Reg S-P data handling, SEC 17a-4 immutable audit, MNPI leakage prevention. Fiduciary-grade grounding with verifiable evidence — not confident hallucination.
Generic AI adds risk. Sturna removes it — each layer maps to a specific rule you're already responsible for.
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)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-4Triple-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-5AI-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)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)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 depthFive 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.
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.
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.
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.
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.
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.
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 →