PGBC for Finance

OmniIndex allows financial institutions to analyze their most sensitive customer data while it remains fully encrypted. This is made possible by Fully Homomorphic Encryption (FHE), a patented technology that enables computations on encrypted data without ever decrypting it. As a result, firms can gain valuable, real-time insights for things like fraud detection and personalized services, all while ensuring that confidential information is never exposed to third parties, including cloud providers.

In the face of stringent data regulations like GDPR, OmniIndex provides a robust solution for compliance. By utilizing a Web3 data platform with blockchain storage, data becomes immutable and tamper-proof. This decentralized approach, combined with zero-trust access controls, ensures that only authorized users can access specific data, preventing both internal and external breaches.

There is also automated compliance and security intelligence built into the platform with AI to provide simple, real-time, monitoring.

OmniIndex’s unique combination of blockchain and FHE technology offers full ransomware inoculation. Because data is immutable once stored on the blockchain, attackers cannot encrypt it with their own keys and hold it for ransom. Furthermore, the decentralized storage model eliminates single points of failure; if one node is compromised, data can be instantly recovered from other nodes in the network, ensuring business continuity and zero data loss.

OmniIndex is designed for simplicity and ease of use. It seamlessly integrates with popular Google Cloud tools like Looker, BigQuery, and Google Workspace, as well as Office 365 and all other leading tools. 

This allows financial services firms to continue using their existing analytics and productivity tools while benefiting from the enhanced security of OmniIndex’s blockchain storage and encrypted analytics.

OmniIndex offers a native Small Language Model (SLM) named Boudica and in-database Machine Learning powered by PostgresML. This allows financial institutions to run sophisticated analytics, such as real-time risk assessments and fraud detection, directly on their encrypted data. 

Since the AI is private and native to the platform, no data is shared externally, ensuring complete privacy and eliminating the risk of data leakage through third-party AI services. This capability also streamlines the analytics pipeline, reduces complexity, and avoids costly data movement, leading to faster and more efficient insights.