Shared defence.
Zero shared data.

Today, organisations fight fraud and cyber threats in isolation, while attackers coordinate in real time.

Attacks stopped in one organisation often reappear in others, spreading across the ecosystem.

The opportunity: Can we build a shared defence layer that protects all organisations, without sharing sensitive data?

Regulations: Data privacy laws restrict organisations from sharing sensitive data externally, and sometimes internally.

Centralisation: Consolidating data creates high-value targets. Privacy-enhancing technologies like homomorphic encryption are computationally expensive at scale.

Decentralisation: Organisations defend against threats in isolation, without benefiting from any collective intelligence.

Delivers global, network-wide intelligence from decentralised data, the best of both worlds.

Keeps data securely within each organisation. Raw data always remains on-premises.

Only model updates from each organisation are shared with a central layer to enhance the local models.

Compliant with internationally recognised data protection regulations such as GDPR.

Industry Agnostic: Works across all sectors, banks, ecommerce, fintech, telco, manufacturing, and more.

Zero-Day Threats: Day-one protection against unseen threats using network-wide attack intelligence.

Cold Start Problem: Protects early-stage organisations with limited historical data.

Eliminates Blind Spots: Improves detection of known threats that isolated local datasets often miss.

Cost Reduction: Leverages existing organisational infrastructure, eliminating the need for massive centralised systems.

Regulatory Oversight: Enables network-wide risk visibility for regulators within existing data compliance frameworks.