How to Validate an IBAN Programmatically
Validate IBANs programmatically — format normalization, country rules, MOD-97 checksum, API integration, and error handling for fintech workflows.
Blog / Developer Guides
Developer Guides
Language-specific integration guides for TypeScript, Python, Node.js, and Next.js.
IBAN Validation: Format Check vs Checksum Validation
IBAN format checks vs MOD-97 checksum validation — related but distinct steps. A valid checksum does not prove an account exists.
How Credit Card Number Validation Works
Credit card validation — format, length, Luhn checksum, and brand detection. A valid number does not prove ownership, funds, or authorization.
Luhn Algorithm Explained for Developers
The Luhn algorithm for developers — how checksum validation works, safe implementation examples, and what it does and does not verify.
Validation API vs Building Validation In-House
Validation API vs in-house implementation — effort, maintenance, edge cases, latency, cost, and when each approach makes sense.
How to Add AI Guardrails to a Next.js App
Add AI guardrails to Next.js App Router apps — server-side Unified Guard calls, input/output checks, and keeping API keys off the client.
How to Add AI Guardrails to a Node.js API
Add AI guardrails to Node.js APIs — server-side guard calls, environment variables, request validation, and verdict handling in production.
How to Add AI Guardrails in Python
Add AI guardrails in Python — REST calls to Unified Guard, environment-based API keys, error handling, and pipeline placement.
How to Secure OpenAI API Inputs and Outputs
Secure OpenAI API inputs and outputs with pre-model and post-model guardrails — injection screening, PII detection, and output safety.
How to Add Guardrails to Anthropic Claude Applications
Add guardrails to Anthropic Claude applications — provider-neutral security checks around model calls, tools, and outputs.
How to Add Guardrails to Gemini Applications
Add guardrails to Google Gemini applications — input screening, output moderation, and action checks around Gemini API calls.
AI Security with the Vercel AI SDK
AI security with the Vercel AI SDK — where to place guardrails around messages, generation, tool calls, and streamed output.
Adding Security Guardrails to LangChain
Add security guardrails to LangChain — durable architecture for input checks, output moderation, and tool-call validation.
Adding AI Security Checks to n8n Workflows
Add AI security checks to n8n workflows — HTTP Request nodes, authentication, verdict branching, and error handling without a native IdenticAPI node.
Adding AI Security Checks to Make Workflows
Add AI security checks to Make (Integromat) workflows — generic HTTP modules, API key auth, and branching on guard verdicts.
How to Secure an AI Chatbot with One Guard Endpoint
Secure an AI chatbot with one Unified Guard endpoint — combined prompt injection, PII, and output safety checks in a single request.
How to Secure a RAG Chatbot Before Production
Secure a RAG chatbot before production — retrieval boundaries, injection screening, sensitive data, output safety, and authorization.
How to Add AI Security to a SaaS API Route
Add AI security to SaaS API routes — middleware control flow, input guards, model calls, output checks, and tenant-aware policies.
How to Log AI Security Events Without Storing Sensitive Prompts
Log AI security events without storing sensitive prompts — metadata-first logging, verdicts, request IDs, and privacy-safe audit trails.
How to Test AI Security Guardrails in CI
Test AI security guardrails in CI — fixture categories, expected verdicts, regression tests, and false-positive monitoring.
What Should an AI Security API Return?
AI security API response design — request IDs, verdicts, findings, risk, reasons, confidence, usage units, and consistent error models.
Prompt Injection Detection with TypeScript
Integrate prompt injection detection in TypeScript and Next.js — server-side screening, API calls, error handling, and where to place guards in your request flow.
Prompt Injection Detection with Python
Call a prompt injection detection API from Python — request flow, environment variables, response handling, and integration patterns for LLM backends.
PII Detection in Node.js
Integrate PII and secrets detection in Node.js — server-side API calls, redaction options, and placement in Express or Next.js request handlers.
PII Detection in Python
Call IdenticAPI PII detection from Python backends — authentication, request payloads, redaction, and error handling for LLM preprocessing.
How to Add Output Safety Checks in Next.js
Add AI output safety checks in Next.js App Router — server-side moderation, route handlers, streaming considerations, and safe client rendering.
How to Add AI Output Moderation in Python
Integrate AI output moderation in Python services — API authentication, verdict handling, and placement in RAG or chat backends.