The Age of Integrity

The essay argues that data integrity—ensuring data is accurate and untampered across its lifecycle—is becoming the most critical security challenge, particularly for AI systems vulnerable to adversarial inputs, data poisoning, and prompt injection. It highlights existing but limited integrity measures, frames integrity alongside confidentiality and availability, and calls for research into verifiable sensors, auditable outputs, and recovery from integrity failures, proposing a broader push toward "integrous" system and network design.