Platform Approach to AI Privacy
Elevate your AI with built-in privacy across the AI lifecycle from design to deployment.
Elevate your AI with built-in privacy across the AI lifecycle from design to deployment.
From data acquisition to AI operations to generative AI, TripleBlind streamlines your AI journey. Discover our holistic approach to model training, validation, and deployment.
Streamline your analytics by effortlessly merging data from diverse sources, drastically minimizing the manual labor of data integration and acceleration of information retrieval.
(Including redaction, unstructured data support, tabular pre-processing, one-hot encoding, SQL, and Python)
Tailor and refine diverse datasets effortlessly. Drive efficiency and accuracy in your AI workflows by ensuring your data is consistently harmonized, clean, and optimized for advanced processing.
Enable blind joins for virtual data aggregation without data movement. Accelerate your workflows and sidestep expensive compliance bottlenecks, ensuring your data remains pristine and uncompromised in quality.
Delve deep into datasets while preserving utmost privacy. Unlock critical insights and discern intricate data patterns, all while shielding details and mitigating the risks typically associated with data-driven initiatives.
Run privacy-preserving statistical analysis on distributed datasets. Data owners maintain control of exactly how their data can be analyzed and what data is allowed to be revealed during analysis.
Revolutionize model training and generative AI fine-tuning by harnessing the power of multiple datasets efficiently, without compromising underlying data in training sets. Elevate decision-making with robust models, ensuring both precision and unparalleled data privacy.
Deploy an unmatched shield against model IP duplication and theft. Preserve innovation and protect against IP infringement, ensuring that proprietary algorithms and methodologies remain exclusively yours.
Seamlessly retrieve and download models you own from TripleBlind at any time. Retain unwavering control and ownership of your intellectual property, ensuring freedom from vendor constraints & lock-in.
Take full control over your AI’s access and usage. With our enhanced DRM, safeguard your algorithms, maintain your competitive edge, and explore monetization avenues –– all while keeping a tight rein on your intellectual property.
Remotely harness models for inference without transferring them or accessing data directly. Model owners deploy with confidence, minimizing risks of breaches and unauthorized exposure, all while adhering to rigorous privacy standards.
Engage with AI through universally recognized operators and data types. Bring your own model with the assurance that it will work with TripleBlind’s system. With comprehensive support for ONNX and PMML, users enjoy enhanced privacy without the learning curve of new tools, streamlining the integration process.
Seamlessly vet models with our network compatibility tester, ensuring full alignment with TripleBlind’s SMPC parameters. Enjoy swift validation for new models, complemented by precise debugging guidelines for effortless troubleshooting and integration.
Run models continuously, returning inference results at fixed intervals. Enable users to receive immediate insights and predictions as new data arrives, paving the way for nimble decision-making and rapid responses to dynamic scenarios.
Today, use of LLMs relies on contractual guarantees to ensure your data won’t be commingled with the weights of the LLMs, nor do LLM services provide contextual privacy relevant to your business. We’re extending our patented Blinding technologies to solve these issues and more with enterprise capabilities like auditing, monitoring, redaction and other governance features.
AI Privacy for Healthcare
Elevate patient trust and enhance medical innovations, all while safeguarding sensitive health data.
Privacy & Security for Financial Services
Drive financial innovations and bolster client confidence while ensuring the utmost protection of sensitive financial data.
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