Data Loss Prevention (DLP) in the modern Enterprise!

Master the core concepts of regular expressions, go from zero to 100, and learn to write your own regular expressions with confidence.

Regular expressions define patterns to search text, validate formats, extract data, and transform it for easy consumption, while metacharacters reveal their special meanings.

Learn how to use square brackets and the caret in regular expressions to match single characters, ranges (A-Z), include spaces and punctuation, and negate matches.

Explore how to use caret and dollar sign to anchor patterns at line starts and ends, and apply brackets, parentheses, and curly braces to match repeated words in regex.

Master the pipe character in regular expressions to perform alternation, grouping, and pattern matching, illustrated with eat or eight and ts followed by a space or a comma.

Master regex repetition using the plus and star quantifiers. Use curly braces and the pipe symbol for one to three repetitions and alternation, with grouping for zero or more occurrences.

Explore how regular expressions use the dot to match any character and the star to match greedy strings, and how brackets, pipes, and dots define patterns that match lines.

Master a regex walkthrough for DLP in the enterprise, using square brackets and first-character constraints to match Madobe with capital M and small m while excluding Hadoop and CARDO.

Explore a walkthrough of using a regular expression to match a pattern and then compute its complement with a negated character class, using square brackets and a caret.

Explore a regex walkthrough that teaches matching words at the start of sentences using caret anchors, illustrating how to identify patterns in a data loss prevention challenge.

Engage in the new challenge, locate groups, use a character to match full words, and apply the Matak character to target adverbs at the end of the sentence.

Demonstrates two regex methods to match names starting with k or g: a character class in brackets, and grouping with alternation using a pipe.

Explore regex techniques to match adjacent groups and exclude others, using character classes, grouping, and repetition with curly braces, and experiment with alternation to refine matches.

Learn to build regular expressions that match the bird at the start of a sentence and at the end, using carrot, dollar sign, brackets, and the pipe to join logic.

Explore a regex walkthrough using the carrot followed by bird in rounded brackets, with curly braces to repeat two, three, or four times at sentence starts.

Match bird tokens repeated two to four times, starting with a caret and ending at the end of the sentence. Use curly braces and the assignment character.

Develop a regex approach to locate countries enclosed in curly brackets, escaping braces and using dot star to match lines, as part of the data loss prevention challenge walkthrough.

Walk through a data loss prevention challenge that uses regex to match lines enclosed in curly brackets and single codes, employing escaping and backslash skip to ensure correct matches.

Demonstrate regex techniques to match countries in single or double codes, using escapes, grouping, and a pipe; extend to curly braces with a dot for complete line matches.

Walkthrough of constructing a regex to match country codes in single or double formats and square brackets, using grouping and alternation to apply to lines for data loss prevention.

Write a regular expression to match email addresses using character classes, plus signs, and escaping dots, covering the local part, at symbol, domain, and hyphen variants.

Write a regular expression to match Bitcoin addresses, capturing 34-character patterns that start with 1, using brackets for a-z, A-Z, and 0-9, repeated 33 times.

Create a regular expression to match urls, starting with an optional s after the prefix, then colon and two forward slashes. Use a character class and plus for url characters.

Extract the user agent value from json-like key-value data by building a regex that matches the user agent key and captures the quoted value up to the country key.

Walks through extracting postal code values from XML files with a regex, matching the opening and closing tags and capturing 1-15 characters of digits, capitals, hyphen, or space.

Celebrate completing the data loss prevention journey by understanding how technology, people, and process aspects of DLP work together for success, and share feedback to help others.

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