Why Crisis Resilience Depends on Epistemic Security

2026-02-12 · Source: Tech Policy Press · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cybersecurity & Data Privacy, Emerging Technologies & Innovation · Depth: Intermediate, medium

Summary

A report by Demos and the Center for Emerging Technology and Security (CETaS) introduces the concept of "epistemic security" to address growing vulnerabilities in information systems crucial for crisis resilience. The report, titled "Epistemic Security for Crisis Resilience," defines epistemic security as the protection of information ecosystems, supply chains, and infrastructure. Experts convened by Demos and CETaS developed four hypothetical crisis scenarios, including a financial system collapse triggered by deepfakes and disinformation, an AI-driven legal system breakdown, and a foreign tech superpower weaponizing digital infrastructure. These scenarios, grounded in real-world trends like generative AI advancements and declining trust, highlight how epistemic failures can accelerate crises. The analysis identified interconnected risks such as mass digitization, platform dependence, and foreign information operations, concluding that resilience requires sustained, coordinated action across multiple fronts.

Key takeaway

For CTOs and VPs of Engineering assessing organizational resilience, recognize that epistemic security is now a core determinant of crisis response. Your teams should integrate information ecosystem protection into cybersecurity and infrastructure planning, focusing on areas like AI risk management and data provenance. Proactively address these vulnerabilities to prevent future crises from spiraling due to compromised information environments.

Key insights

Protecting information ecosystems is crucial for national crisis resilience in an era of advanced AI and digital dependence.

Principles

• Information functions as critical infrastructure.
• Epistemic failures accelerate and spiral crises.
• No single fix addresses epistemic insecurity.

Method

Experts used systems-mapping methodologies to analyze hypothetical crisis scenarios, exploring how epistemic failures trigger or escalate crises and identifying effective intervention points.

In practice

• Prioritize local news ecosystem revitalization.
• Implement digital signatures for content provenance.
• Update civil contingency plans for epistemic risks.

Topics

• Epistemic Security
• Crisis Resilience
• Generative AI Risks
• Disinformation Campaigns
• Digital Infrastructure Security

Best for: CTO, VP of Engineering/Data, Director of AI/ML, Policy Maker, AI Ethicist, Research Scientist

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Editorial summary, takeaway, and curation by AIssential. Original article published by Tech Policy Press.