#7085 Cryptographic audit trails for AI workflow compliance Issue created by jagmarques Flyte orchestrates AI workflows with data, models, and compute. In regulated environments, teams need more than execution logs - they need provable, tamper-proof records of what ran, with what data, and what the outputs were. asqav adds cryptographic signatures to workflow steps. Each task execution gets a signed record - useful for proving to auditors that a model training run or data processing step happened exactly as reported. Could integrate as a Flyte plugin that wraps task execution with signed audit records, especially useful for ML pipelines in finance and healthcare. flyteorg/flyte