Abstract: A method, according to one embodiment, includes obtaining satellite data associated with a plurality of satellites, and using a predetermined algorithm to condition the satellite data for an AI model, where trust scores are generated for different portions of the satellite data based on predetermined attributes. The method further includes causing the AI model to analyze the conditioned satellite data and, based on the analysis, predict collision events for the satellites based on the trust scores. The predicted collision events are prevented from occurring. A computer program product, according to another embodiment, includes one or more computer-readable storage media, and program instructions stored on the one or more storage media to perform the foregoing method.

Abstract: An embodiment activates at least one instructor avatar in a virtual reality education session. From the session, a sampling is captured, the sampling being a pattern of an action of the IA in the session, or a sample of content being presented in the session. The sampling from the session is analyzed to determine whether the sampling corresponds to a valid human instructor assigned to the session. From the analysis, a detection is made that the IA has been compromised in the session. The IA is ejected from the session while maintaining the continuity of the session. The IA is replaced in the session with a replacement IA such that the replacement IA continues a planned lesson in the session.

Abstract: Methods and apparatus are provided for securing in-vehicle payments for offline services using generative AI and Li-Fi communication. A Li-Fi payment assistant unit of a vehicle is activated in response to the vehicle being within a defined range of a service station. Once activated, the Li-Fi payment assistant receives payment transaction information via an input device within the vehicle, encrypts the payment transaction information, identifies a Li-Fi protocol used by the service station for communication, transforms the encrypted payment transaction information from a payment message format to a Li-Fi protocol format compatible with the identified Li-Fi protocol, encodes the transformed payment transaction information into a light signal by modulating light emitted from one or more light sources of the vehicle, and transmits the light signal to the service station.

Abstract: A risk monitor component may intercept a request for execution of a function on one or more computer systems. The request may be generated by a digital worker. The risk monitor component may determine, utilizing a large language model (LLM), a potential impact of the execution of the function and apply a fuzzy logic-based scoring algorithm, to the potential impact, to compute a risk score based on defuzzification of previous qualitative measures of risk correlations. The risk monitor component may determine, based on the risk score, an execution path for the execution of the function.

Abstract: Code comment quality assurance includes calculating a complexity of a code portion extracting, from the code portion, one or more comments associated with the code portion, converting the one or more comments into a set of text features, quantifying the set of text features, determining, for the one or more comments, alignment between the one or more comments and the associated code portion using the quantifications of the set of text features and the complexity of the code portion, and triggering a notification responsive to the determination that the one or more comments and the associated code portion are misaligned.

Abstract: Mechanisms are provided for decentralized security orchestration. The mechanisms execute training, for each vendor network in the plurality of vendor networks, on a corresponding vendor network artificial intelligence (AI) computer model. The training is executed with training data collected from a corresponding vendor network over time, where the training data represents transactions occurring within the corresponding vendor network. The trained models are executed on new security information to thereby classify activity in portions of the data processing system as to a security risk level. Fuzzy logic is executed on the classifications to automatically determine if segmentation of the data processing system is to be performed. If segmentation is to be performed, the mechanisms segment/isolate portions having a predetermined security risk level classification.

Abstract: Mechanisms are provided for decentralized security orchestration. The mechanisms execute training, for each vendor network in the plurality of vendor networks, on a corresponding vendor network artificial intelligence (AI) computer model. The training is executed with training data collected from a corresponding vendor network over time, where the training data represents transactions occurring within the corresponding vendor network. The trained models are executed on new security information to thereby classify activity in portions of the data processing system as to a security risk level. Fuzzy logic is executed on the classifications to automatically determine if segmentation of the data processing system is to be performed. If segmentation is to be performed, the mechanisms segment/isolate portions having a predetermined security risk level classification.

Abstract: Techniques are described with respect to a system, method, and computer program product for dynamically optimizing virtual collaboration environments. An associated method includes analyzing a plurality of resource metrics associated with at least one participant associated with a virtual collaboration; and generating a virtual environment for the virtual collaboration based on the analysis; wherein generating the virtual environment comprises aggregating a plurality of media content associated with the virtual collaboration based on a detected modification to the virtual collaboration.

Abstract: Performing secure payment transactions via Global Navigation Satellite System (GNSS) is provided. An input is received from a payer corresponding to a GNSS user device to initiate a payment transaction in a payment message format from the payer to a payee via a GNSS protocol of a GNSS satellite to a payment system server corresponding to a payment service provider. The payment transaction is sent in a selected GNSS message format via a secure satellite communication link to the GNSS satellite to be transmitted to the payment system server corresponding to the payment service provider for processing of the payment transaction for the payee.

Abstract: An embodiment configures a first agent to monitor a first communication channel from a first client. An embodiment converts, by the first agent, a first communication to a central format, the first communication received via the first communication channel in a first format at a first time. An embodiment extracts, by the first agent, first incident data from the first communication. An embodiment extracts, from an incident database, by a central agent at a second time later than the first time, first client data including the first incident data.

Abstract: An embodiment configures a first agent to monitor a first communication channel from a first client. An embodiment converts, by the first agent, a first communication to a central format, the first communication received via the first communication channel in a first format at a first time. An embodiment extracts, by the first agent, first incident data from the first communication. An embodiment extracts, from an incident database, by a central agent at a second time later than the first time, first client data including the first incident data.

Abstract: In an approach to managing telematic data transmission using a global navigation satellite system, one or more computer processors monitor an internet connectivity of a computing device associated with a vehicle. One or more computer processors determine the internet connectivity has failed. One or more computer processors retrieve health data associated with the vehicle. One or more computer processors transform the health data to a format associated with a global navigation satellite system (GNSS). One or more computer processors generate a message in the format associated with the GNSS that includes the transformed health data. One or more computer processors generate a message in the format associated with the GNSS that includes the transformed health data. One or more computer processors transmit the message from the computing device associated with the vehicle to a satellite. One or more computer processors transmit the message from the satellite to a service provider.

Abstract: Code comment quality assurance includes calculating a complexity of a code portion extracting, from the code portion, one or more comments associated with the code portion, converting the one or more comments into a set of text features, quantifying the set of text features, determining, for the one or more comments, alignment between the one or more comments and the associated code portion using the quantifications of the set of text features and the complexity of the code portion, and triggering a notification responsive to the determination that the one or more comments and the associated code portion are misaligned.