TL;DR AI guardrails are runtime checks that decide whether an AI system’s inputs, outputs and actions are allowed before they take effect. The four main kinds are input, output, tool or action, and policy guardrails. Each kind sits at a different point in the request path, from the user’s prompt to the final response. Teams build them with rules, classifiers,
TL;DR Agentic AI security is the set of controls that stops an AI agent from taking harmful actions with the tools, data and permissions it holds. It differs from model security because the risk sits in what the agent does, not only in what it says. Build it from a threat model that covers tools, memory, identity, delegation and trust
TL;DR Data pipeline architecture is the design that decides how data moves from source systems to the people and applications that use it. A sound design has four layers, which are ingestion, processing, storage and serving, with orchestration running them in order. Batch and streaming decide how often data moves. Lambda and kappa decide how many processing paths you maintain,
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