I wrote about the mistakes that many organizations are making as they prepare for GDPR implementation. So here I’ll look at the opposite: What steps should you take to make sure your GDPR preparations are on the right track? Here is the advice from different security and privacy experts. Doug Snow, VP of Customer Success with TITUS, pointed out a simple GDPR prep step that I’m totally on board with: Get your employees involved and have them be part of the solution.
With the EU’s General Data Protection Regulation (GDPR) only less than three months away from enforcement, organizations are (hopefully) pulling together their GDPR strategy. However, the nuances of GDPR are something most of us are still trying to understand – and we probably won’t grasp until the regulation is in effect and tested. In the rush to meet the compliance standards, errors will likely be made. I talked to security experts, and here are some of the more common GDPR prep mistakes.
For all the focus on GDPR, there is a U.S.-based security mandate that was scheduled to go into effect in January. To better protect federal agencies from cyberattacks, the Department of Homeland Security (DHS) required the implementation of Domain-based Message Authentication, Reporting and Conformance (DMARC) for email systems.
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".