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Sython AI Services

Financial Services LLM Security and Compliance Support

We help banks, credit unions, asset managers, insurers, and fintech teams deploy LLM systems with private-by-default architecture, strong tenant and network isolation boundaries, and control evidence that security and compliance teams can review. We support your control mapping and implementation for US and international financial frameworks without claiming certification or legal determinations on your behalf. Responsibility is shared: cloud and model vendors supply platform and model-layer controls; your institution owns data classifications, policy, and sign-off; we implement technical safeguards and produce evidence that stitches those layers together for review.

Private and isolated deployment patterns

Support VPC-scoped inference, private endpoints, strict egress controls, tenant separation, and environment-level isolation so sensitive workloads stay segmented by policy and design.

Control-mapped architecture for financial frameworks

Map design decisions to the GLBA Safeguards Rule, FFIEC expectations, 23 NYCRR Part 500 (NYDFS Cybersecurity Regulation), PCI DSS v4.0, DORA, and ISO/IEC 27001 Annex A control domains for traceable implementation and review.

LLM abuse and tool-risk controls

Address prompt injection, over-broad tool permissions, and data-exfiltration paths with content isolation, least-privilege tool policies, output constraints, and human-in-the-loop gates where policy requires.

Data protection and key management support

Implement encryption in transit and at rest, key rotation strategy, secrets boundaries, and data minimization patterns for prompts, context, logs, and downstream artifacts.

Auditability and evidence readiness

Instrument append-only or tamper-evident logging, access trails, model and prompt change history, incident runbooks, and operational dashboards to support internal risk review and external examinations.

Real-time safety and policy guardrails

Implement inference-layer controls for PII masking, financial-advice policy gates, and grounding checks aligned to institutional risk tolerances. Read about our LLM Guardrails & Governance approach.

Frameworks and orchestration

We adapt architecture to your constraints, model family, and compliance profile.

Network segmentation and private endpoint design Role-based access control (least privilege) Multi-factor authentication enforcement Change control and release gating SIEM integration and log correlation Third-party risk and vendor control reviews

Vector stores and backends

Vector databases and extensions—distinct from orchestration frameworks above.

pgvector Pinecone Weaviate Qdrant

Financial-services control support model

  • Define sensitive data classes (PII, NPI, cardholder-adjacent data) and approved handling paths.
  • Document trust boundaries for models, vector stores, orchestration services, and admin tooling.
  • Build a controls matrix that maps technical safeguards to the GLBA Safeguards Rule, FFIEC, 23 NYCRR Part 500 (NYDFS Cybersecurity Regulation), PCI DSS, DORA, and ISO/IEC 27001 Annex A objectives.
  • Where model risk management programs apply for supervised institutions (for example OCC Bulletin 2011-12 and related supervisory expectations; historically aligned to Federal Reserve SR 11-7 for applicable banking organizations), align LLM lifecycle testing and documentation with validation and governance tiers your risk function defines.
  • Name accountable approvers for model weights, system prompts, retrieval corpora, and tool manifests (for example model risk, security operations, and product owners) and embed those roles in change tickets and evidence packets.
  • Implement logging, retention, and alerting guardrails aligned to incident-response and audit expectations.
  • Run tabletop and failure-mode drills for access misuse, data leakage, and third-party disruptions, and schedule periodic adversarial simulations for prompt injection, tool misuse, and exfiltration paths aligned to your security testing calendar.

Example: secure internal assistant for loan operations

A regional lender needed an internal assistant for underwriting and servicing teams with strict privacy requirements. We designed a private network architecture with isolated environments, encrypted retrieval, scoped access, and full audit logging. We then mapped controls to the GLBA Safeguards Rule and FFIEC examination guidance, added 23 NYCRR Part 500-style MFA and incident playbooks, and prepared evidence artifacts for security and compliance review before rollout.

Frequently asked questions

Do you claim compliance or certification on our behalf?

No. We support your teams with technical design, control implementation, and evidence readiness. Your legal, compliance, and audit stakeholders make final compliance determinations.

Can we keep data private and isolated from public model training?

We configure provider and deployment controls to prevent use of customer content for public model training where the product supports it, and we validate those settings technically while aligning contractual terms—retention, training opt-out, logging, region and data-residency options—with your counsel and security team.

How do you support both US and international requirements?

We map common control objectives across US frameworks like the GLBA Safeguards Rule, FFIEC, 23 NYCRR Part 500 (NYDFS Cybersecurity Regulation), PCI DSS, and international regimes such as DORA and ISO/IEC 27001 Annex A, then tailor implementation to your operating jurisdictions.

Ready to improve your LLM stack?

We help teams move from demos to measurable business outcomes with robust quality, latency, and cost controls.

Book a financial AI security architecture call

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