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MLOps & Governance
Tracking, model registry, feature stores, lineage, and compliance.
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Cornelis Raises $205 Million to Build Open AI Networking Fabric
9+ hour, 54+ min ago (11+ words) konsulteer.com...
F5 Distributed Cloud Bot Defense Adds Device Intelligence and Agentic AI detection to Guard Against Automated Account Abuse
6+ hour, 32+ min ago (30+ words) F5, the global leader in delivering and securing every app and API, announced enhancements to F5 Distributed Cloud Bot Defense, introducing new device intelligence capabilities and specialized agentic AI protections....
Enterprise File Transfer for AI and Machine Learning Data Pipelines
12+ hour, 14+ min ago (673+ words) Speed alone is not enough when a failed handoff can leave a training run idle or make an experiment impossible to reproduce. Managed File Transfer adds repeatable automation, monitoring, recovery, access control, and a record of what moved, where, and…...
「先頭カラムが同じインデックス、それ1つ無駄ちゃう？」— 冗長インデックスの見つけ方と消し方
13+ hour, 16+ min ago (612+ words) テーブルのインデックスを眺めていて、こんな2本が並んでいるのを見つけたことはないだろうか。 KEY `idx_logs_on_import_id` (`import_id`) UNIQUE KEY `idx_logs_on_import_id_and_file` (`import_id`, `file_path`) 結論から言うと、上の単独インデックスはたいてい消せる。この記事では「なぜ消せるのか」「本当に消していいのか（消せない例外）」「どう機械的に見つけるか」「安全な消し方」までを一通りまとめる。 なぜ「単独 (import_id)」が冗長なのか ポイントは 複合インデックスの “左端プレフィックス（leftmost prefix）” は、単独インデックスとしても使える という B-Tree インデックスの性質だ。 (import_id, file_path) というインデックスは、まず import_id で並び、その中で file_path で並ぶ。電話帳が「姓 → 名」の順に並んでいるのを想像するといい。 「姓だけで探す」→ できる（左から順に並んでいるから） 「名だけで探す」→ できない…...
From Curiosity to Capability: Learning GPT-6 Astra and Claude Fable 5.1 With Cybersecurity Awareness
17+ hour, 31+ min ago (1079+ words) For beginners, developers, and technology leaders, moving from casual curiosity to real technical capability takes more than knowing how to craft a prompt. As AI systems gain autonomy, every capability expansion expands the potential attack surface. Developing functional expertise in…...
Root Network Pays Households for the Internet AI Labs Actually Need
1+ day, 1+ hour ago (471+ words) AI labs spend a lot of time on the public web. They collect pages for training sets, check models against live sites, and run agents that need to browse the way a person would. Most of that traffic still leaves…...
Corsair - OECD.AI
23+ hour, 2+ min ago (171+ words) Map your AI policy landscape, identify priorities and explore policy examples These tools and metrics are designed to help AI actors develop and use trustworthy AI systems and applications that respect human rights and are fair, transparent, explainable, robust, secure…...
Microsoft Foundry Elevates enterprise agents with governance | AI News Detail
1+ day, 15+ hour ago (268+ words) Microsoft Foundry Elevates enterprise agents with governance blockchain.news Microsoft Foundry Elevates enterprise agents with governance According to satyanadella, Foundry readies long-running agents with security, guardrails, audit logs, and FinOps across multi-agent, multi-model workflows. Satya Nadella highlighted a demonstration from…...
Snowflake wants agents to run your pipelines alone
2+ day, 10+ hour ago (477+ words) StartupHub.ai Snowflake wants agents to run your pipelines alone Snowflake's 5-stage autonomous data engineering model promises zero overhead but leaves security and governance proof for later. Snowflake published a five-stage Autonomous Data Engineering maturity model on Sept. 10 that would…...
AI Governance and Guardrails: Approved Models, RBAC and Audit Logs
2+ day, 20+ hour ago (284+ words) Decide which models, regions and data practices your organization allows. The gateway applies it to every team, key and request. Policy stops being a wiki page. An allow-list for the organization, narrowed per team. Anything outside it is refused at…...