day 1

Common questions from CCOs

Is the $2,500 deposit refundable?
Yes. If at day 30 the pilot hasn't demonstrably reduced your compliance exposure or improved advisory workflow, you receive a pro-rated refund of unused days. The deposit is not speculative — it's a commitment that converts to month 1 of service upon kickoff.
How is client NPI isolated under Reg S-P?
Your firm gets a dedicated agent pool — not a shared multi-tenant environment. Client NPI (account data, contact information, portfolio holdings) is scoped to your tenant and is never passed to other tenants' contexts. The architecture enforces this at the infrastructure level, not via access controls that could be misconfigured.
What does "SEC 17a-4 compliant" audit mean in practice?
Every AI-generated output — research, client communication draft, compliance flag, query log — is written to an append-only audit log at creation time. Entries cannot be modified or deleted. The log is accessible for regulatory examination without reconstruction. This is distinct from "we log things" — the log is a WORM record, not a retroactive export.
What does MNPI interception actually block?
Three categories: (1) Direct MNPI — a query that includes or requests material nonpublic information about a specific issuer. (2) Mosaic theory violations — combining public data sources (13F, Form 4, news) in a way that generates trading signals equivalent to MNPI. (3) Selective disclosure — generating analysis that could create FD liability if distributed to some clients but not others. All three are screened by Gate 3 and logged on intercept.
Do I need to update my Form ADV to disclose AI use?
Yes — and Sturna helps you do this correctly. The SEC's 2023 Marketing Rule and Advisers Act § 206 require disclosure when AI materially affects investment advisory services. We provide a disclosure template for Form ADV Part 2A §11/§12 that your compliance counsel can review. This is part of the pilot kickoff.
How quickly can the pilot start after deposit?
Kickoff call within 3 business days of deposit. Dedicated agent pool provisioned within 24 hours of the kickoff call. Day 1 of the 30-day pilot begins when your pilot scope is confirmed and the pool is live.

For a detailed breakdown of what the 2024 amendments require and where AI deployments create specific exposure, see: Reg S-P Compliance for RIAs Using AI: The 2024 Amendments →