Sentinel

Detección y prevención del fraude

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The SaaS functions as a extensive, AI-powered decision-making system that automates and unifies fraud detection, security investigations, and compliance processes in real time. Its main features include autonomous risk assessment, continuous learning from new threat data, human-in-the-loop controls for oversight, automated investigation workflows, and audit trail management, addressing challenges like alert fatigue, manual and siloed operations, slow rule updates, and model degradation. Designed for security and fraud operations teams within financial services, fintech, and other sectors handling large volumes of transactions, it helps reduce response times, improve detection accuracy, and enable proactive threat mitigation by integrating threat intelligence, correlation, attack mapping, and adaptive decisioning into a single end-to-end platform.

Sentinel se puede encontrar en Fraud Detection & Prevention categorías.

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Capturas de pantalla

Detalles

Características principales de Sentinel

• Human oversight
  Humans can review and approve decisions at key points to ensure safety.
• IOC correlation
  It links indicators of compromise to detect threats more easily.
• Unified platform
  All security and fraud tools work together in one easy-to-use system.
• End-to-end process
  The SaaS handles everything from decision to investigation all in one place.
• Live investigation
  Investigations happen automatically and run in real-time.
• Continuous learning
  The system learns from new data and improves over time.
• Threat intelligence
  It gathers information about threats to better understand risks.
• Compliance automation
  It automatically manages audit trails to help with compliance.
• Reduced alert fatigue
  The system handles most alerts automatically, so analysts can focus on important work.
• Active risk decisioning
  The system makes split-second decisions and updates itself regularly.
• Attack-technique mapping
  It maps out attack methods to understand and prevent attacks.
• Autonomous investigation
  It automatically launches investigations when high-risk activities are detected.
• Siloed tooling eliminated
  All tools and teams work together in one platform, sharing information seamlessly.
• Real-time risk decisioning
  The SaaS scores every transaction in milliseconds to quickly identify risks.
• Classify and control alerts
  Alerts are sorted, agents are assigned, and approvals are needed before actions are taken.
• Agentic risk and security operations
  The SaaS uses autonomous agents to manage risks and security tasks.

Insignias

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Tecnologías utilizadas

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