Colortokens, Inc.

Infrrd Inc.

Vikas Kumar

Ravi Voleti

Hari Hara Sudhan Rajalingam

Kantesh Sakri

A method of training a system to extract information from documents comprises feeding digital form of training documents to an OCR module, which identifies multiple logical blocks in the documents and text present in the logical blocks. One or more tags for the whole of the document, the logical blocks and word tokens on the document are received by a tagging module. A text input comprising the text identified in the document and the tags for the whole of the document are received by a machine learning module. A first image of the document with layout of the one or more of the identified blocks superimposed, and the tags of the logical blocks in the document are received by the machine learning module, wherein the received text input, first image and tags for the logical blocks corresponds to a plurality of the training documents.

System to extract information from documents

A centralized controller for probing and securing vulnerable network resources is disclosed. A list of services hosted by a resource is received at the controller. A request to probe the list of services hosted on the resource is received by the controller. A probe candidate is determined by the controller. The probing is triggered by the controller based on a user scheduled time. The probing includes sending a probe packet that contains a special marker. The controller sends the list of resources to be probed for a set of port and protocol, to the probe candidate. A probe result generated as a result of the probing is received at the controller. The probe result includes vulnerable service information. A policy is computed based on the probe result and is enforced on the probed resources.

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Bengaluru, India

Vikas Kumar