information security


GRC Tuesdays: How Machine Learning Helps to Improve Security Part 1

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As our businesses become more digital in all dimensions, high-profile information security breaches are making the news headlines with increasing frequency. The recently-announced card hacking activity at online travel service Orbitz is just one of the latest examples. On March 20, 2018 Orbitz announced a security breach that exposed information derived from at least 880,000 customer payment cards. The breach took place between October and December of 2017, involving customer transaction records dating from 2016 and 2017. Although data captured on Orbitz.com was not affected, the company advised customers using Orbitz travel services within the past two years to check their credit and debit card billing statements from this period and to contact their banks if fraudulent charges were identified.


Who Owns AI Implementations? The Business, IT?

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Digital transformation is a fact of every business today. While the transformation of business has been well documented, it is less clear how technology, and what technologies are going to drive this process. Recently, research from Grant Thorton, the world's fifth largest professional services network of independent accounting and consulting member firms based in the London, UK, has quantified how much digital transformation will cost, how it will impact financially on enterprises and what the ultimate shape of digital enterprises will be. The research, which was published at the end of February, surveyed 304 CFOs and other senior financial leaders, from companies with revenues between $100 million and over $20 billion.


The Debate is Over: Artificial Intelligence is the Future for Cybersecurity

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In January Google's parent company, Alphabet, announced the launch of Chronicle – an artificial intelligence-based solution for the cybersecurity industry – promising "the power to fight cyber crime on a global scale." There are mixed opinions on the value and readiness of artificial intelligence (AI) in our industry. Just last year Google's own Heather Adkins, director of information security and privacy addressed the crowd at TechCrunch Disrupt 2017 and criticized the over use of artificial intelligence for the cybersecurity industry. Adkins argued that the implementation of artificial intelligence relies too heavily on feedback, "to learn what is good and bad…but we're not sure what good and bad is." She went on to say that companies should invest in more human talent and less technology.


AI is listening to you IEC e-tech Issue' 01/2018

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The term artificial intelligence is generally understood to refer to a machine that can replicate cognitive functions such as learning and problem-solving. It is a broad concept that encapsulates ideas ranging from Frankenstein-like robots to voice assistants for smart phones and other devices.


Artificial Intelligence in Black and White

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Editor's Note: The following blog post is a summary of a presentation from RFUN 2017 featuring Staffan Truvé, CTO and co-founder of Recorded Future, and Chris Poulin, principal/director at Booz Allen Hamilton. Artificial intelligence is about constantly trying to push the technology barrier -- once you actually succeed, however, it can be challenging to find the next new territory. There are a multitude of tricky questions to answer in dealing with artificial intelligence, so fortunately, there is no shortage of work in the field. Artificial intelligence is a complex contradiction in that it simultaneously deals with solving simple problems that are just repetitive, human tasks, while at the same time trying to push machines beyond human capability. Staffan Truvé, CTO and co-founder of Recorded Future, recently shared his expertise at the company's annual threat intelligence conference in D.C.


Malicious Use of Artificial Intelligence in InfoSec

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Heading into 2018, some of the most prominent voices in information security predicted a'machine learning arms race' wherein adversaries and defenders frantically work to gain the edge in machine learning capabilities. Despite advances in machine learning for cyber defense, "adversaries are working just as furiously to implement and innovate around them." This looming'arms race' points to a larger narrative about how artificial intelligence (AI) and machine learning (ML) -- as tools of automation in any domain and in the hands of any user -- are dual-use in nature, and can be used to disrupt the status quo. Like most technologies, not only does AI and ML provide more convenience and security as a tool for consumers, but each can be exploited by nefarious actors as well.



AI's Future Role in Cybersecurity

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What is Cryptojacking and Why Is It a Cybersecurity Risk? Artificial intelligence is already redefining cybersecurity, exposing sophisticated attacks and adding a level of Terminator-style relentlessness to threat detection tools and anti-malware software. AI is even being used by a startup to scou...


AI's Future Role in Cybersecurity

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Artificial intelligence is already redefining cybersecurity, exposing sophisticated attacks and adding a level of Terminator-style relentlessness to threat detection tools and anti-malware software. AI is even being used by a startup to scour the dark web for evidence that its customers have been hacked and their sensitive data is being peddled on illicit marketplaces. But what does the future hold for AI in cybersecurity? Here's what they had to say.


How AI Will Impact Information Security Into the Future - The VoIP Report

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A Narrative Science survey found that 38 percent of enterprises are already using AI, growing to 62 percent by 2018, with Forrester Research predicting a 300 percent year-on-year increase in AI investment this year. AI is clearly here to stay.