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Guide outlines how to build security-audited AI chat interfaces in TypeScript

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A technical guide published on DEV Community details how frontend engineers can build production-grade AI chat applications in TypeScript that meet enterprise security standards. The article addresses growing threats such as prompt injection attacks, PII leakage, and supply chain vulnerabilities, which have raised the security bar for AI-facing interfaces in 2024. It walks through a full development lifecycle using Vercel's assistant-ui library alongside a Next.js backend-for-frontend proxy, ensuring LLM API keys are never exposed directly to the browser. Key steps covered include strict TypeScript configuration, dependency hygiene with pnpm, context sanitization, PII redaction, and automated security scanning. The guide targets compliance with frameworks such as OWASP Top 10 for AI, SOC 2, and ISO 27001.

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