Document Processing. Automatic document processing to extract relevant information and data.

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Natural Language Processing (NLP). Technology that allows computers to understand and analyze human language.

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OCR (Optical Character Recognition).Technology that converts images of text into a digital format.

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Data extraction.Process of gathering and organizing information from documents.

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Data integration.Process of combining different data sources to create a more complete and accurate view.

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Process automation.Use of technology to automate manual tasks and improve efficiency.

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Machine Learning.Artificial intelligence technique that allows machines to learn and improve from experience.

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Robotic Process Automation (RPA).Technology that automates repetitive and high-volume tasks through the use of software robots.

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chatbots.Artificial intelligence applications designed to interact with users through a conversation.

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Document processing in real time.Automatic document processing that allows obtaining results in real time.

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Accessibility.Ability of a document to be accessed and used by people with disabilities.

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Intuitive user interface.Interface that is easy to use and understand for the user.

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Application integration.Process of connecting different applications so that they work together and share information.

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predictive analyticsArtificial intelligence technique that uses algorithms and models to predict future outcomes.

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SmartDocument.Electronic document with intelligent features that allow advanced user interaction and automation.

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Document Automation.Process of creating, editing and sending electronic documents using automated technologies and tools.

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Document management.Systematic and organized process of creating, storing, retrieving and distributing electronic documents.

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Interaction with Documents.Process of interacting with electronic documents using specific technologies and tools.

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OCR (Optical Character Recognition).Technology used to convert scanned images or documents into editable text.

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Document Storage.Process of saving and storing electronic documents in a secure and accessible manner.

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Document Editing.Process of modifying and updating electronic documents.

 

Electronic signature.Process of signing electronic documents using specific technologies and tools.

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Natural Language Processing.Technology used to process and understand natural human language.

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Machine Learning.Technology used for computers to learn from data and perform tasks without being explicitly programmed.

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Process Robotics.Technology used to automate repetitive tasks and improve business efficiency.

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Intelligent Personal Assistant. Technology used to provide personal assistance and solve tasks through conversations with a user.

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Document Analysis.Process of analyzing electronic documents to extract relevant information.

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Smart Contracts.Autonomous electronic contracts that are automatically executed and verified without the need for intermediaries.

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Document Integration.Process of integrating electronic documents into business systems and processes to improve efficiency and productivity.

anonymization.Process by which data is processed in such a way that it is not possible to relate it to the identity of a person or their personal data. Despite these processes, it is possible to perform technical and scientific analyzes on that data set.  For compliance with anonymization standards, the data must be stripped of sufficient elements so that the owner of the data can no longer be identified, and therefore this data must be processed so that it is not possible to identify a person by using all reasonable means to be used by any other person. 

Authentication.Although traditionally, authentication processes were related to the originality of documents, in computing they began to be used to verify the identity of people. In other words, to confirm that an individual is who they say they are. To do this, digital authentication relates each user to one or more variables.

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Usually these variables or factors are classified into three types: by data that people know, such as a password or a PIN. By objects, such as a token, ID card, or SIM card. Or by biometric characteristics of the subjects such as fingerprints.  But there are also authentication systems that go a step further and ask for specific actions. 

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Multifactor Authentication. Generally, single-factor authentication systems are more vulnerable, even more so when they depend on passwords chosen by the users themselves. But at the same time, they are the easiest systems to manage given how easy it is to generate and change passwords within an organization. On the other hand, there are biometric systems that are not without risk and that are impossible to change since they are linked to the corporeality of each subject. Fortunately, there is a trend that takes the best of both using two-factor authentication (2FA) and multi-factor authentication (MFA) mechanisms.

Authorization. It consists of the security process to determine what actions or services can be performed according to the identity of the users.

Biometrics.Application of statistical methods and calculation in the study of biological phenomena. In security it is used as a means to identify, authenticate and control access through measurable human biological data. There are various levels of biometric security with biological measurements (DNA and blood); morphological ones that involve the structure of the body (shape of the face, eyes, etc.) and behavioral ones, those based on actions or patterns such as the tone of the voice or the way of moving. Biometric data is unique to each individual and is one of the best identity confirmation tools. By the way,  the term biometrics comes from two Greek words: BIOS(life) and  METRON(measurement).

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Behavioral Biometrics.It is about biometrics based on own actions or behaviors associated with a person. This includes typing pattern (formerly known as keystroke dynamics), tone of voice, use of social media, intensity of heartbeat, and even gait.

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cybercrime.It is all crime that involves computing devices and networks for carrying out illegal activities. More in detail,   is usually used to talk about those activities directed against the confidentiality, integrity and availability of computer systems and networks, as well as the data stored in them.

 

Confidentiality.Initially defined as "what is done or said in the confidence that what is done or said will be kept confidential", today it simply means keeping a secret.  This quality in computer terms refers to the fact that the data that is stored on any device and transmitted in any medium should not be exposed to anyone. This reserve of information is enhanced through the use of cryptography.

