Machine Identities and Invisible Risk

Tim Clark

doi:10.1093/itnow/bwag064

January 1, 2026ITNOW

Machine Identities and Invisible Risk

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Key Points

The aim is to examine the prevalence and impact of unauthorized machine logins in organizations.
Discusses the frequency of machine logins in organizations.
Analyzes potential risks associated with unauthorized machine access.
Explores measures to detect and mitigate fraudulent machine identities.
Identifies significant risks from unknown machine logins, affecting hundreds to thousands of unsuspecting users.
Highlights the need for improved identity management and authentication protocols to secure systems.

Implication

Explores how undetected malicious machines compromise cybersecurity, indicating a significant risk to organizations.

Abstract

Who logs in first thing at your organisation? A few hundred people? Maybe more? What if hundreds, or even thousands more were logging in, and you didn't know? Tim Clark explores the issue of malicious machines.

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Cite This Study

Tim Clark (2026) studied this question.

synapsesocial.com/papers/6a1a80550307b785094325da https://doi.org/10.1093/itnow/bwag064

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Machine Identities and Invisible Risk

Key Points

Implication

Abstract

Discussion

Cite This Study

Machine Identities and Invisible Risk

Key Points

Implication

Abstract

Discussion

Cite This Study

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