HAIP 1.0 mandates signed requests (JAR), encrypted responses, and certificate-based verifier identity for VP flows. Here's how to approach it with Spring and Android.
AI Agents perceive, reason, plan, and act autonomously using LLMs. This article breaks down the core components that power every agent and shows you how to build one.
Compare planning and execution times for similarity searches using trigram matching, case-insensitive regex and wildcard patterns, with and without GiST or GIN indexing.
ML systems introduce security risks most teams aren’t prepared for. The piece explores emerging ML-specific threats and what effective MLSecOps looks like in practice.
How cloud-native microservices transform insurance analytics by enabling scalability, real-time processing, and seamless modernization of legacy platforms.
Feature flags and safe rollouts with Azure App Configuration for large SPA teams, hands-on setup, core principles, TypeScript code for backend and frontend.
MCP makes LLM tool access easy and turns it into a bigger security surface. Treat it like infrastructure: least privilege, tight tool scope, and strong audit logs.
AI enhances Workday integrations by improving mapping, testing, and monitoring, but it fails when used without human oversight, domain expertise, and strong governance.
Most Android AI features stay single-modal; this architecture fuses vision, text, and sensor inputs to deliver smarter, context-aware, privacy-conscious experiences.