Build Predictive Machine Learning with Flink | Workshop on Dec 18 | Register Now
不正行為を先回りして阻止することはできるか？
不正行為者の次の動きや出方を予想できさえすれば阻止できます！
すべてのデータを大規模に結合して処理し、より迅速かつスマートなコンテキストを実現し、悪意のある振る舞いを検出することで、的確かつ確実に不正を阻止し、発生次第対処することができます。
顧客とビジネスを保護
不正行為の及ぼす影響は甚大で、顧客、自社の評判と収益の損失につながります。不正行為を事前に防ぐことで、安全な体験を顧客に提供し、コストを節約し、プロセスのリスクを軽減することができます。
顧客満足を維持
顧客が貴社と自信を持ってやり取りできるよう支援することで顧客体験を全体的に向上。
損失から自社を保護
不正行為による直接的な損失と、攻撃に対処するためのダウンストリームコストの発生を防ぎ、最小限に抑止。
セキュリティ体制を強化
詐欺、金融犯罪、運用の各チームを結集して総合的な対策センターを構築し、詐欺、セキュリティ攻撃やデジタル犯罪に対峙。
You're in Good Company
Enabling real-time fraud detection with an event-centric architecture
"We look at events as running our business. Business people within our organization want to be able to react to events—and oftentimes it's a combination of events."
– Chris D’Agostino, VP of Streaming Data Engineering
Stream Data in Real Time to Foil Fraudsters
Our event-driven architecture delivers a continuous flow of data, chosen by you, aggregated from wherever it resides in your enterprise, and streamed to whichever application or team needs to see it. We provide real-time context to each interaction, each transaction, each anomaly, so your fraud detection systems have the intelligence to get ahead of compromises.
Aggregate all your data to build timely context around each customer profile
Build your customer’s identity by incorporating transactional and contextual data, from structured or unstructured sources, in real-time or from the past for a full view of behavior patterns with pre-built connectors, APIs and seamless data mobility across all your environments.
Automate the detection of potential fraud
Use native stateful and stateless stream processing and training and apply AI/ML models, powered with real-time data streams to keep fraud threat scores and risk models up-to-date for every customer with every single interaction.
Secure and audit data with confidence to avoid steep fines and penalties
Tag and secure your data to ensure compliance with end-to-end governance. Access the record of events with a full audit log to uncover suspicious activity such as money laundering, claims exaggeration and others to support fraud investigations and ward off scams.
Connect teams for shared insights with a consistent view of all your data
Facilitate a well-orchestrated response by sharing data with the right teams,in the right format, at the right time with a decoupled architecture, an immutable sequence of data records and an infinite storage subsystem.