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The 10 Most Impactful Types of Vulnerabilities for Enterprises TodayManaging system vulnerabilities is one of the old est - and most frustrating - security challenges that enterprise defenders face. Every software application and hardware device ships with intrinsic flaws - flaws that, if critical enough, attackers can exploit from anywhere in the world. It's crucial that defenders take stock of what areas of the tech stack have the most emerging, and critical, vulnerabilities they must manage. It's not just zero day vulnerabilities. Consider that CISA's Known Exploited Vulnerabilities (KEV) catalog lists vulnerabilitlies in widely used applications that are "actively exploited," and most of them are flaws that were discovered several years ago and have been fixed. There are also emerging vulnerabilities in 5G networks, cloud infrastructure, Edge applications, and firmwares to consider.
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In this special report, learn the Xs and Os of any good security incident readiness and response playbook.
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User Rank: Apprentice
7/3/2015 | 1:59:47 PM
I, however, discovered and patented how to INTERNALLY structure any data: Language has its own Internal parsing, indexing and statistics and can be structured internally. For instance, there are two sentences:
a) 'Sam!'
b) 'A loud ringing of one of the bells was followed by the appearance of a smart chambermaid in the upper sleeping gallery, who, after tapping at one of the doors, and receiving a request from within, called over the balustrades -'Sam!'.'
Evidently, that the 'Sam' has different importance into both sentences, in regard to extra information in both. This distinction is reflected as the phrases, which contain 'Sam', weights: the first has 1, the second – 0.08; the greater weight signifies stronger emotional 'acuteness'.
First you need to parse obtaining phrases from clauses, restoring omitted words, for sentences and paragraphs.
Next, you calculate Internal statistics, weights; where the weight refers to the frequency that a phrase occurs in relation to other phrases.
After that data is indexed by common dictionary, like Webster, and annotated by subtexts.
This is a small sample of the structured data:
this - signify - <> : 333333
both - are - once : 333333
confusion - signify - <> : 333321
speaking - done - once : 333112
speaking - was - both : 333109
place - is - in : 250000
To see the validity of technology - pick up any sentence.
Do you have a pencil?
I don't need to apply these clutches of EXTERNAL queries for structuring, saving, maintaining the data. I can operate with any data without pre-structuring it! without manual work! I can take data as unstructured format and do whatever I want with it!
Instead of THE common for IBM, Oracle, Cloudera and others EXTERNAL way I can INTERNALLY structure data. All database providers are obsolete and soon out of business.