I am a recent law school graduate and soon-to-be attorney who writes about cybersecurity, eDiscovery and emerging technology for various legal tech companies and law firms. I've also worked as a legal intern at BBC Worldwide Americas, Inc., and various law firms in the New York City area. For in...
Microsoft's Garcia: Law firms must create 'culture of cybersecurity' | Logikcull Blog
Look left. Look right. Chances are, you know someone whose personal or corporate information was compromised as a result of a data breach. Facing mounting pressure to stem the rising tide of data breaches, especially in light of the upcoming GDPR’s stringent data security penalties, companies are beginning to take a hard look at whether the technologies they’re using are up to snuff. But what if the issue doesn’t lie just with the technology, but with the people managing it?
Thanks to a recent string of high-profile cyberattacks, data breaches have never been as hot a topic as they are now. Few of the more recent ones, however, have been more egregious or controversial as the recent Equifax data breach, which exposed the personally identifiable information of roughly 143 million Americans. What is particularly striking about this, however, was how easily preventable it might have been.
Despite facing attacks from Chinese regulators and even Jamie Dimon last month, Bitcoin has never been more popular. In fact, a single bitcoin is currently valued at over $5,000 and rising—up from roughly $630 at this point last year. Part of the cryptocurrency’s appeal can be traced to its use of blockchain, a decentralized ledger technology that anonymizes person-to-person transactions and updates client transactions and balances without going through a bank or other centralized authority.
Muck Rack makes it simple to find people, tweets, or articles that mention any name, keyword, company, hashtag etc. We've compiled this guide to help you make the most of your search.
Selecting a term
Start searching tweets, articles from media outlets, articles mentioned in tweets, journalists'
names, titles and bios with some suggested searches:
Companies or Topics (e.g. iPhone, Microsoft)
Phrases (e.g. "cloud computing") — use quotes to keep the terms together
Twitter handles (e.g. @username) — returns those who have mentioned or replied to
Names (e.g. "David Pogue")
Hashtags (e.g. #sxsw, #london2012)
Bio details (e.g. vegan, Olympics, father)
Muck Rack's Advanced Search allows for many boolean operators.
Find results that mention multiple specified terms, use AND or
+. For example, ensure each result contains both Elon Musk and Mark Zuckerberg by
searching Musk AND Zuckerberg or Musk + Zuckerberg.
Use the operators OR or , to broaden your search when you'd like either of
multiple terms to appear in results. (This is the default behavior of our search when no operators
are used). For example, results will contain either cake or cookie by searching cake OR cookie or cake,cookie
Use NOT or - to subtract results from your search. For
example, searching Disney will yield results about the Walt Disney Company as well as Walt Disney
World Resort. To exclude mentions of Disney World, search for Disney -World or Disney
When using one of these operators with a phrase, enclose it in quotation marks. For example, you can
find results about smartphones excluding Apple's iPhone 4S by searching smartphone -"iPhone
Exact case matching or punctuation
If you're searching for a brand name or keyword that relies on specific punctuation marks or capitalization, you can
find results that match your exact query by adding matchcase: before the keyword you're searching for, like matchcase:E*TRADE .
Use parentheses to separate multiple
boolean phrases. For example, to find journalists talking about having fun in Disney World or
Disneyland, search for ("disney world" OR disneyland) AND fun.
An asterisk can be used to search for any variation of a root word truncated by the asterisk. For example, searching for admin* will return results for administrator, administration, administer, administered, etc.
A near operator is an AND operator where you can control the distance between the words. You can vary the distance the near operation uses by adding a forward slash and number (between 0-99) such as strawberries NEAR/10 "whipped cream", which means the strawberries must exist within 10 words of "whipped cream".