Virtual Library

Our virtual library is an online repository of all of the reports, papers, and briefings that IST has produced, as well as works that have influenced our thinking.

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Reports

Mapping Threat Actor Behavior in the Ransomware Payment Ecosystem: A Mini-Pilot

Zoë Brammer

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Reports

May 2023 Progress Report: Ransomware Task Force: Gaining Ground

Ransomware Task Force

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Reports

Castles Built on Sand: Towards Securing the Open-Source Software Ecosystem

Zoë Brammer, Silas Cutler, Marc Rogers, Megan Stifel

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Reports

Cyber Incident Reporting Framework: Global Edition

Cyber Threat Alliance, Institute for Security and Technology

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Reports

AI-NC3 Integration in an Adversarial Context: Strategic Stability Risks and Confidence Building Measures

Alexa Wehsener, Andrew W. Reddie, Leah Walker, Philip Reiner

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Op-ed

The Nuclear Risk Reduction Approach: A Useful Path Forward for Crisis Mitigation

Sylvia Mishra

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Reports

Nuclear Crisis Communications: Mapping Risk Reduction Implementation Pathways

Sylvia Mishra

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We also welcome additional suggestions from readers, and will consider adding further resources as so much of our work has come through crowd-sourced collaboration already. If, for any chance you are an author whose work is listed here and you do not wish it to be listed in our repository, please, let us know.

SUBMIT CONTENT

AI and Human Decision Making: AI and the Battlefield

Institute for Security and Technology, Center for Global Security Research

SUMMARY

As the 21st-century geopolitical balance shifts in uncertain ways, there is an increasing eagerness to deploy AI technologies into both the physical and digital battlefields to gain both tactical and strategic advantage over adversaries. However, the nature of increasingly powerful and unpredictable AI demands a measured and balanced approach to deploying these tools before the limitations, risks, and vulnerabilities are fully understood and addressed. Indeed, these technologies may not currently be “ready for primetime”, on a number of levels. We begin this discussion – meant to be a series of posts on this domain of issues – focused on the following. This initial paper is based off of numerous small-group workshops and ongoing engagement with the AI research community in the San Francisco Bay Area. This initial paper is based off numerous small-group workshops and ongoing engagement with the AI research community in the San Francisco Bay Area: Current AI capabilities remain limited to narrow, well-defined domains. ​ The “black box” nature of state-of-the-art AI/ML algorithms gives limited insight as to their decision-making processes – and conclusions Deploying AI’s could preempt ethical considerations that have yet to be fully understood, identified, or agreed upon, and is in the potential context of an industry-driven race to the bottom

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