English 
NTT Advanced Technology Corporation plans to begin offering a Software as a Service (SaaS) version of its AI anomaly detection solution “@DeAnoS”*1 in August 2025 as a new delivery format.
“@DeAnoS” is a solution that uses deep learning technology to automatically detect abnormalities and signs of abnormalities in IoT, ICT systems, and equipment with a high degree of accuracy, and supports the improvement of the efficiency of maintenance and operation work and the promotion of DX (digital transformation). By adding a SaaS version to the lineup in addition to the conventional on-premise version, it will be possible to use it more quickly and easily.
1. Benefits of Introducing the SaaS Version of “@DeAnoS”
“@DeAnoS” is based on “DeAnoS®,” an anomaly detection technology developed by NTT ネットワークサービスシステム研究所は、ディープラーニングにより1,000を超える多様な監視項目を一度に学習。IoT、ICTシステム、機器の異常や予兆を自動検知し、原因を推定し、保守運用者の早期対応を支援します。
こちらもお読みください： アブソリュートとIIJ、Flex Mobilityにセキュア・ウェブ・ゲートウェイを追加
新たに追加されたSaaS版は、インターネットに接続できる環境であればすぐに利用を開始できるだけでなく、初期設定が不要なため導入コストを大幅に削減できます。また、お客様はシステムのアップデートを行う必要がないため、常に最新の検知アルゴリズムや機能をご利用いただけます。さらに、ご要望に応じて経験豊富なデータアナリストが検知のサポートを行いますので、経験の浅いお客様でも安心して運用いただけます。
With the addition of the SaaS version, more customers will be able to use “@DeAnoS” as part of their efforts to improve the efficiency of their maintenance and operation work and promote digital transformation, contributing to the optimization of maintenance and operations in a wide range of industries, including telecommunications infrastructure, manufacturing, construction, and services.
2.提供形態
“@DeAnoS” will be offered in two forms: a SaaS version in addition to the existing on-premise version.
3.今後の展望
NTT-AT is currently developing a “knowledge-driven system operation automation solution”*2 that utilizes generative AI technology to propose and automatically implement countermeasures after detecting signs of anomalies. By linking “@DeAnoS” with the “knowledge-driven system operation automation solution” in the future, we aim to further advance operations and support rapid and accurate judgment and action at maintenance and operation sites.
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