Security hardening Claude agents in financial services
Sandbox, least privilege, secrets handling, and prompt-injection defense for Claude agents on regulated financial data and money-moving tools.
Agentic AI, LLM engineering, and the models behind modern automation — multi-agent systems, LLM evaluation and comparisons, RAG, fine-tuning, AI infrastructure, security, and production AI engineering.
From the blog
Sandbox, least privilege, secrets handling, and prompt-injection defense for Claude agents on regulated financial data and money-moving tools.
Make Claude finance agents fast and cheap with prompt caching, model routing, batch processing, and lean context — without sacrificing output quality.
Catch infinite loops, wrong MCP tool calls, and hallucinated arguments in Claude financial agents — with traces, loop breakers, and strict argument validation.
What to put in a Claude financial agent's context, what to leave out, and why — minimal masked data, fenced untrusted input, and audit-ready prompts.
Wire tools and MCP servers into a Claude financial agent the right way — server-held auth, typed schemas, structured errors, and idempotent writes.
Reusable code-level patterns for Claude agents in finance — layered prompts, verb-shaped tools, cited-evidence context, and deterministic guardrails.
A concrete walkthrough for building a Claude agent that answers account questions and runs guarded transfers — tools, entitlements, idempotency, and audit.
How a production Claude agent for financial services fits together — ingress, policy gates, MCP tools, context assembly, memory, and the audit trail.
AWS Multi-Agent Orchestrator ships supervisor routing, classifier, and shared memory. How to compose a customer-support agent team on Bedrock that scales cleanly.