Confirmation Bias in Adversarial Reasoning: Insights from the ASCEND Framework for Adaptive Cyber Defense

Abstract Cyberspace represents a dynamic cognitive battlespace where adversaries continually adapt to evade defenses. Traditional cybersecurity approaches emphasize technological countermeasures while overlooking the cognitive and behavioral processes shaping attacker decision-making. The Adaptive Security through Cognitive Exploitation for Defense (ASCEND) project advances a cognitive cybersecurity framework that identifies and strategically leverages cognitive vulnerabilities (CogVulns)—psychological biases that influence adversarial behavior—to enhance defensive effectiveness. ASCEND integrates behavioral science and cybersecurity research through two experimental paradigms. A Multivariate, Multi-Country Heuristic (MCH) study assessed CogVulns, personality, and risk-taking across 2,121 participants from 91 countries. Complementary Capture-the-Flag (CTF) experiments simulated adversarial decision-making in realistic environments using Cognitive Vulnerability Triggers engineered to engage targeted biases. Behavioral, psychometric, and cyber-interaction data were jointly analyzed to examine cognitive and individual-difference factors affecting attacker susceptibility. Psychometric analyses revealed variability in cognitive vulnerability profiles linked to individual traits. In CTF experiments, targeted triggers consistently had a negative impact on adversarial decisions. Identified cyber data surrogates serve as CogVuln Sensors, providing real-time proxies to infer susceptibility to CogVulns. ASCEND demonstrates the feasibility of embedding cognitive principles into cyber defense. By exploiting predictable human biases, cognitive defenses can actively shape adversarial behavior. These findings mark a step toward adaptive, psychologically informed security architectures that transform human vulnerabilities from liabilities into strategic assets.

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Publication Details

Journal
Computational Brain & Behavior
Published
2026-09-15
DOI
https://doi.org/10.1007/s42113-026-00307-6
Primary Topic
Information and Cyber Security
Type
article
Field-Weighted Citation Impact
0.00

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article

Confirmation Bias in Adversarial Reasoning: Insights from the ASCEND Framework for Adaptive Cyber Defense

Paul Burkander, Grit Denker, Richard D. Roberts, Brodie Mather et al.
Computational Brain & Behavior
Information and Cyber Security
article

Confirmation Bias in Adversarial Reasoning: Insights from the ASCEND Framework for Adaptive Cyber Defense

Paul Burkander, Grit Denker, Richard D. Roberts, Brodie Mather, Michael McAnally, Nathan Bunting, Alex Fafard, Virginia Vaughan, Joshua Patterson, Laura Tinnel, Joshua Lawson, Gerald Matthews
article en

Abstract

Abstract Cyberspace represents a dynamic cognitive battlespace where adversaries continually adapt to evade defenses. Traditional cybersecurity approaches emphasize technological countermeasures while overlooking the cognitive and behavioral processes shaping attacker decision-making. The Adaptive Security through Cognitive Exploitation for Defense (ASCEND) project advances a cognitive cybersecurity framework that identifies and strategically leverages cognitive vulnerabilities (CogVulns)—psychological biases that influence adversarial behavior—to enhance defensive effectiveness. ASCEND integrates behavioral science and cybersecurity research through two experimental paradigms. A Multivariate, Multi-Country Heuristic (MCH) study assessed CogVulns, personality, and risk-taking across 2,121 participants from 91 countries. Complementary Capture-the-Flag (CTF) experiments simulated adversarial decision-making in realistic environments using Cognitive Vulnerability Triggers engineered to engage targeted biases. Behavioral, psychometric, and cyber-interaction data were jointly analyzed to examine cognitive and individual-difference factors affecting attacker susceptibility. Psychometric analyses revealed variability in cognitive vulnerability profiles linked to individual traits. In CTF experiments, targeted triggers consistently had a negative impact on adversarial decisions. Identified cyber data surrogates serve as CogVuln Sensors, providing real-time proxies to infer susceptibility to CogVulns. ASCEND demonstrates the feasibility of embedding cognitive principles into cyber defense. By exploiting predictable human biases, cognitive defenses can actively shape adversarial behavior. These findings mark a step toward adaptive, psychologically informed security architectures that transform human vulnerabilities from liabilities into strategic assets.

Computational Brain & Behavior
SRI International (US), Florida Institute for Human and Machine Cognition (US), George Mason University (US), Center for Assessment (US), Advanced Technologies Group (United States) (US)
Office of the Director of National Intelligence, Intelligence Advanced Research Projects Activity
Peace, Justice and strong institutions
Openalex Percentile: Top 4%
Information and Cyber Security
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