Hcl Technologies Limited

Venkatesh Shankar

Simy Chacko

Ramesh Gurusamy

Vijay Kulandaisamy

Jose Vincent

Sumathi Babu

Pawan Jiyalal Yadav

The disclosure relates to method and system for securing delivery of a package. The method may include receiving, from a token generating server, a security token corresponding to security data associated with the delivery of the package. The token generating server may be configured to generate the security token corresponding to the security data upon receiving the security data from a sender device. A security code representative of the security token may be attached to the package. The method may further include capturing the security code from the package at the time of delivery of the package to a receiver, correlating the security code with the security token, to identify a match between the security code and the security token, and upon successful matching of the security code with the security token, allowing access of the package to the receiver.

Method and system for securing delivery of a package

A method and system for recording, organizing, and tracing events is disclosed. In some embodiments, the method includes obtaining real-time video data captured using a video capturing equipment. The real-time video data comprises a plurality of sequential image frames and audio data associated with each of a plurality of events. The method further includes extracting first timestamp data and first text data from each of the plurality of sequential image frames, extracting second timestamp data and second text data from the audio data, generating text data associated with each of the plurality of events based on the first timestamp data, the first text data, the second timestamp data, and the second text data, storing the generated text data for subsequent audit, and discarding the real-time video data associated with each of the plurality of events.

System and method for recording, organizing, and tracing events

The invention relates to method and system for enhancing computer network security. The method includes receiving a plurality of requests from client devices to avail a plurality of responses from services running on servers; determining a URL pattern for each of the plurality of requests based on URL associated with that request; determining a request data signature for each of the plurality of requests or a response data signature for each of the plurality of responses based on a set of request parameters associated with that request or based on a set of response parameters associated with that response, respectively, using a first machine learning model; and determining an authenticity of each of the plurality of requests based on the URL pattern and the data signature associated with that request, or an authenticity of each of the plurality of responses based on the data signature associated with that response.

Method and system for enhancing computer network security

This disclosure relates to method and system for identifying Personally Identifiable Information (PII) through secret patterns. The method includes receiving user data from at least one data source through a plurality of communication channels. The user data includes PII and non-PII. The user data is associated with a user. The PII includes a plurality of personal identifiers. The method further includes identifying the PII in user data through a predictive model. The method further includes generating a secret pattern based on the PII identified through the predictive model. The secret pattern is an identifiable label. The method further includes adding the secret pattern to each of the plurality of personal identifiers in PII. The method further includes identifying each of the plurality of personal identifiers through the secret pattern in real-time, when user data is transmitted from the at least one data source to at least one data destination.

Method and system for identifying personally identifiable information (PII) through secret patterns

The present disclosure relates to a system and method for controlling data interception in a communication network. One or more requests from a user for accessing one or more microservices are received through an Application Programming Interface (API). Information associated with one or more requests is the detected and requests are classified as secured microservice request and non-secured microservice request. The information is detected through predefined rules. Authentication token is then issued for secured microservice based on the detecting. The authentication token stores information detected by the detector in a geo storage system. The one or more requests are then routed according to the authentication token towards one or more corresponding microservices of the one or more microservices.

System and method for controlling data interception in a communication system

Disclosed is a system for allowing secure access to a microservice. An Application Programming Interface (API) gateway receives a request comprising a Uniform Resource Locator (URL) associated to the microservice. A set of input parameters indicating information about the user device and the microservice is identified from the URL. The system performs validation of input parameters, extraction of request patterns, tracking of IP address, and detection of user credentials to provide output parameters. A decision tree comprising rules is generated by using a supervised machine learning technique on the output parameters. Further, the API gateway creates a stateless identity token to encrypt the request. The stateless identity token is created based on the user credentials and at least one rule applicable to the request. Once the stateless identity token is created, the stateless identity token is verified to allow the secure access to the microservice.

System for allowing a secure access to a microservice

Disclosed is a system for debugging the network environment under regression testing. Initially, a data receiving module receives data pertaining to the network environment. An extraction module extracts a plurality of features by using a parser. An identification module identifies an error as a Problem Report (PR) or a False Failure (FF) based on classification of a test case execution log and a similarity confidence. The test case execution log may be classified based on comparison of a predefined pattern with an error pattern of the test case execution log. A generation module may generate second test case based on the plurality of features, a predefined set of instructions and the error pattern associated with the test case execution log by using a K-means and a Nearest Neighbour algorithm. A debugging module debugs the network environment based on execution of a test case.

System for debugging a network environment

The present disclosure relates to system(s) and method(s) for assisting a user in application development lifecycle. The system is configured to receive a new use case from a user device and identify a sub-set of development solutions from a set of development solutions, stored in a historical data repository, that are applicable for developing code corresponding to the new use case. Furthermore, the system is configured to receive a set test cases corresponding to each development solution from the historical data repository. Furthermore, the system is configured to generate a problem report and a false failure report based on analysis of the set of test cases. The system is further configured to rank the sub-set of development solutions based on analysis of the problem report and the false failure report. Further, the system is configured to generate a decision template based on the ranking of the sub-set of development solutions.

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Chennai, India

Venkatesh Shankar