#RegTech

Articles about RegTech — exploring patterns, best practices, and real-world implementations in production systems.

8 posts tagged with regtech. ← All posts

#A2A (14)#ADK (8)#AG-UI (6)#AI (9)#AI Agents (311)#AI Architecture (22)#AI Cost (10)#AI Cost Optimization (8)#AI Engineering (230)#AI Evaluation (9)#AI Gateway (8)#AI Governance (29)#AI Red Teaming (9)#AI Research (9)#AI Safety (8)#AI Security (29)#AI in Production (12)#AML (3)#API Design (10)#API Security (8)#APIs (56)#AWS (17)#Accounting (9)#Agent Skills (3)#Agentic AI (24)#Agentic Commerce (12)#Agentic RAG (8)#Agents (4)#Amazon Bedrock (8)#Analytics (3)#Architecture (40)#Audit (3)#Authentication (11)#Authorization (3)#Automation (8)#Azure (11)#Azure AI Foundry (9)#Backend Engineering (310)#Benchmarks (3)#Best Practices (3)#BigQuery (6)#Business Finance (8)#Business Strategy (55)#C (8)#CI/CD (16)#Caching (11)#Capital Markets (14)#Card Payments (12)#Cards (13)#Career (25)#Checkpointing (4)#Claude Code (8)#Cloud (5)#Cloud Architecture (3)#Cloud Native (10)#Code Review (8)#Collaboration (5)#Communication (9)#Compliance (52)#Computer Networking (9)#Computer Science (32)#Computer Vision (5)#Concurrency (39)#Consulting (3)#Containers (10)#Context Engineering (10)#Conversational AI (8)#Cost Optimisation (5)#Credit (14)#Credit Risk (14)#CrewAI (8)#Crypto (12)#Cryptocurrency (12)#Cryptography (8)#Custody (9)#DSPy (8)#Data (13)#Data Engineering (12)#Data Structures (9)#Databases (38)#Deployment (4)#Design Patterns (10)#DevOps (24)#DevSecOps (21)#Developer Experience (5)#Developer Tools (5)#Distributed Systems (95)#Documentation (3)#Edge AI (8)#Embeddings (17)#Emotional Intelligence (8)#Energy (8)#Engineering (11)#Engineering Culture (3)#Engineering Practices (16)#Error Handling (4)#Evaluation (58)#Event-Driven Architecture (8)#FREE-AI (8)#FX (5)#Feedback (4)#FinOps (23)#FinTech (6)#Financial AI (14)#Financial Systems (129)#Fine-Tuning (11)#Fintech (131)#Flutter (8)#Foreign Exchange (5)#Forward Deployed Engineer (20)#Forward Deployed Engineering (8)#Fraud (10)#Function Tools (5)#Functional Programming (3)#Fundraising (8)#GCP (5)#Gemma (4)#Generative AI (3)#Git (8)#Go (220)#Go-to-Market (11)#Google ADK (36)#Governance (59)#Granite (6)#GraphQL (3)#Growth (3)#Guardrails (33)#HIPAA (3)#HTTP (3)#Harness Engineering (8)#Hiring (8)#Hugging Face (8)#Human-in-the-Loop (9)#IBM watsonx (8)#Identity (11)#Integration (3)#Intellectual Property (8)#Interfaces (3)#JavaScript (8)#KYC (11)#KYC and AML (12)#Kafka (10)#Kubernetes (17)#LLM (5)#LLM Inference (8)#LLM Infrastructure (8)#LLM-as-Judge (3)#LLMs (170)#LangChain (8)#LangGraph (11)#Leadership (27)#Ledger (12)#Legal (8)#Lending (14)#Linux (9)#LlamaIndex (8)#Load Balancing (3)#MCP (22)#MLOps (32)#Machine Learning (49)#Marketing (16)#Markets (4)#Memory (15)#Memory Management (5)#Metrics (6)#Microservices (3)#Microsoft Agent Framework (150)#Middleware (6)#Migration (9)#Mixture of Experts (5)#Monitoring (3)#Multi-Agent (10)#Multi-Agent AI (14)#Multi-Agent Systems (73)#Multimodal (3)#Multimodal AI (8)#NIM (5)#NVIDIA (8)#Networking (3)#OAuth (3)#OWASP (7)#Observability (49)#On-Device AI (8)#Open Source (7)#OpenTelemetry (5)#Operating Systems (9)#Operations (10)#Opinion (6)#Orchestration (10)#Organizational Design (8)#Payment Rails (16)#Payments (54)#People (8)#Performance (48)#Personalization (9)#Platform Engineering (9)#PreSales (8)#Privacy (5)#Privacy Engineering (3)#Process (4)#Product (30)#Product Management (8)#Production (11)#Programming (10)#Programming Languages (48)#Prompt Engineering (74)#Prompt Injection (14)#Protocol Buffers (3)#Protocols (9)#Providers (4)#Pydantic AI (8)#Python (142)#Quality (3)#RAG (59)#RBI (3)#REST (5)#Rails (16)#Reasoning Models (8)#Recommender Systems (8)#Reconciliation (3)#RegTech (8)#Regulation (9)#Reliability (52)#Resilience (4)#Responsible AI (5)#Retrieval (3)#Risk (13)#Rust (32)#SLSA (3)#SRE (22)#Sales (9)#Scalability (3)#Security (91)#Security Engineering (8)#Self-Evolving Agents (16)#Sessions (3)#Settlement (9)#Soft Skills (8)#Software (3)#Software Architecture (36)#Software Delivery (9)#Software Engineering (144)#Spanner (4)#Speech (8)#Startups (30)#Strands (8)#Strategy (4)#Streaming (31)#Structured Output (4)#Supply Chain Security (9)#Sustainability (8)#System Design (32)#Systems Programming (56)#Testing (53)#Threat Modeling (3)#Tool Use (22)#Tooling (5)#Tools (3)#Trading (8)#Treasury (6)#Type System (3)#Type Systems (11)#TypeScript (8)#Vector Databases (22)#Vector Search (11)#Venture Capital (8)#Version Control (8)#Voice AI (9)#Web Development (6)#Workflows (14)#eBPF (8)#gRPC (13)#smolagents (8)
Pratik Dhanave · ·7 min read

