Areebi protects sensitive financial data across every AI interaction - from trading desk analysis to customer service automation. Deploy AI with real-time DLP, SOC 2 compliance automation, and immutable audit trails built for regulatory examination.
Financial institutions face unique AI governance challenges - from PCI-DSS scoped data in prompts to information barrier enforcement across divisions. Generic AI policies are not sufficient.
Analysts paste account numbers, trading positions, client portfolios, and proprietary models into AI tools. A single prompt containing PCI-DSS scoped cardholder data or material non-public information (MNPI) creates regulatory exposure across SEC, FINRA, and OCC examination frameworks - with penalties that can reach tens of millions of dollars.
Financial regulators are issuing targeted guidance on AI governance. The OCC expects banks to demonstrate AI risk management controls. FINRA is examining AI usage in trading and compliance functions. The SEC requires documentation of AI-assisted decision-making. Without a centralized audit trail for AI interactions, every examination becomes a material finding.
Traders use unapproved AI tools for market analysis. Portfolio managers leverage consumer AI for investment research. Compliance analysts adopt AI for regulatory interpretation. Each unsanctioned tool creates an unmonitored data exfiltration channel that circumvents your DLP stack, communication archiving, and information barrier controls.
Chinese walls between investment banking, research, and trading are foundational to compliance. When employees across these divisions share the same AI tools without governance, information barrier controls break down. A single cross-divisional prompt can constitute an information barrier breach with material regulatory consequences.
Areebi delivers the technical controls financial institutions need to deploy AI at scale while satisfying regulators, protecting client data, and enforcing information barriers.
Areebi's DLP engine detects and masks credit card numbers, account numbers, routing numbers, SSNs, trading positions, and proprietary financial data in real time. The engine understands financial data patterns - ISIN codes, CUSIP identifiers, SWIFT/BIC codes, and structured financial instrument descriptions - catching data leakage that generic DLP tools miss entirely. Every detection is logged with full context for regulatory examination.
Explore DLP capabilitiesPre-built compliance templates map to SOC 2 Type II Trust Service Criteria, PCI-DSS requirements, and financial regulatory examination frameworks. Areebi generates compliance evidence automatically - access logs, policy enforcement records, data handling documentation, and control effectiveness metrics. When examiners request AI usage documentation, export complete audit packages in one click.
View SOC 2 compliance detailsThe Areebi browser extension identifies and logs unsanctioned AI tool usage across all business units - trading desks, research teams, compliance departments, and back-office operations. When an analyst opens an unapproved AI tool, the extension captures the activity for compliance review, alerts the appropriate supervisory team, and redirects the user to your governed AI environment. This eliminates shadow AI without disrupting productive workflows.
Learn about shadow AI preventionAreebi's policy engine enforces Chinese wall controls at the AI layer. Investment banking, equity research, trading, and wealth management each operate in isolated workspaces with independent AI policies, model access controls, and data boundaries. Cross-workspace data flow is blocked and logged, maintaining information barrier integrity across every AI interaction.
See the policy engineEvery AI interaction generates a tamper-proof audit record including user identity, timestamp, the full prompt (with sensitive data masked), model response, applied policies, and DLP actions taken. These logs are structured for regulatory examination workflows - exportable in formats that satisfy OCC, FINRA, SEC, and state banking regulator requirements. Retention policies are configurable to meet your institution's recordkeeping obligations.
Review audit loggingExplore how Areebi's unified platform serves other regulated industries including healthcare, legal, and government.
Real-world scenarios where Areebi enables financial services AI innovation while maintaining regulatory compliance and client trust.
A mid-tier asset management firm deploys Areebi to govern AI-assisted risk analysis workflows. Portfolio managers use AI to analyze market scenarios, stress-test positions, and generate investment committee materials. Areebi's DLP engine masks client identifiers and proprietary position data before reaching the LLM. The policy engine enforces information barriers between fund strategies. Audit logs capture every AI interaction for SEC examination readiness - satisfying the firm's compliance officer that AI adoption doesn't create new regulatory risk.
A regional bank deploys AI-assisted customer service across its retail banking, mortgage, and wealth management divisions. Customer interactions inherently contain account numbers, SSNs, income data, and credit information - all in PCI-DSS and GLBA scope. Areebi masks sensitive customer data in every AI prompt, enforces division-specific policies for what AI can access and recommend, and generates compliance documentation that satisfies both internal audit and OCC examination requirements.
A compliance team at a multinational bank uses AI to review KYC documentation, analyze suspicious activity reports (SARs), and draft regulatory filings. These workflows involve highly sensitive customer identification data, transaction patterns, and law enforcement sensitive information. Areebi governs every interaction - masking personal identifiers, enforcing need-to-know access controls, logging all AI-assisted compliance decisions, and ensuring SAR confidentiality requirements under BSA/AML regulations are maintained throughout the AI-assisted workflow.
Areebi maps to the compliance frameworks that financial institutions operate under, with pre-built templates and automated evidence collection for examinations.
Review our trust and security architecture or explore compliance implementation guides for financial services.
Answers to common questions from CISOs, chief compliance officers, and technology leaders at financial institutions evaluating AI governance.
Areebi's DLP engine inspects every AI prompt in real time for PII, account numbers, trading positions, credit card numbers (PCI-DSS scope), SSNs, and proprietary financial models. Sensitive data is automatically masked or blocked before reaching any LLM, with configurable policies per business unit, desk, or user role.
Yes. Areebi provides immutable, tamper-proof audit logs for every AI interaction, pre-built SOC 2 Type II compliance templates, and one-click exportable reports mapped to SOC 2 Trust Service Criteria. These logs satisfy examiner requirements from the OCC, FINRA, SEC, and state banking regulators.
Areebi's shadow AI browser extension monitors for unsanctioned AI tool usage across all browser-based applications, including unauthorized ChatGPT sessions, third-party AI coding assistants, and unvetted AI analytics tools. When detected, interactions are logged, users are redirected to approved AI channels, and compliance teams receive real-time alerts.
Yes. Areebi's policy engine supports workspace isolation between legal entities, subsidiaries, and regulated business units. Each entity can have independent AI policies, DLP rules, model access controls, and audit trails - critical for broker-dealers, banking entities, and insurance subsidiaries operating under different regulatory frameworks.
See how Areebi protects sensitive financial data, automates SOC 2 compliance, and enables your teams to use AI with confidence. Schedule a personalized demo with our financial services solutions team.