By 2005, 60 percent of the costs associated with corporate security breaches will be financially or politically motivated, according to a new report from Gartner Inc.
The industry analyst firm also notes that most of those financial losses will be at the hands of insiders — either working alone or in conspiracy with someone outside the company.
”Security managers and CIOs are well aware of the threat posed by insiders, but often find it easier technically and politically to take action against external threats instead,” says Victor S. Wheatman, managing vice president for Gartner. ”Businesses must take steps to secure themselves against criminally intent insiders or resign themselves to suffering significant losses from insider crimes.”
Critical business practices, such as collaboration and knowledge management, demand intensive information sharing, even across businesses. This open access often results in unauthorized use of computers and networks, according to the Gartner report.
”There is a delicate balance between limiting insider access to information and crippling the ability to create revenue,” says Richard Hunter, vice president for Gartner. ”Generally, this conflict between security and commerce is resolved in favor of creating revenue and therefore facilitating insider crime.”
The Gartner report matches up with the warnings from a former secret service agent in a recent eSecurityPlanet interview.
Larry Cunningham worked with the Secret Service for 20 years and now is an international security consultant with his own company, Essential Security Strategies LLC. And he says companies are doing a poor job of securing themselves from the inside out.
”I’m seeing more insider situations than any coming from the outside,” said Cunningham. ”Your workers know how things are configured. They understand the political climate inside and they know the weaknesses that companies have. They might be disgruntled. They’re motivated. Trade secrets can be sold to the competition. Damage can be done. We’ve seen these types of problems generated more from the inside than from the outside.”
Cunningham suggests that companies be proactive and aggressive when it comes to protecting themselves.
”Do more rigorous background checks,” he warns. ”As you get closer to more vital pieces of the company’s infrastructure, the checks need to be more stringent. Absolutely, IT workers. Everyone with that kind of access needs to be checked out. And not just the first-time-hire situation. You need to renew the checks every year. People change. Their motivations change.”
And Gartner analysts say businesses also must create and enforce legal agreements defining legitimate use of proprietary intellectual property by trading partners and employees.
”Most businesses don’t have procedures for establishing and enforcing agreements on shared use of intellectual property,” says Wheatman. ”Without such legal agreements, misuse is more likely and less subject to recovery.”
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
FEATURE | By Samuel Greengard,
November 05, 2020
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
FEATURE | By Cynthia Harvey,
October 07, 2020
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 2020
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
Anticipating The Coming Wave Of AI Enhanced PCs
FEATURE | By Rob Enderle,
September 05, 2020
The Critical Nature Of IBM’s NLP (Natural Language Processing) Effort
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
August 14, 2020
Datamation is the leading industry resource for B2B data professionals and technology buyers. Datamation's focus is on providing insight into the latest trends and innovation in AI, data security, big data, and more, along with in-depth product recommendations and comparisons. More than 1.7M users gain insight and guidance from Datamation every year.
Advertise with TechnologyAdvice on Datamation and our other data and technology-focused platforms.
Advertise with Us
Property of TechnologyAdvice.
© 2025 TechnologyAdvice. All Rights Reserved
Advertiser Disclosure: Some of the products that appear on this
site are from companies from which TechnologyAdvice receives
compensation. This compensation may impact how and where products
appear on this site including, for example, the order in which
they appear. TechnologyAdvice does not include all companies
or all types of products available in the marketplace.