Trusted by leading businesses
HLBNGA’s LLM Solutions are designed to give boards, executives, and compliance teams the same level of control over AI that they expect from financial systems, internal controls, and regulated data environments.
| Time | User | Model | Action |
|---|---|---|---|
| 09:41 | Analyst · AML | HLBNGA on-prem | LOGGED |
| 09:38 | Onboarding | HLBNGA on-prem | REDACTED |
| 09:31 | Finance | Public chatbot | BLOCKED |
| 09:27 | Compliance | HLBNGA on-prem | LOGGED |
Trusted by leading businesses
Audit, risk, and compliance teams face increasing pressure to adopt AI, while regulators demand stronger evidence of control. Requirements for traceability, audit trails, data residency, and clear responsibility allocation (RACI) create significant barriers to uncontrolled LLM usage.
Organizations relying on public or opaque AI platforms often lack visibility into how outputs are generated, how data is handled, and who is accountable — exposing them to regulatory findings, penalties, and reputational damage.
Organizations are adopting LLMs faster than their ability to govern them. This creates unmanaged exposure across financial reporting, compliance decisions, and sensitive data environments. Without a formal LLM control framework, organizations face:
Decisions influenced by AI with no record of the prompt, the model, or the reasoning behind the output.
Sensitive data pasted into public tools leaves your environment — and your control — the moment it is submitted.
No clear allocation of responsibility for AI usage, so nobody formally owns the risk when an output is wrong.
When auditors or regulators ask how AI was used in a decision, there is nothing on record to show them.
Our focus remains to allow clients to benefit from AI — enhanced efficiency, insight generation, automation — without compromising their data privacy or compliance obligations.
Our LLMs can run entirely within a client’s infrastructure — no need to send data to external cloud services. That means sensitive data (beneficial-ownership records, sanctions data, transaction histories, adverse media intelligence) never leaves your organisation.
All outputs, alerts, and decisions generated by our LLMs are fully traceable and auditable — supporting compliance, audit-readiness and regulatory reporting.
Our LLMs are trained on data relevant to sanctions screening, PEP monitoring, adverse media, financial crime detection and third-party due diligence. This domain specificity ensures outputs are focused, relevant and actionable.
Critical decisions remain subject to human review. Our LLMs are tools for analysts and compliance officers — not black-box decision makers.
HLBNGA provides organization-wide visibility into LLM usage, including sanctioned and unsanctioned tools, departmental adoption, and high-risk use cases. This establishes a single source of truth and forms the foundation for effective AI governance.
Formal access controls ensure LLM usage aligns with internal policies and regulatory expectations. Role-based permissions, approved use cases, and restriction enforcement transform AI usage from ad hoc experimentation into controlled enterprise capability.
All prompts, responses, and contextual metadata are logged to support explainability, accountability, and audit requirements. This enables organizations to reconstruct AI-influenced decisions without exposing sensitive information.
HLBNGA enables organizations to evidence AI controls, governance maturity, and compliance alignment. AI usage becomes auditable by design, supporting internal audit reviews and regulatory examinations without manual intervention.
Controls for data residency, model approval, and change management ensure LLM deployments remain compliant with financial, AML, and data protection obligations, even in highly regulated environments.
For sensitive or regulated use cases, HLBNGA supports offline and air-gapped LLM deployments within private or on-premise infrastructure. This enables advanced AI capability while eliminating external data leakage risk.
We’re not just using off-the-shelf LLMs — we’re building secure, bespoke language models designed specifically for compliance, risk screening, and financial crime prevention.