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David Maher, CTO of Intertrust – Interview Series
- David Maher serves as Intertrust’s Executive Vice President and Chief Technology Officer. Transparency is the most important quality that will help address the growing concerns about AI. Metadata authentication helps increase our confidence that assurances about an AI model or other mechanism are reliable. AI safety and security will be critical in the widescale deployment of IoT systems. We research and design technology that can provide the kind of trust management infrastructure that is required for IoT systems that include AI components. Our PKI was designed specifically for trust management for systems that include the governance of devices and digital content.
- Intertrust developed innovations enabling distributed operating systems to secure and govern data and computations over open networks, resulting in a foundational patent on trusted distributed computing.
- Intertrust has evolved into a product-focused company offering trusted computing services that unify device and data operations, particularly for IoT and AI. Its markets include media distribution, device identity/authentication, digital energy management, analytics, and cloud storage security.
- Transparency includes features that help both consumers and technologists understand what AI mechanisms are part of systems we interact with, what kind of pedigree they have: how an AI model is trained, what guardrails exist, what policies were applied in the model development, and what other assurances exist for a given mechanism’s safety and security.
- Red teaming is a general approach to addressing these and other risks during the development and pre-release of models. It is a systems approach to risk management that can and should include the entire life cycle of a system from initial development to field deployment, covering the entire development supply chain.
- Understand how the company is going to use the model and what kinds of liabilities it may have in deployment, then understand the pedigrees of the AI mechanisms to be deployed, including assertions on a model card, results of red-team trials, differential analysis on the company’s specific use, what has been formally evaluated, and what have been other people’s experience.
- We want to use AI to automate systems that optimize critical infrastructure processes. AI safety and security will be critical in the widescale deployment of such systems. That infrastructure will also need to make it efficient to verify claims and assertions by users of systems that include AI mechanisms and by elements within automated systems that make decisions based on outputs from AI models and optimizers.
- Our PKI was designed specifically for trust management for systems that include the governance of devices and digital content. We have deployed billions of cryptographic keys and certificates that assure compliance. Our current research addresses the scale and assurances that massive industrial automation and critical worldwide infrastructure require, including best practices for “zero-trust” deployments and device and data authentication that can accommodate trillions of sensors and event generators.
- David Maher joined NIST’s AI initiatives to advocate for important standards and best practices in developing trust management systems that include AI mechanisms. NIST has tremendous experience and success in developing standards and best practices in secure systems.
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