The major breaches of 2017 really shook the security industry by bringing the reality of cyber crime’s impact to the masses. No one will be surprised if 2018 sees an increase in threats related to stolen credentials. So, with criminals masquerading as legitimate employees, able to access companies’ most valued data assets, how can companies detect and stop these bad actors before it’s too late? It starts with flipping the model, said Ryan Stolte, Bay Dynamics co-founder and CTO.
Being the victim of a crime is never good news for any organization. In addition to all the other questions that stakeholders want answered, most people want to know who was behind the attack. As breaches have become more mainstream, many organizations are relying upon the help of the FBI to investigate cyber attacks. In fact, the FBI’s cyber crime said billions of dollars are lost every year repairing systems hit by cyber attacks.
Whether a user’s credentials have been stolen, or external partners have been compromised, any user with network access is a potential risk to enterprise IT security. We’re not just talking about disgruntled employees here: Attackers continue to use social engineering tactics to steal credentials by leveraging personal information from social networking sites. And more sophisticated phishing attacks continue to trick end users into clicking on malicious links and attachments.
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".