Secure AI for financial services teams.
Banks, asset managers, broker-dealers, and insurance carriers handle data classes that no other industry sees in the same combination: MNPI, customer account records, deal documents, watch lists, and pre-announcement strategic information. LogosGuard enforces sensitive-data policy at the moment of submission, across every AI tool, with deal-status-aware deny-lists that update as the calendar moves.
Financial services has the strictest data-egress culture in the enterprise. AI tools challenge that culture every day. LogosGuard restores the control without removing the productivity.
Why financial services has a unique AI risk profile.
Banks, asset managers, broker-dealers, and insurance carriers handle data classes that no other industry sees in combination: material non-public information (MNPI), client account records, portfolio holdings, regulatory filings in draft, deal documents, and financial forecasts that move markets. The penalty surface for accidental disclosure is high. The same employees who handle that data also have legitimate reasons to use AI, to summarize a 200-page deal book, compare clauses across precedent, draft a client letter, or interpret a complex tax memo. The control problem is to keep those workflows useful while preventing egress.
Law firms and in-house legal teams share much of the same risk profile around privileged communications and counterparty confidentiality. See Legal for that view.
Sensitive data that must not enter AI prompts.
- Material non-public information (MNPI): deal documents, earnings drafts, strategic memos, watch lists.
- Customer records: account numbers, balances, tax IDs, KYC documents.
- Portfolio data: holdings, weights, performance attribution.
- Authentication artifacts: one-time codes, security questions, session tokens.
- Deal documents: term sheets, purchase agreements, confidential schedules.
- Restricted counterparties: names on the active deal list or conflict list.
- Internal research: analyst notes, model outputs, watch lists.
MNPI: hard-block, no exceptions.
MNPI is structurally different from PII or PHI. The materially-sensitive content is usually the point of the workflow; redacting it does not leave a useful prompt. There is no "de-identified MNPI." The right action is hard-block plus a clear explanation of the policy and the escalation path.
LogosGuard's recommended policy treats MNPI as a hard-block category and records every detection in the audit log for surveillance review. Repeated detections on the same user or matter route to compliance, the audit trail is reviewable in minutes, not hours.
Live policy targets, deal-status-aware.
MNPI definitions change with the calendar. A deal codename that is restricted today is public the day it announces; a watch list adds and removes entries weekly. LogosGuard's policy engine supports live deny-lists that reference live company sources, your deal-status sheet, your research watch-list, your conflict list, so the policy reflects current state without requiring a redeploy. When a deal closes and the codename moves to the public list, MNPI policy on that codename relaxes automatically.
How LogosGuard fits.
LogosGuard runs at the browser and desktop layer where employees actually use AI. It detects the sensitive data classes above with format-aware patterns and configurable allow- and deny-lists for institution-specific identifiers (account number formats, deal codenames, internal entity names, restricted counterparty lists). When sensitive data is detected, it can warn, redact, or hard-block based on policy. Logs are produced for compliance and surveillance review without storing the underlying content.
Compliance, surveillance, and audit logs.
Audit logs are designed for the compliance teams that exist in financial services. Every detection event is recorded with user, AI tool, policy decision, and detected categories. The underlying prompt content is not retained, so logs do not become a second exposure surface. Logs export to your existing SIEM and surveillance pipelines.
Deployment options for regulated environments.
Browser extension deployment fits the majority of front- and middle-office workflows that happen in the browser. Desktop coverage extends to native AI clients used by research and risk teams. For workflows where external AI submission is not acceptable at all (for example, certain MNPI-heavy research workflows), LogosGuard supports private LLM deployment so prompts and outputs never leave the institution's environment. See security & deployment.