View source for Fingerprint and Iris database in Afghanistan

{{Deployments
|Information Certainty=Speculative
|CiteRef=humanrightswatchNewEvidenceThat2022, klippensteinTalibanHaveSeized2021, guoThisRealStory2021, gormanHowBiometricsHelped2011
|Deployment Status=Ongoing
|Deployment Type=Fingerprint Recognition, Iris Recognition
|Has event={{HasEvent|Start|2004-01-01|Documented|humanrightswatchNewEvidenceThat2022|The article describes that a database of biometric information was being worked on in 2004}}
|Country=Afghanistan
|managed by=The Taliban
|used by=The Taliban
|Involved Entities=Leidos, US Military, Grand Technology Resources, Northrop Grumman, Netlinks
|Datasets Used=Automated Biometrics Identification System (ABIS), Afghan Personnel and Pay System (APPS), e-Tazkira, Afghan Automated Biometric Identification System (AABIS)
|Software Deployed=Unknown Products 0103
|Summary=The US military engaged in building a database of Afghan citizens who were working with the US military in any way which involved collecting their fingerprints and iris data, possibly along with data for facial recognition. The articles mention that the technology could be connected to four databases: the Automated Biometrics Identification System (ABIS), the Afghan Automated Biometrics Identification System (AABIS), the Afghan Personnel and Pay System (APPS) and the e-Tazkira. This biometric information is now in the hands of the Taliban and could be used by them to target possible opponents.
}}
<blockquote> As the Taliban swept through Afghanistan in mid-August, declaring the end of two decades of war, reports quickly circulated that they had also captured US military biometric devices used to collect data such as iris scans, fingerprints, and facial images. Some feared that the machines, known as HIIDE, could be used to help identify Afghans who had supported coalition forces. [[CiteRef::guoThisRealStory2021]] </blockquote>

<blockquote> established in late 2009 to keep criminal suspects and Taliban members from infiltrating the army and police force, the Afghan Automated Biometric Identification System (AABIS), run by the Afghan government, holds the biometrics (iris scan, fingerprints, and photograph) of former Afghan military and police members. [[CiteRef::humanrightswatchNewEvidenceThat2022]] </blockquote>

<blockquote> In 2010, the Afghan government began a campaign led by the Ministry of Communication and Information Technology to collect Afghans’ biometric and other personal data and issue electronic identity cards. The digital identity system is known as e-Tazkira. The system holds at a minimum a person’s name, father’s and grandfather’s name, national identity number, physical description, place of origin, place and date of birth, sex, marital status, religion, tribal links, ethnicity, first language, profession, level of education, level of literacy, and biometrics (iris scan, fingerprints, and photograph). 
[[CiteRef::humanrightswatchNewEvidenceThat2022]] </blockquote>

<blockquote>
In 2004, the US Department of Defense created the Automated Biometric Identification System (ABIS), which serves as a central repository for personal data, including biometrics (iris scan, fingerprints, and photograph) collected by US military officers and other department staff of people in Afghanistan and Iraq who might pose security risks. 
Among other companies involved, the Defense Department contracted Northrop Grumman, a US-based company, to build and manage the system, but the contract was taken over by Leidos, a US-based company, in 2015.
[[CiteRef::humanrightswatchNewEvidenceThat2022]] </blockquote>

<blockquote> a new integrated human resources and payroll system, APPS, that holds personal data on members of the army and police. The US Defense Department paid for the creation of APPS in 2016 and contracted Netlinks, an Afghan IT-company, to manage the system and integrate AABIS biometric data (iris scan, fingerprints, and photograph). 
[[CiteRef::humanrightswatchNewEvidenceThat2022]] </blockquote>
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* [[Cited references::Security_Vision_Wiki_References#_SCITEbe5763a2696f1cd64f7b56dfc4b4b80c]]
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