Implement secure API design patterns including authentication, authorization, input validation, rate limiting, and protection against common API vulnerabilities
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Senior Information Security Manager specializing in ISO 27001 and ISO 27002 implementation for HealthTech and MedTech companies. Provides ISMS implementation, cybersecurity risk assessment,...
Comprehensive security vulnerability scanner for Next.js and TypeScript/JavaScript projects. Detects OWASP Top 10 vulnerabilities, XSS, injection flaws, authentication issues, hardcoded secrets,...
Security best practices for backend development, microservices, and secure coding patterns with emphasis on input validation and authentication
Validate container and Kubernetes security using CIS benchmarks with pod security standards, RBAC review, and image vulnerability checks.
Implement comprehensive cloud security across AWS, Azure, and GCP with IAM, encryption, network security, compliance, and threat detection.
Validate application security using OWASP Top 10 2021 and API Security Top 10 guidelines with injection prevention and access control checks.
Secure REST APIs with authentication, rate limiting, CORS, input validation, and security middleware. Use when building or hardening API endpoints against common attacks.
Implement comprehensive security audit logging for compliance, forensics, and SIEM integration. Use when building audit trails, compliance logging, or security monitoring systems.
Security best practices for Mapbox access tokens, including scope management, URL restrictions, rotation strategies, and protecting sensitive data. Use when creating, managing, or advising on...
Security best practices for Mapbox access tokens, including scope management, URL restrictions, rotation strategies, and protecting sensitive data. Use when creating, managing, or advising on...
llm
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Large Language Model development, training, fine-tuning, and deployment best practices.
llm-application-dev
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Building applications with Large Language Models - prompt engineering, RAG patterns, and LLM integration. Use for AI-powered features, chatbots, or LLM-based automation.
llm-application-dev
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Building applications with Large Language Models - prompt engineering, RAG patterns, and LLM integration. Use for AI-powered features, chatbots, or LLM-based automation.
llm-application-dev
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Building applications with Large Language Models - prompt engineering, RAG patterns, and LLM integration. Use for AI-powered features, chatbots, or LLM-based automation.
llm-app-patterns
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Production-ready patterns for building LLM applications. Covers RAG pipelines, agent architectures, prompt IDEs, and LLMOps monitoring. Use when designing AI applications, implementing RAG,...
llm-app-patterns
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Production-ready patterns for building LLM applications. Covers RAG pipelines, agent architectures, prompt IDEs, and LLMOps monitoring. Use when designing AI applications, implementing RAG,...
llm-app-patterns
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Production-ready patterns for building LLM applications. Covers RAG pipelines, agent architectures, prompt IDEs, and LLMOps monitoring. Use when designing AI applications, implementing RAG,...
llm-app-patterns
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Production-ready patterns for building LLM applications. Covers RAG pipelines, agent architectures, prompt IDEs, and LLMOps monitoring. Use when designing AI applications, implementing RAG,...
llm-app-patterns
0.00
Production-ready patterns for building LLM applications. Covers RAG pipelines, agent architectures, prompt IDEs, and LLMOps monitoring. Use when designing AI applications, implementing RAG,...