Secure Core Banking Actions
Connect Large Action Models (LAMs) to legacy mainframe databases using the Model Context Protocol (MCP) to execute secure, autonomous banking operations.
The Baseline
Modern AI cannot naturally interact with legacy SQL databases used in core banking without massive security risks. Exposing sensitive financial mainframes to internet-connected models or unstructured AI queries violates core architectural principles.
Large Action Models (LAMs) utilize the Model Context Protocol (MCP) to execute secure, permissioned queries against mainframe databases. MCP acts as a secure bridge, translating AI intent into strict, validated database actions.
Bridges legacy storage with modern AI, allowing agents to fetch balances and execute transfers autonomously. Banks modernize customer and teller operations without replacing underlying legacy infrastructure.
Architecture Flow
Intent Parsing (LAM)
A customer or internal teller initiates a request (e.g., "Transfer $500 from checking to savings"). The Large Action Model parses the intent locally within the secure AVELIN infrastructure.
Protocol Translation (MCP)
The Orchestration Engine uses the Model Context Protocol (MCP) to translate the LAM's natural language intent into a strict, parameterized SQL query or legacy API call.
Permission Validation (RBAC)
Before execution, the system checks internal Role-Based Access Control (RBAC) to verify the specific agent and the initiating user have the authority to modify the targeted account.
Secure Execution & Logging
The query securely hits the legacy core banking database, executes the transfer, and returns the confirmation state. The entire execution path is recorded immutably via y-ray deep-trace.
Core Infrastructure
| Component | Role |
|---|---|
| Large Action Models (LAMs) | Parses complex user intents and formulates the exact sequential steps required to complete a banking operation autonomously. |
| Model Context Protocol (MCP) | Acts as the secure, standardized bridge between the AI agent and the legacy SQL database, ensuring queries are strictly parameterized. |
| Orchestration Engine | Manages the multi-step execution, enforces RBAC permissions, and handles error recovery if the database query fails. |
Technical Specifications
AES-256 for data at rest; TLS 1.3 for data in transit
PCI-DSS, GDPR, and strict internal data access control standards
Deploys natively inside your existing AWS/Azure VPC or entirely on-premise, directly adjacent to legacy mainframes
Build this architecture
Map this workflow to your internal data models. Deploy AVELIN AI to gain sovereign control over your enterprise intelligence.
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