Secure your collaborations and valorize your sensitive data

In cybersecurity, banking, financial and insurance sectors data confidentiality is an absolute requirement. However, using this data in a collaborative way is essential to fight fraud, optimize risk management and strengthen compliance.

With Tune Insight, harness the power of collective data without ever exposing sensitive information.

Preserve confidentiality whilst accessing strategic insights

Preserve confidentiality whilst accessing strategic insights

Improve fraud detection and risk management when collaborating across institutions

Improve fraud detection and risk management when collaborating across institutions

Ensure compliance with regulations (GDPR, DORA, Basel III...) without compromising security

Ensure compliance with regulations (GDPR, DORA, Basel III…) without compromising security

They trust us

Use cases : Privacy-Preserving Intelligence

Banking & Finance – Fraud Detection and Anti-Money Laundering

Financial institutions are facing an increase in fraud and cyber attacks making the exchange of information crucial to detect and prevent these threats. However, sharing sensitive data between industry actors is a regulatory and technical challenge.

  • Identify fraudulent transactions faster by cross-referencing interbank scans without data transfer
  • Anti-money laundering (AML): reduce false positives up to 80% by leveraging privacy-preserving collective intelligence
  • Collaborate with other financial institutions to improve money laundering prevention without compromising customer data

Insurance companies – Optimisation of risk management and compliance

Insurers and reinsurers process sensitive and large data to assess risks and personalize offers. However, analyzing this data whilst respecting privacy is a major challenge.

  • Improve risk assessment by accessing consolidated insights without exposing your internal databases
  • Ensure regulatory compliance with data protection compliant analytics processes

Cybersecurity – Threat detection and strengthening collective defence

Cyber attacks are becoming more sophisticated and companies need a collaborative approach to identify new threats in real time. However, the sharing of information between organizations is often limited by confidentiality constraints.

  • Secure search of IOCs: search for indicators of compromise without exposing your request, or offer this confidential service to your customers.
  • Strengthen the detection of emerging threats by cross-referencing inter-organizational analyses
  • Improve collective resilience to cyber attacks by sharing insights while preserving data sovereignty

Testimony

Secure Analysis, Proven Results

“Secure ML-based collective analysis can reduce false positives by up to 80% compared to traditional siloed rule-based methods.”

Aurora
Bank for International Settlements (BIS) Report

Harness the power of collective intelligence