Forensio

Plateformes de recherche juridique alimentées par l'IA

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This platform is an on-premise, policy-driven artificial intelligence decisioning system designed to improve financial crime compliance by automating alert investigation, evidence gathering, and regulatory reporting within secure, air-gapped environments. Its main features include deterministic decision engines that produce explainable, auditable outcomes linked directly to evidence and policies, a extensive evidence graph integrating screening and transaction monitoring data, and strict governance controls such as maker-checker processes and sealed decision records, all while ensuring zero data egress and full data sovereignty. It addresses challenges faced by financial institutions in reducing false positives, ensuring regulatory adherence, and maintaining data privacy, making it ideal for compliance officers, AML teams, risk managers, and regulators seeking transparent, defensible, and efficient anti-money laundering and fraud.

Forensio se trouve dans AI-powered Legal Research Platforms catégories.

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Détails

Principales caractéristiques de Forensio

• No Data Egress
  Data stays inside your environment; nothing is sent outside to other servers or clouds.
• No Black-box AI
  The AI proposes actions, but the engine makes the final decision, making it transparent.
• Open Data Model
  Uses an open standard for data about entities, transactions, and decisions.
• Open Frameworks
  Built from open, industry-standard components that you own and control.
• Multiple Engines
  Two integrated engines handle screening and transaction monitoring together.
• Network Analysis
  The SaaS analyzes all entities involved in an alert to find hidden links or connections.
• Unified Platform
  It provides a single view for different roles like investigators, compliance, and management.
• Deterministic Engine
  It uses clear rules that everyone can read, so decisions are consistent and understandable.
• Sealed Audit Records
  All decisions are stored in a secure, tamper-proof record for regulators to review.
• Explainable Decisions
  Decisions include reasons, evidence, and policy references that are easy to understand.
• Maker-Checker Process
  A human always reviews and approves decisions before they are finalized.
• Policy-bound Platform
  The SaaS runs inside your environment, following your rules and policies for decisions.
• Single Evidence Graph
  All related information about a case is connected in one visual graph for easy understanding.
• Regulator-Ready Outputs
  Can generate reports and documentation needed for regulatory compliance.
• Self-hosted Architecture
  Designed to run fully inside your organization on your own infrastructure.
• Evidence-backed Decisions
  Every decision is based on evidence and can be checked and explained clearly.
• On-premise and Air-Gapped
  It is installed locally and keeps all data inside your organization with no data leaving your system.
• Open Source and Open Standards
  Uses open technologies like DMN and BPMN for decision logic and workflows.

Insignes

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Technologies utilisées

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