Deeper AI integration in the framework core, modern authentication via OAuth / OIDC and WebAuthn passkeys driven from the system browser, and a few smaller additions.
Build AI-native data systems with clear ownership, semantic contracts, and governance. Learn how accountability, retrieval, and data quality shape AI behavior.
A major GitHub breach showed how extension poisoning, Node ecosystem weaknesses, and insecure developer workstations can bypass traditional security defenses.
Free VS Code extension for Azure AI Foundry agent traces into your editor as an interactive timeline — see tool calls, token costs, and conversation replays.
A practical checklist for evaluating AI data readiness, covering data quality, governance, lineage, access controls, retrieval systems, and ongoing monitoring.
Automate Power Platform deployments by resolving connection references and activating cloud flows after import, so every environment is ready when the pipeline finishes.
LLMs can quickly generate web application code, but AI-written code may contain security vulnerabilities. This article reviews testing methods for LLM systems.
Three structural shifts enterprise data security teams should make in 2026, based on verifiable data and a decade of experience building protection products.