Powering Insurance with Confidential AI
Accelerate AI in insurance by unlocking value from sensitive customer data with verifiable security and privacy.
The most valuable data is the most sensitive data
Common obstacles are slowing down your AI project timelines and impacting their effectiveness.
Delayed data access
Data is often scattered across multiple silos, leading to months-long delays in gaining access and making it exceedingly difficult to operationalize data effectively.
Navigating regulatory hurdles
The rapidly changing and increasingly complex regulatory environment makes achieving compliance feel like an impossible and constantly shifting target.
Ineffective masking and anonymization
Legacy data protection processes not only degrade data quality, rendering insights useless, but also are completely insecure as new AI techniques can re-identify anonymized.
Used by the world's best
Insurance
companies
Explore Our Use-Cases in
Power Secure Analytics Across Data Silos
Harness the power of your sensitive insurance data. You can now use customer PII, customer PHI, policy details, claim histories, risk assessments, and premiums data to gain transformative insights and foster innovation.
Accelerate Data Access
Streamlined, compliant data use
Centralize and analyze fragmented data quickly to enhance decision-making. Data within Opaque is always encrypted, including in use, ensuring strict compliance with HIPAA, GDPR, and CCPA.
Prevent Double Dipping Fraud
Share, don't show
Detect fraud by pooling data across carriers. Use Opaque to easily collaborate with internal and external stakeholders while maintaining ownership over your data, unlocking new use cases like detecting double dipping across multiple carriers. You can now harness data that was once too risky to use or challenging to centralize.
Medical Underwriting
Maximize the value of your data
Build models without wasting time on data access issues and diminishing data value with ineffective anonymization. Use Opaque to share data quickly, verifying permissible uses and protecting sensitive information, without spending months crafting data-sharing agreements.
Enable Dynamic Training on Insurance Data
Elevate your AI capabilities by securely training on sensitive customer data. Continuously refine your models with the latest data to deliver cutting-edge predictions and insights, all while adhering to the highest standards of privacy and regulatory compliance.
Targeted Offers
Always encrypted
Unlock value from sensitive data to deliver more for your clients. Using Opaque, you can securely train and update AI models with encrypted data, ensuring that data privacy is maintained and compliance with regulations is achieved.
Dynamic Pricing Prediction
Maintain cutting edge models
Improve decision-making by continuously retraining your proprietary models on new data while maintaining the highest standards of data privacy and security.
Advanced Fraud Detection
Stay compliant while building advanced AI
No one can access underlying data during training – not you, not Opaque, not the cloud provider – providing assurance to your customers that their sensitive data is kept secure.
Leverage LLMs With Privacy
Overcome the challenge of balancing AI capabilities with privacy requirements. Address data privacy concerns to unlock the full potential of LLMs.
Faster Customer Support
Bridge privacy and LLM potential
Implement a privacy-preserving AI solution that ensures your LLMs operate securely without compromising sensitive data. Opaque Gateway acts as a privacy layer, allowing you to seamlessly sanitize LLM prompts and hide data from external parties and providers.
More Efficient Insurance Advisors
Augment knowledge management with access controls
Leverage secure, LLM-enabled multi-agent systems to navigate interconnected data with built-in access controls. With Opaque Gateway, LLM applications are enhanced with verifiable privacy and data sovereignty, supporting a wide range of use cases involving sensitive data.
Expedited Compliance
Protect sensitive data with audit trails
Ensure sensitive data remains protected, while still benefiting from the powerful capabilities of LLMs. Use Opaque to securely mediate data between LLMs and applications, sanitize sensitive information, enforce role-based access control, and provide an audit trail for all data interactions.
Why Opaque
Opaque is the confidential AI platform unlocking sensitive data to securely accelerate AI into production.
Created by world-renowned researchers at the Berkeley RISELab, Opaque’s user-friendly platform empowers organizations to run cloud-scale, general purpose AI workloads on encrypted data.
Opaque supports popular languages and frameworks for AI, including Python and Spark, and enables governed data sharing with cryptographic verification of privacy and sovereignty. Opaque customers deploy high-performance AI faster and eliminate the tradeoff between innovation and security.
All Current Data Masking Techniques for Protecting Sensitive Data Are Now Obsolete
Insights derived from anonymized data are often limited and less accurate. Moreover, legacy data protection methods, such as anonymisation, masking, and tokenization, are even more vulnerable in the age of advanced AI. Anonymized data can often be re-identified with increasing accuracy due to sophisticated AI algorithms.
Opaque Provides a Turnkey Enterprise Solution for Confidential Data and Secure AI
Opaque’s Confidential AI Platform goes beyond outdated techniques by keeping data encrypted throughout its entire lifecycle, including during processing, ensuring end-to-end security.
Opaque enables you to centralize and analyze sensitive data from fragmented sources to accelerate your AI initiatives while maintaining rigorous compliance with regulations like GDPR and CCPA through cryptographic verification.
Transform Your Business with Confidential AI
Harness sensitive data across silos while ensuring uncompromising privacy and regulatory compliance. Break through security barriers to accelerate your AI innovation. Seize the opportunity for secure, powerful analytics today.