Financial Services
Sovereign, provable AI for regulated finance
Your teams have AI pilots that would cut cycle times in fraud, KYC, underwriting, and reconciliation, but they are stuck: the data cannot cross jurisdictions, model risk cannot sign off on a black box, and no one can show an examiner why an agent moved money. NuDay keeps financial data in your jurisdiction and under your keys, and produces a per-action, tamper-evident record model risk, audit, and compliance can review.
Breach the agent and you get ciphertext, not customer accounts.
Every agent action reaches review with its own signed, tamper-evident evidence.
Why it stalls
Why financial AI stalls in review
The pilots work. What blocks them is four things review cannot get comfortable with, and what changes each conversation:
NPI, cardholder data, and live positions leak into the agent's memory and context. NuDay encrypts the agent's data layer, so a breach yields unreadable ciphertext.
Agents hold standing access to trading, payment, and core-banking systems. Zero-credential, on-behalf-of execution with short-lived, scoped tokens. Agents use access without ever holding it.
Model risk cannot validate or explain an autonomous agent. Cryptographically signed tools plus a per-action record of which tool ran, under whose authority, and with what inputs.
Examiners want proof, not assurances. Tamper-evident audit by construction, exportable straight to your SIEM and GRC tooling.
Data sovereignty
Keep the data, and the keys, in your jurisdiction
Cross-border data rules, GDPR for EU customers, and internal data-residency policies all say the same thing: sensitive financial data should not leave your control. NuDay is built to keep it there.
Residency by deployment
Run on-prem or in-region so customer and market data never crosses a border it should not.
You hold the keys
Bring your own keys on SaaS or hybrid; on-prem keeps key custody entirely in-house.
The model stays yours
For the most sensitive desks, run the LLM on-prem so data and reasoning never leave.
The evidence
The evidence your frameworks ask for
NuDay does not grant compliance. It produces the concrete, provable evidence your teams and examiners map to each framework.
SOX
A per-action, tamper-evident record of every agent operation that touches financial-reporting systems, with cryptographic non-repudiation for internal-controls testing.
PCI-DSS 4.0
Agents never hold raw cardholder data. Access to payment systems is scoped, short-lived, and encrypted, keeping PAN out of the agent's context window entirely.
GLBA and NPI
Non-public personal information is encrypted in agent memory and RAG, so a compromised agent exposes ciphertext, not customer records.
SR 11-7 model risk
The evidence model-risk teams need to validate and monitor an agent: signed tool execution plus per-action provenance for every decision the agent makes.
DORA
ICT operational resilience through encryption, customer-held keys, tamper-evident logging, and in-region deployment for EU financial entities.
NYDFS 23 NYCRR 500
Encryption, least-privilege access, and auditable activity for covered entities, produced as evidence rather than asserted.
What review gets
What model risk, audit, and compliance get
Not a promise that the AI is safe, but the evidence to decide for themselves.
Per-action provenance
Which tool ran, under whose authority, with what inputs, on every agent decision.
Encrypted end to end
Memory, RAG, and shared context are ciphertext at rest, per record, with independent keys.
In your jurisdiction
Data and keys stay where policy requires, on-prem, in-region, or fully air-gapped.
For banks, insurers, and asset managers
Get your stuck financial AI moving.
Bring your pilot and your reviewers. We will walk through what is encrypted, what stays in jurisdiction, and the evidence your model risk and audit teams receive.