Attestation vs. integrity in a zero-trust world

Attestation vs. integrity in a zero-trust world A new frontier in data protection Demystifying the core concepts How attestation and integrity reinforce each other From trusting to knowing Red Hat Product Security About the authors Lukas Vrabec Yash Mankad More like this Red Hat to acquire Chatterbox Labs: Frequently Asked Questions From incident responder to security steward: My journey to understanding Red Hat's open approach to vulnerability management What Is Product Security? | Compiler Technically Speaking | Security for the AI supply chain Keep exploring Browse by channel Automation Artificial intelligence Open hybrid cloud Security Edge computing Infrastructure Applications Virtualization Share The complex risks facing modern IT environments make IT security a strategic imperative, not a back-end detail. Furthering this is cloud computing, which serves as the foundation of the AI economy, meaning that enterprises and nations require greater control, transparency, and assurance over data location and protection. Trust has become not just a technical question, but a matter of national policy, corporate strategy, and even societal resilience. At the same time, the explosion of AI and machine learning (ML) workloads is reshaping infrastructure requirements. But these shifts pose a complex question—if your most valuable models and datasets are in the cloud, how do you assess their security posture? Here lies the central dilemma. The very abstraction that makes the cloud powerful also makes it opaque. You don’t control the hardware, the hypervisor, or the low-level firmware that your workloads depend on. How do you trust something you cannot see or control? The old paradigm of “trust but verify” no longer works in this modern environment. Instead, the principle of zero trust, “assume nothing, verify everything,” has become a core tenet of modern security strategy. This is where the next generation of security concepts comes into play. Confidential computing, through hardware-based trusted execution environments (TEEs), enables organizations to protect their data not only at rest and in transit, but also in use.