Datamation content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More.
With hackers growing ever more sophisticated, fully protecting your data is that much more difficult. The following guidelines are based on a recent report by Ernst & Young.
It is time to rethink information security programs and strategies to keep your company’s most valuable assets safe, according to Information Security in a Borderless World, a report released today by Ernst & Young LLP.
“Advancing technology, including cloud computing, social media and mobile devices, creates far too much access to information to rely on traditional barricades,” said Bernie Wedge, Americas Information Technology Risk and Assurance leader, in a statement. “Even internal employee emails have become a target by external hackers. Traditional security models no longer work in this borderless world. Companies need to embrace change in their security programs in order to thwart both external hackers and threats that arise with new technologies in their own organizations.”
Building on the findings from Ernst & Young’s 2010 Global Information Security Survey, the report proposes five interlocking phases of a transformational information security strategy to earn trust in a borderless world. It details specific opportunities for companies to achieve each action, including:
1. Identify the real risks – Define the organization’s risk appetite, identify the most important information and applications, where they reside and who has access to them, and assess threats and develop predictive models.
2. Protect what matters most – Focus on business drivers and high-value data, assume breaches will occur and improve processes, balance fundamentals with emerging threat management, and establish access control models.
Read more about data protection guidelines at eSecurity Planet.
RELATED NEWS AND ANALYSIS
-
Ethics and Artificial Intelligence: Driving Greater Equality
FEATURE | By James Maguire,
December 16, 2020
-
AI vs. Machine Learning vs. Deep Learning
FEATURE | By Cynthia Harvey,
December 11, 2020
-
Huawei’s AI Update: Things Are Moving Faster Than We Think
FEATURE | By Rob Enderle,
December 04, 2020
-
Keeping Machine Learning Algorithms Honest in the ‘Ethics-First’ Era
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 18, 2020
-
Key Trends in Chatbots and RPA
FEATURE | By Guest Author,
November 10, 2020
-
Top 10 AIOps Companies
FEATURE | By Samuel Greengard,
November 05, 2020
-
What is Text Analysis?
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 02, 2020
-
How Intel’s Work With Autonomous Cars Could Redefine General Purpose AI
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 29, 2020
-
Dell Technologies World: Weaving Together Human And Machine Interaction For AI And Robotics
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 23, 2020
-
The Super Moderator, or How IBM Project Debater Could Save Social Media
FEATURE | By Rob Enderle,
October 16, 2020
-
Top 10 Chatbot Platforms
FEATURE | By Cynthia Harvey,
October 07, 2020
-
Finding a Career Path in AI
ARTIFICIAL INTELLIGENCE | By Guest Author,
October 05, 2020
-
CIOs Discuss the Promise of AI and Data Science
FEATURE | By Guest Author,
September 25, 2020
-
Microsoft Is Building An AI Product That Could Predict The Future
FEATURE | By Rob Enderle,
September 25, 2020
-
Top 10 Machine Learning Companies 2021
FEATURE | By Cynthia Harvey,
September 22, 2020
-
NVIDIA and ARM: Massively Changing The AI Landscape
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
September 18, 2020
-
Continuous Intelligence: Expert Discussion [Video and Podcast]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 14, 2020
-
Artificial Intelligence: Governance and Ethics [Video]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 13, 2020
-
IBM Watson At The US Open: Showcasing The Power Of A Mature Enterprise-Class AI
FEATURE | By Rob Enderle,
September 11, 2020
-
Artificial Intelligence: Perception vs. Reality
FEATURE | By James Maguire,
September 09, 2020