Building a Compliance Platform

The individual controls — KYC, AML, screening, audit, privacy, reporting — aren't separate products; they're facets of one system that shares data, decisions, and evidence. Building a compliance platform means engineering them as a coherent whole, with the auditability, explainability, and testability that turn a pile of checks into a defensible program. This is where the series comes together.

The individual controls — KYC, AML, screening, audit, privacy, reporting — aren't separate products; they're facets of one system sharing data, decisions, and evidence. Building a compliance platform means engineering them as a coherent, auditable, testable whole.

Pratik Dhanave · ·5 min read

Regulatory Reporting

Every compliance control eventually produces something you must tell a regulator: a suspicious activity report, a transaction report, a periodic filing. Regulatory reporting is where your internal compliance data becomes an external, deadline-bound, precisely-formatted obligation — and it's an unglamorous data-engineering problem where accuracy and timeliness are legal requirements, not quality goals.

Every compliance control eventually produces something you must tell a regulator: a suspicious activity report, a transaction report, a periodic filing. Reporting is where internal compliance data becomes an external, deadline-bound obligation where accuracy and timeliness are legal requirements.

Pratik Dhanave · ·7 min read

Data Privacy and Protection

Compliance requires you to collect and keep a great deal of personal data; privacy law requires you to protect it, limit it, and sometimes delete it. Data privacy is the compliance domain that governs the data all the other controls depend on — and it turns "how you handle personal information" from a courtesy into a set of enforceable engineering obligations.

Compliance requires you to collect and keep a great deal of personal data; privacy law requires you to protect it, limit it, and sometimes delete it. Data privacy governs the data all the other controls depend on — turning data handling into enforceable engineering obligations.

Pratik Dhanave · ·7 min read

Audit Trails and Immutability

Compliance ultimately comes down to one demand: prove it. Prove you verified the customer, prove you screened the transaction, prove you investigated the alert. The audit trail is how you prove it — an immutable, complete record of what happened and why — and it's the quiet backbone that makes every other compliance control defensible.

Compliance ultimately comes down to one demand: prove it. Prove you verified the customer, screened the transaction, investigated the alert. The audit trail is how you prove it — an immutable, complete record — the backbone that makes every other control defensible.

Pratik Dhanave · ·7 min read

Sanctions and Watchlist Screening

Sanctions screening looks simple — check if a name is on a list — and is genuinely hard, because names are messy, lists are fuzzy, and the penalty for a miss is among the most severe in all of compliance. It's a string-matching problem with strict-liability stakes, which is exactly what makes the false-positive-versus-false-negative balance so unforgiving.

Sanctions screening looks simple — check if a name is on a list — and is genuinely hard, because names are messy, matching is fuzzy, and the penalty for a miss is among the most severe in compliance: a string-matching problem with strict-liability stakes.

Pratik Dhanave · ·6 min read

AML and Transaction Monitoring

Knowing your customer is the front door; watching what they do is the rest of the house. AML transaction monitoring is the always-on system that scans activity for signs of money laundering — and it's a fascinating engineering problem precisely because the signal is rare, the cost of missing it is severe, and the cost of over-flagging drowns your investigators.

Knowing your customer is the front door; watching what they do is the rest of the house. AML transaction monitoring scans activity for signs of money laundering — a fascinating problem because the signal is rare, misses are severe, and over-flagging drowns investigators.

Pratik Dhanave · ·6 min read

KYC and Identity Verification

Before you can serve a customer in a regulated business, you have to answer a deceptively hard question: are they really who they claim to be? KYC turns that question into an engineering pipeline — collect, verify, screen, risk-assess — and getting it right means balancing legal rigor against an onboarding experience that doesn't drive legitimate customers away.

Before you can serve a customer in a regulated business, you have to answer a deceptively hard question: are they really who they claim to be? KYC turns that into a pipeline — collect, verify, screen, risk-assess — balancing legal rigor against onboarding friction.

Pratik Dhanave · ·6 min read

Compliance as Software

In a regulated business, compliance is not paperwork bolted onto the product — it's a set of hard requirements woven through the code, and treating it as an engineering discipline rather than a legal afterthought is what separates companies that scale safely from ones that get shut down. RegTech is the practice of building compliance in, as software.

In a regulated business, compliance is not paperwork bolted onto the product — it's hard requirements woven through the code, and treating it as an engineering discipline rather than a legal afterthought separates companies that scale safely from ones that get shut down.

All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse all posts or explore related topics using the tag cloud above.