Abstract: Apparatus and methods to decipher and analyze hidden/figurative meanings in communications using contextual analysis are provided. The apparatus and methods may include generating an initial list of slang words and phrases and their corresponding hidden/figurative meanings, searching the Internet for new slang words and phrases, determining the corresponding hidden/figurative meanings of the new slang words and phrases, and contextually analyzing a set of communications for hidden/figurative meaning. The apparatus and methods may include generating an alert if a relevant hidden/figurative meaning is found in the set of communications.

Abstract: Multifactor user authentication leveraging secure tokenization, such as a Non-Fungible Token (NFT) and multiple passkeys (e.g., bifurcated passkey). One or more authentication NFTs are generated that use some form of a user's authentication credentials as the seed input for the NFT encryption/hash algorithm(s). In addition, passkeys are distributed to and/or made accessible to multiple passkey holders. In response to an event that requests multifactor authentication of the user, a plurality passkeys are requested, received and verified. Each of the passkeys being requested and received from, or at the directive of, one of the multiple passkey holders. In response to verifying the plurality of passkeys, at least one of the authentication NFTs is accessed and the cryptographic hash algorithm(s) is implemented to decrypt the authentication NFT(s) and identify the one or more user credentials.

Abstract: Embodiments of the invention are directed to systems, methods, and computer program products for audiovisual conferencing. The system comprising video input and output devices, which allow a user to be viewed by and view other conference attendees and audio input and output devices that allow the user to be heard by and hear other conference attendees. Further, the system includes a noise mitigation to ensure that a user has privacy when attending a remote meeting in a public or semi-public place.

Abstract: Implementing artificial intelligence, specifically, machine learning techniques to identify malicious emails and, in response, identifying and conducting actions, including reporting the malicious emails to identified internal and/or external entities and preventing the malicious emails from being delivered to email client mailboxes. The machine learning techniques rely on malicious email patterns identified, at least, from previously identified malicious emails and data resulting from continuously crawling the Web and threat intelligence sources. Further, the email clients may be configured to include an add-on feature in which the user can provide a single input to report the email as being suspicious, which results in further analysis to determine whether the email is, in fact, a malicious email.

Abstract: Leveraging secure tokenization, such as a Non-Fungible Token (NFT), for purposes of multifactor and/or elevated user authentication. In this regard, an authentication NFT is generated based at least on a user's authentication credentials. Subsequently, the authentication NFT is verified/validated via a private distributed trust computing network and stored, in a deactivated state, on a distributed ledger. Once the user is confronted with an elevated and/or multifactored authentication process, the user may initiates use of the authentication NFT by checking-out the authentication NFT from the distributed ledger and moving the authentication NFT from the deactivated state to an activated state, in which the user credentials are accessible to the user for purposes of authentication.

Abstract: Aspects of the disclosure relate to adjustable control thresholds. A computing platform may monitor employee activity within an enterprise organization. The computing platform may generate, for each employee of the plurality of employees, employee control thresholds. The computing platform may generate, based on an indication from an employee computing device, modified employee control thresholds associated with the employee. The computing platform may generate, based on the indication, test data including a subset of the employee activity associated with the employee.

Abstract: Apparatus and methods to decipher and analyze hidden/figurative meanings in communications using contextual analysis are provided. The apparatus and methods may include generating an initial list of slang words and phrases and their corresponding hidden/figurative meanings, searching the Internet for new slang words and phrases, determining the corresponding hidden/figurative meanings of the new slang words and phrases, and contextually analyzing a set of communications for hidden/figurative meaning. The apparatus and methods may include generating an alert if a relevant hidden/figurative meaning is found in the set of communications.

Abstract: Aspects of the disclosure relate to information security by identifying unique or related factors in common between individuals subject to a common threat vector. Data mining and data acquisition of public and non-public user information is performed to prevent, disrupt, and/or address criminal, cyber, and fraudulent threats. The information can be normalized into template(s) to align information across disparate datasets and enable efficient storage of the big data into appropriate fields to be tracked. The information can be stored in data warehouse(s) or in multidimensional data structure(s) for investigation if a threat vector against a group of individuals is detected. The multidimensional data can be analyzed to identify direct connections, common connecting entities, and/or connectivity clusters between individuals who were attacked or who may be attacked in the future.

Abstract: Aspects of the disclosure relate to information security by identifying unique or related factors in common between individuals subject to a common threat vector. Data mining and data acquisition of public and non-public user information is performed to prevent, disrupt, and/or address criminal, cyber, and fraudulent threats. The information can be normalized into template(s) to align information across disparate datasets and enable efficient storage of the big data into appropriate fields to be tracked. The information can be stored in data warehouse(s) or in multidimensional data structure(s) for investigation if a threat vector against a group of individuals is detected. The multidimensional data can be analyzed to identify direct connections, common connecting entities, and/or connectivity clusters between individuals who were attacked or who may be attacked in the future.