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Antivirus software reduces the risk of malware infection.

the verdict
CONTESTED PARTIAL
Recorded sources
4 sources for · 3 against

Counts group repeated records of the same source within each side. They do not measure evidence strength or source independence.

Is it true that antivirus software reduces the risk of malware infection?

Partly. Evidence is mixed and only partial: one security Q&A reports high detection rates for known viruses, and NCSC guidance recommends antivirus on Windows, while a survey study finds commercial AV users self-report more security events and evasion research says most bypass techniques still work. No source settles the general claim at full strength.

Verdict: CONTESTED PARTIAL · 4 sources for, 3 against · Last checked

The private library was unavailable for some searches in this check. Missing library results are not evidence against the claim.

Evidence for · 4
Is anti-malware software effective?
2011
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Is anti-malware software effective?. (2011). skeptics.stackexchange.com. https://skeptics.stackexchange.com/questions/2167/is-anti-malware-software-effective

Evidence against · 3
The Case against Commercial Antivirus Software: Risk Homeostasis and Information Problems in Cybersecurity
2020
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Jardine, E. (2020). The Case against Commercial Antivirus Software: Risk Homeostasis and Information Problems in Cybersecurity. doi.org. https://doi.org/10.1111/risa.13534

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More for · 3
Modern Malware Evasion and Bypass Strategies Against Contemporary Antivirus Software
2025
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Mehmood, R., Ahmed, W., & Riaz, R. (2025). Modern Malware Evasion and Bypass Strategies Against Contemporary  Antivirus Software. doi.org. https://doi.org/10.54692/ijeci.2024.0802196

Device security guidance | Policies and settings | Antivirus and other security software | National Cyber Security Centreicons/chevron/16px/black
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Device security guidance | Policies and settings | Antivirus and other security software | National Cyber Security Centreicons/chevron/16px/black. (n.d.). ncsc.gov.uk. https://www.ncsc.gov.uk/collection/device-security-guidance/policies-and-settings/antivirus-and-other-security-software

Applying fractional calculus to malware spread: A fractal-based approach to threat analysis.
2025
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N, R., MB, R., A, B., T, K., U, I., & A, S. (2025). Applying fractional calculus to malware spread: A fractal-based approach to threat analysis.. doi.org. https://doi.org/10.1371/journal.pone.0313914

More against · 2
Antivirus evasion techniques in modern malware
2025
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Barchuk, B. & Volkov, K. (2025). Antivirus evasion techniques in modern malware. doi.org. https://doi.org/10.22541/au.175312432.26548821/v1

Malware Detection in Files and URL’s using Machine Learning
2024
Get citation
Malware Detection in Files and URL’s using Machine Learning. (2024). doi.org. https://doi.org/10.32628/cseit228618

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