System and method for prevention of threat

1. A system for prevention of threat comprising:

a memory configured to store one or more generated rules associated with a threat;

a processing subsystem operatively coupled to the memory, wherein the processing subsystem comprises:

a data extraction module configured to extract data from one or more internal sources and one or more external sources through one or more web crawlers using one or more parameters, wherein the one or more parameters comprises at least one of a keyword, content of search and a search string; wherein the one or more external sources comprises at least one of a deep web, a dark web and a surface web;

an analysis module operatively coupled to the data extraction module, wherein the analysis module is configured to:

analyse one or more elements from extracted data by using at least one of a co-relation analysis technique, a behavioural analysis technique and a contextual analysis technique; and

determine a type of threat, one or more existing threats and one or more upcoming threats based on one or more analysed elements, wherein the type of threat, the one or more existing threats and the one or more upcoming threats are obtained from at least one of a specific environment, a specific geographical area or a specific sector of an organization;

a rule generation module operatively coupled to the analysis module, wherein the rule generation module is configured to:

generate one or more rules in real time by monitoring the type of the threat, the one or more existing threats and the one or more upcoming threats determined by the analysis module; and

evaluate every packet of the extracted data based on one or more generated rules; and

an implementation module operatively coupled to the rule generation module, wherein the implementation module is configured to:

implement the one or more generated rules on at least one node corresponding to at least one computer device indulged in malicious activities upon evaluation of every packet of the extracted data; and

generate a notification in real-time to alert a system administrator to take one or more actions for prevention of threat upon implementing the one or more generated rules.

2. The system as claimed in claim 1 , wherein the processing subsystem operatively coupled to the memory is stored on a remote storage.

3. The system as claimed in claim 1 , further comprising a representation module operatively coupled to the analysis module, and configured to present the threat in one or more forms, wherein the one or more forms comprises at least one of a report, a dashboard, a structured threat information expression and an application programming interface.

4. The system as claimed in claim 1 , wherein the one or more internal sources comprises at least one of a firewall, a router and a security solution.

5. The system as claimed in claim 1 , wherein the one or more elements comprises at least one of a context of the data, depth of the context of the data, relationship between the context and the one or more parameters, interaction or communication within the one or more internal sources and the one or more external sources.

6. The system as claimed in claim 1 , wherein the one or more actions comprises deny access of acquiring the data from the one or more internal sources and the one or more external sources, drop a detected malicious packet or cease or disrupt an attack.

7. A method for preventing a threat comprising:

extracting, by a data extraction module, data from one or more internal sources and one or more external sources through one or more web crawlers using one or more parameters, wherein the one or more parameters comprises at least one of a keyword, content of search and a search string,

wherein the one or more external sources comprises at least one of a deep web, a dark web and a surface web;

analysing, by an analysis module, one or more elements from extracted data by using at least one of a co-relation analysis technique, a behavioural analysis technique and a contextual analysis technique;

determining, by the analysis module, a type of the threat, one or more existing threats and one or more upcoming threats based on one or more analysed elements, wherein the type of threat, the one or more existing threats and the one or more upcoming threats are obtained from at least one of a specific environment, a specific geographical area or a specific sector of an organization;

generating, by a rule generation module, one or more rules in real time by monitoring the type of the threat, the one or more existing threats and the one or more upcoming threats determined by the analysis module;

evaluating, by the rule generation module, every packet of the extracted data based on one or more generated rules;

implementing, by an implementation module, the one or more generated rules on at least one node corresponding to at least one computer device indulged in malicious activities upon evaluation of every packet of the extracted data; and

generating, by the implementation module, a notification in real-time to alert a system administrator to take one or more actions for prevention of threat upon implementing the one or more generated rules.

8. The method as claimed in claim 7 , wherein storing the one or more generated rules associated to the threat comprises storing the one or more generated rules associated to the threat on a remote storage.

9. The method as claimed in claim 7 , further comprising presenting the data associated with the threat in one or more forms, wherein the one or more forms comprises at least one of a report, a dashboard, a structured threat information expression and an application programming interface.