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Article · AI Agents
The Silent Killer of AI: Detecting and Preventing Target Leakage in Enterprise RAG
Target leakage is the difference between a model that works in a notebook and one that works in the world. By implementing a Multi-Agent Leakage Prevention Pipeline in LangGraph, you ensure that your Enterprise RAG system is not just smart, but also honest. For FinBank, this means their loan default predictions are based on what they actually know about the applicant today, not on what happened to them tomorrow. This rigor is what separates experimental AI from enterprise-grade reliability.
Tuhin PaulSep 21291,000

Article · AI Agents

Okta MCP: Revolutionizing AI Agent Token Economics in Enterprise Finance

Learn how to build an enterprise financial audit system using Okta, MCP-style context optimization, LangGraph, RAG, and persistent memory to reduce token usage and improve security, compliance, and auditability.

Tuhin PaulAug 203111,000

Article · AI

Validating Explainability in Regulated Digital Wallet Onboarding with Multi-Agent RAG, MCP, and LangGraph State

Digital wallet onboarding requires explainable, fair, and auditable AI decisions. Explore SHAP and LIME limitations and a LangGraph, RAG, and MCP framework for compliant, validated, and actionable explanations.

Tuhin PaulAug 183071,000

Article · Langchain

Detecting Embedding Drift and Catalog Drift in Financial RAG

Build an audit-ready financial RAG system with LangGraph and Chroma that detects embedding and catalog drift, enforces tenant and temporal controls, monitors retrieval quality, and maintains traceable AI workflows.

Tuhin PaulAug 182381,000

Article · Langchain

Measuring Recommendation Quality in Treasury Cash Forecasting with LangGraph RAG

Enhance treasury cash forecasting with LangGraph RAG. Embed FRQS quality scoring for liquidity, compliance, value, and feasibility.

Tuhin PaulAug 132931,000

Article · AI Agents

Debugging Multi-Agent Memory in Fixed Deposit Orchestration

Fixing state bleed bugs in multi-agent AI for finance. Learn about mutable references, async concurrency, and hardened architectures for enterprise AI.

Tuhin PaulAug 102761,000

Article · LLMs

An Enterprise AML Investigation System with Built-In Defenses

Discover an enterprise AML investigation system with built-in defenses against 14 LLM failure modes in financial reasoning.

Tuhin PaulJul 313771,000

Video · AI Agents

From Black-Box to Guard-Box in Financial AI Security | Oleksandr Potapenko | AI Agents Conference 2025

In today's world, using AI for finance is common, but it comes with risks. This article explores two methods: Black-Box, where the AI is a mystery, and Guard-Box, where we keep it safe and clear. We will look at how to choose the best way to protect your money and data.

Baibhav KumarDec 18, 20254,267250

Video · AI Agents

AI Agents Conference 2025: The Future of Agentic AI, AI Agents | Mahesh Chand Keynote

Join industry leaders, researchers, and innovators as we explore the cutting-edge of AI agent technology. Discover the future of autonomous systems and intelligent automation. How to build AI Agents, workflow using AI Agents, Agentic AI, future of AI Agents, AI Hallucinations, Agentic RAGs with…

CSharp TVNov 14, 2025250

financial AI · by contributions

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Tuhin Paul7 posts · 1.9k readsMVP 2

Baibhav Kumar1 post · 4.3k reads 3

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