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ExternalAI
AWS Machine Learning Blog

Govern models with MLflow and Amazon SageMaker AI Model Registry sync: Part 2

Governing models across accounts is the next step after automatic model registration. This post extends managed MLflow and Amazon SageMaker AI Model Registry sync to two cross-account governance topologies: a hub-and-spoke pattern that centralizes governance with AWS RAM, and a hybrid pattern that keeps development accounts isolated.

Amazon SageMaker AIAnnouncementsIntermediate (200)
AWS Machine Learning BlogRead original
ExternalAI
AWS Machine Learning Blog

Govern models with MLflow and Amazon SageMaker AI Model Registry sync: Part 1

Managed MLflow on Amazon SageMaker AI now syncs richer model metadata (training metrics, evaluation results, inference specs, and lineage) into the SageMaker AI Model Registry, with lifecycle stage promotion. Part 1 shows how to govern candidate models in a single account using IAM guardrails.

Amazon SageMaker AIAnnouncementsIntermediate (200)
AWS Machine Learning BlogRead original
ExternalSoftware Engineering
DZone

Why AI Hallucinations Are a Quality Engineering Problem

The first time most teams encounter a hallucination in production, they treat it like a bug. They investigate the specific output, trace it back to a prompt or a context window, adjust something, and move on. What they do not do is ask the more important question: how many other outputs like this have already reached users without anyone noticing? That question is uncomfortable because the honest answer, for most enterprise AI deployments, is that nobody knows.

DZoneRead original
ExternalCybersecurity
SecurityWeek

The Hidden Instructions That Can Hijack AI Agents

Malicious prompts concealed in documents, metadata, emails, images and code can manipulate autonomous agents into taking dangerous actions. The post The Hidden Instructions That Can Hijack AI Agents appeared first on SecurityWeek.

Artificial IntelligenceAIPrompt Engineering
SecurityWeekRead original
ExternalDatabase
AWS Database Blog

Getting started with Oracle Database@AWS: A complete onboarding guide

A practical, step-by-step guide to getting Oracle Database@AWS up and running. It covers the five procurement and onboarding steps, from securing your AWS Marketplace offer through validating prerequisites, linking your OCI tenancy, and configuring IAM, so you can move from purchase to a provisioning-ready environment.

Best PracticesIntermediate (200)Oracle Database@AWS
AWS Database BlogRead original

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