Banks, asset managers, insurers, and fintech firms manage some of the most sensitive data in the economy—client PII, trading models, internal risk assessments, proprietary strategies, and regulatory communications. This information is tightly governed by frameworks like FINRA, SEC Rule 17a-4, SOC 2, SOX, and internal governance policies that demand strict control over where data lives and how it’s processed.
Public AI tools, even enterprise-grade platforms, create inherent conflicts for firms operating under these rules. They require data to be transmitted offsite, often log user prompts by default, lack deterministic audit trails, and operate in multi-tenant environments where customer isolation is limited at best. Even simple tasks—like summarizing a confidential memo or searching for contract clauses—can violate policy when routed through a third-party API.
These tools also don’t integrate cleanly with internal systems. They can’t access your SharePoint permissions, Jira ticket classifications, file shares, or internal portals. That means the content they generate is generic, hallucination-prone, and disconnected from the real workflows your teams rely on.
IronCloud changes the model.
Instead of asking your firm to trust a SaaS provider with sensitive operations, IronCloud brings modern AI directly into your infrastructure—on-prem, in GovCloud, or in a private VPC. Your data stays local. Prompts and completions never leave your boundary. Telemetry is shut off by default. And all processing runs inside hardened, single-tenant containers that your IT team can audit, scale, and control.
IronCloud is how financial institutions use AI without creating new regulatory exposure or sacrificing operational integrity. It’s fast, powerful, and compliant—because it was built for environments where failure isn’t just inconvenient. It’s unacceptable.
Turn lengthy onboarding documents, audit memos, or market risk reports into concise summaries—processed entirely within your infrastructure. Teams get clarity faster, with no manual redlining or external processing.
Automatically label or route tickets, reports, and disclosures based on content—like identifying legal vs. operational issues. IronCloud keeps this logic fully auditable and internal.
Ask questions like “Which contracts mention break clauses?” and get answers from SharePoint, Confluence, or your file server. Results are grounded in your content—not public LLM data.
Employees can securely upload PDFs, policy docs, or internal forms for summarization or tagging—without risking exposure to third-party APIs. Built-in guardrails enforce internal access rules.
IronCloud agents summarize Jira tickets, detect blockers, or tag issues for triage—running locally with no data leakage. Finance teams use them for IT, ops, and compliance support.
Turn meeting transcripts, email threads, or raw notes into structured summaries and formal updates—ready for board review or regulatory recordkeeping.
IronCloud ensures that every prompt, document, and answer stays inside your environment. No telemetry. No SaaS logging. Just audit-ready results grounded in your actual business content.
✔️ Fully self-hosted
✔️ Auditable responses
✔️ FINRA, SOC 2, SEC-ready environments
