Foxrealty377

Top 10 types of information security threats for IT teams. Common security threats range from insider threats to advanced persistent threats, and they. TTI welcome to TTI, TECHNOLOGY INVENTIONS INNOVATIONS MIND-BLOWING CREATIONS Hi friends, Welcome to our channel, where we provide world's best Top 10s, Top5s things related to science.

Goals

To collect the most comprehensive dataset related to identified application vulnerabilities to-date to enable analysis for the Top 10 and other future research as well. This data should come from a variety of sources; security vendors and consultancies, bug bounties, along with company/organizational contributions. Data will be normalized to allow for level comparison between Human assisted Tooling and Tooling assisted Humans.

Top 10 Information In Hindi

Analysis Infrastructure

Plan to leverage the OWASP Azure Cloud Infrastructure to collect, analyze, and store the data contributed.

Contributions

We plan to support both known and pseudo-anonymous contributions. The preference is for contributions to be known; this immensely helps with the validation/quality/confidence of the data submitted. If the submitter prefers to have their data stored anonymously and even go as far as submitting the data anonymously, then it will have to be classified as “unverified” vs. “verified”.

Verified Data Contribution

Scenario 1: The submitter is known and has agreed to be identified as a contributing party.
Scenario 2: The submitter is known but would rather not be publicly identified.
Scenario 3: The submitter is known but does not want it recorded in the dataset.

Top 10 Information Security Risks

Unverified Data Contribution

Scenario 4: The submitter is anonymous. (Should we support?)

The analysis of the data will be conducted with a careful distinction when the unverified data is part of the dataset that was analyzed.

Contribution Process

There are a few ways that data can be contributed:

1. Email a CSV/Excel file with the dataset(s) to [email protected]
2. Upload a CSV/Excel file to a “contribution folder” (coming soon)

Template examples can be found in GitHub: https://github.com/OWASP/Top10/tree/master/2020/Data

Contribution Period

We plan to accept contributions to the new Top 10 from May to Nov 30, 2020 for data dating from 2017 to current.

Data Structure

The following data elements are required or optional.
The more information provided the more accurate our analysis can be.
At a bare minimum, we need the time period, total number of applications tested in the dataset, and the list of CWEs and counts of how many applications contained that CWE.
If at all possible, please provide the additional metadata, because that will greatly help us gain more insights into the current state of testing and vulnerabilities.

Metadata

• Contributor Name (org or anon)
  
• Contributor Contact Email
  
• Time period (2019, 2018, 2017)
  
• Number of applications tested
  
• Type of testing (TaH, HaT, Tools)
  
• Primary Language (code)
  
• Geographic Region (Global, North America, EU, Asia, other)
  
• Primary Industry (Multiple, Financial, Industrial, Software, ??)
  
• Whether or not data contains retests or the same applications multiple times (T/F)
  

Top 10 New Technology 2018

CWE Data

• A list of CWEs w/ count of applications found to contain that CWE
  

Top 10 Information Technology Companies

If at all possible, please provide core CWEs in the data, not CWE categories.
This will help with the analysis, any normalization/aggregation done as a part of this analysis will be well documented.

Note:

If a contributor has two types of datasets, one from HaT and one from TaH sources, then it is recommended to submit them as two separate datasets.
HaT = Human assisted Tools (higher volume/frequency, primarily from tooling)
TaH = Tool assisted Human (lower volume/frequency, primarily from human testing)

Top 10 Information Security Risks

Survey

Similarly to the Top Ten 2017, we plan to conduct a survey to identify up to two categories of the Top Ten that the community believes are important, but may not be reflected in the data yet. We plan to conduct the survey in May or June 2020, and will be utilizing Google forms in a similar manner as last time. The CWEs on the survey will come from current trending findings, CWEs that are outside the Top Ten in data, and other potential sources.

Process

At a high level, we plan to perform a level of data normalization; however, we will keep a version of the raw data contributed for future analysis. We will analyze the CWE distribution of the datasets and potentially reclassify some CWEs to consolidate them into larger buckets. We will carefully document all normalization actions taken so it is clear what has been done.

We plan to calculate likelihood following the model we developed in 2017 to determine incidence rate instead of frequency to rate how likely a given app may contain at least one instance of a CWE. This means we aren’t looking for the frequency rate (number of findings) in an app, rather, we are looking for the number of applications that had one or more instances of a CWE. We can calculate the incidence rate based on the total number of applications tested in the dataset compared to how many applications each CWE was found in.

In addition, we will be developing base CWSS scores for the top 20-30 CWEs and include potential impact into the Top 10 weighting.

Also, would like to explore additional insights that could be gleaned from the contributed dataset to see what else can be learned that could be of use to the security and development communities.

This is a list of notable companies in the information technology sector based in India. Top 10 companies are listed in descending order of their market capitalization,^[1] and other companies are listed alphabetically, grouped by the cities in which they are headquartered. Certain companies have main offices in more than one city, in which case they are listed under each, but minor offices and resources are not listed. Foreign companies are only listed if they have one of their main offices in India.

Top 10 Information In Hindi

Top 10 Information Websites

Top 9 companies

Other companies

References

1. ^'Top Companies in India by Market Capitalization - BSE'. moneycontrol.com. Retrieved 20 October 2015.
2. ^'God's own country to house largest IT park'. The Indian Express.
3. ^'TCS to invest 500 Crores in Mangalore'. Daijiworld. Retrieved 7 August 2020.
4. ^'India Office Locations (section 'Mumbai')'. Tata Consultancy Services. Retrieved 10 December 2012.
5. ^ ^ab'Wipro Contact Us - India'. Wipro. Archived from the original on 21 October 2014. Retrieved 1 November 2013.
6. ^'HCL India - Outsourcing Software Development, IT Outsourcing Company, Offshore Software Development - HCL Technologies'.
7. ^https://www.hcltech.com/careers/lucknow
8. ^'Leader in OPD and Cloud Migration Significantly Reduces Costs with Virtualization Platform'. Microsoft Case Studies. 20 December 2011. Retrieved 8 December 2012.
9. ^indiainfoline.com. 'Unstoppable Coimbatore'.
10. ^'Cognizant to enlarge IT SEZ by 50%'. Daily News and Analysis. Retrieved 2 January 2017.
11. ^'Datamatics Global Services > Location Details > Computers - Software Medium & Small > Location Details of Datamatics Global Services - BSE: 532528, NSE: DATAMATICS'. moneycontrol.com.
12. ^'Indian start-up Mistral Solutions finds business in developing technology for US defence and homeland security'.
13. ^Bureau, BW Online. 'Oswald Foundation Rebrands to Oswald Labs and Launches A11Y co Web Accessibility Platform'. BW Disrupt. Retrieved 16 January 2018.
14. ^'Prodapt Solutions Private Limited: Private Company Information - Businessweek'. bloomberg.com. Retrieved 25 August 2016.
15. ^'Sonata Software Ltd Company Locations'. The Economic Times. Retrieved 10 December 2012.
16. ^'Worldwide Locations'.