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deduplication. Mechanisms used to detect duplicate identities and ensure the  uniqueness of people within a system or organization. The tools used in these processes generally include biometric recognition, biographical data, and the use of credentials.

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Availability.It is the guarantee that a company's IT infrastructure has adequate recovery and protection capacity against system failures, natural disasters or malicious attacks. It is the ability to access and use resources, be it a computer network, a system, an application or data, allowing its use to authorized persons.

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Face Match. Facial recognition or face matching system through which a user uses his biometric characteristics (his face) to authenticate his identity. This is one of the most used systems thanks to the popularization of smartphones and is frequently associated with the use of mobile applications (apps) and web platforms as a mechanism to keep accounts or transactions safe and secure.

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Authorized source.Repository, system, or database that contains information about an individual's attributes and is considered to be the primary or most reliable source for this information. When two or more  identification systems present a conflict in their data, the authorized source is used as the most secure source of information in this regard.

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Identity.It is the set of characteristics of an individual, or of a community, that characterize them from others. In security it is used to talk about individuals and the attributes that make them unique. These variables include physical characteristics, personal history, beliefs, cultural, national, and gender factors, among other variables.

Digital identity.Just as there is a physical identity, there is also a digital version made up of the unique attributes of each individual   that are captured,  validated or _cc781905-5cde-3194-bb3b -136bad5cf58d_stored  by digital means.

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ID.It is the action or process of identifying or identifying oneself. Traditionally, this process is linked in the physical world and government agencies   with the use of identity documents. On the digital plane, it is usually used to verify that on the other side of the computer, or smartphone, the person who comes into contact is who they say they are. For this purpose, attribute registration processes are used and later, based on the information captured, credentials are issued to optimize the authentication processes. 

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Biometric Identification.It is the process of determining the identity of a person through the use of biometric data  such as the shape of the face, the fingerprint or the pattern of walking, among other possibilities.  This information is then compared with a database to verify the identity of said user. 

 

Despite the use of digital tools for the capture, recording and comparison of data, it must be taken into account that a biometric match is never exact and therefore a 100% match between the biometric template and the user's data will never be presented. As a consequence, margins must be established   for the acceptance of matching patterns that obey a category called biometric threshold. 

 

Integrity.It refers to the state and accuracy of the data involved in a process. In other words,  integrity requires that the data received must be exactly the same as the data sent. 

 

performance metrics.They are measurement systems used to determine the precision of the  authentication processes.  In biometrics the following stand out:

• False Acceptance Rate (FAR).The False Acceptance Rate or FAR is sometimes known as the False Negative Rate or FN. As its name indicates, it is related to unregistered users who, despite them, are erroneously admitted to the systems.

• False rejection rate (FRR).It is sometimes known as the false positive rate or FP. It is the opposite case of the FAR and occurs when the system denies access to an authorized user.

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Biometric recognition.Procedure, through the use of  technological devices, to confirm the identity of people by comparing biological and behavioral attributes.

 

Face recognition.Facial recognition is the use of technology to verify the identity of a user by comparing their facial attributes with a digitally stored database. Despite not being the most accurate identification method, of all the biometrics, it has become popular due to its ease of use. Its operation is based on the registration of the facial structure, using the distances between the center of the pupils in the eyes, the nose, the mouth and the edges of the jaw. These  variables are stored using algorithms that protect the information and optimize it for later comparison.

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cyber security.Cybersecurity is the combination of people, policies, processes and technologies used by a company to protect its digital assets. There are various classifications ranging from  security of the Internet of Things (IoT), to information security, among other classifications. Some of the most common threats are ransomware, malware, denial of service attacks, and  phishing. Its use has changed its motives, and sides, from its beginnings, from being a tool for extortion and industrial espionage, to the sabotage of entire nations in conflict and a tool for cyber-activists.
 
Identification system.It is about the set of practices,  equipment, technological infrastructure, software,  credentials and laws involved in the capture, management and use of personal identification data.

 

Digital identification system.It is a technological platform used during the life cycle of an organization's  identity. It covers from the capture, validation, storage and transfer of data, to the management of credentials, for their subsequent verification and authorization  de identities.

 

Error rate. No matter how sophisticated the technological equipment used in biometrics may be, there will always be a margin of error. For this reason, in biometrics we speak of a biometric threshold that must be established using false acceptance rate (FAR) and false rejection rate (FRR) variables. In this way, if the biometric threshold is at a low value, few rejections will be generated, which is equivalent to a low FRR and a greater risk of imitators. To avoid this, the FRR is increased, which will also decrease the FAR.

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check. For the context of information technology and security, it is defined as the process of confirming the identity of a user or process by comparing their attributes or credentials to facilitate their authorization and access to services.

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Biometric verification.It is the verification process using biometric attributes for this purpose. With this objective, a capture of these variables is carried out, whose information is compared with a digitally stored biometric template. 

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