artificial intelligence

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Published By: BlackBerry Cylance     Published Date: Jul 02, 2018
Artificial intelligence (AI) seems to be on everyone’s mind. It powers natural language recognition within voice-powered assistants like Siri and Alexa, beats world-class Go players, and enables hyper-targeted e-commerce and content recommendations across the web, as we see with Amazon and Netflix. But recently, AI has begun actively expanding its footprint within the enterprise. Executives are trying to more fully comprehend what AI is and how they can use its insights into their data to better capitalize on business opportunities. This additional information can enable engaging with customers more productively and efficiently, forming an edge against the competition. Read more in our AI survey summary.
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artificial, intelligence, enterprise
    
BlackBerry Cylance
Published By: BlackBerry Cylance     Published Date: Jul 02, 2018
SE Labs tested CylancePROTECT® in an offline environment against major threats that subsequently appeared in the wild. The test explores the product’s ability to prevent new threats from attacking endpoint systems successfully. CylancePROTECT contains technology designed to identify and block malware using what it claims to be an “artificial intelligence” (AI) model. This model can be updated over time. However, in this test we used the model created in May 2015 and did not permit further updates so that the software was unable to receive new models or edit the existing one. The test exposed systems protected by this older version of CylancePROTECT to very impactful threats discovered and reported widely after May 2015. In this way, the test shows to what extent the product was able to predict how future threats would appear. This “Predictive Advantage” (PA), the advantage that users of the product have against future adversaries, is presented in this report.
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malware, predictive, test, response
    
BlackBerry Cylance
Published By: BlackBerry Cylance     Published Date: Jul 02, 2018
The information security world is rich with information. From reviewing logs to analyzing malware, information is everywhere and in vast quantities, more than the workforce can cover. Artificial intelligence (AI) is a field of study that is adept at applying intelligence to vast amounts of data and deriving meaningful results. In this book, we will cover machine learning techniques in practical situations to improve your ability to thrive in a data driven world. With clustering, we will explore grouping items and identifying anomalies. With classification, we’ll cover how to train a model to distinguish between classes of inputs. In probability, we’ll answer the question “What are the odds?” and make use of the results. With deep learning, we’ll dive into the powerful biology inspired realms of AI that power some of the most effective methods in machine learning today. Learn more about AI in this eBook.
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artificial, intelligence, enterprise
    
BlackBerry Cylance
Published By: BlackBerry Cylance     Published Date: Jul 02, 2018
How did you choose your anti-malware solution? Did you put it through the same rigorous process as your other security solutions? Or, did you simply renew your current product licensing? Perhaps you went with something you had used at a previous job. Maybe you even went so far as to read a few product reviews and third-party test results or evaluations. But, did you test the anti-malware solution yourself? In this book, we explain how artificial intelligence (AI) can help your enterprise combat malware threats in a more preventative, proactive, and radically better way than legacy anti-malware products. We explain why you shouldn't just believe a vendor's marketing. Instead, you should test different solutions for yourself, just as you would with any other major security investment. Read more in this eBook.
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anti, malware, testing, generation, data, security
    
BlackBerry Cylance
Published By: BlackBerry Cylance     Published Date: Jul 02, 2018
VolitionRx Limited is a multi-national company which develops new ways to detect cancer. Their ideal product needed to be reliable, efficient, and easily manageable for their modestly-sized IT department. Additionally, the solution had to be readily deployable to their operations in four separate countries. According to Daniel Halter, Group IT Manager at Volition, traditional antivirus vendors were “offering the same old solution only slightly jazzier. The model they were offering, although new, was and is the same thing that has been around for a while.” Daniel also stated that Volition had little time to determine which vendors are “selling the truth and which ones are selling the dreams.” Seeking an ideal match, Daniel reached out to Khipu Networks for their security recommendation. Khipu Networks suggested CylancePROTECT®, Cylance’s artificial intelligence endpoint security product. Read the full case study to learn about the results Cylance was able to deliver.
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volitionrx, cyber, security, data
    
BlackBerry Cylance
Published By: BlackBerry Cylance     Published Date: Jul 02, 2018
Forrester Consulting was commissioned to conduct a Total Economic Impact™ (TEI) study to examine the potential return on investment (ROI) enterprises may realize by deploying Cylance's advanced threat protection solution, CylancePROTECT®, and its deployment and configuration services, ThreatZero™. The study aims to provide readers with a framework to evaluate the potential financial impact of CylancePROTECT and ThreatZero on their organizations, which will improve customer success with advanced cybersecurity and antivirus protection solutions. To better understand the benefits, costs, and risks associated with an investment in Cylance, Forrester interviewed the Chief Information Security Officer for a Large State County Government, who has used the solutions for over a year. Cylance provides a new-generation, predictive, cybersecurity, and malware prevention solution that leverages artificial intelligence to prevent malware from executing on endpoints in real time. This is usually implemented with ThreatZero, which is a continuous professional service program rendered by Cylance for users of CylancePROTECT. ThreatZero guides through the planning, implementation, integration, and ongoing optimization of the solution. This often includes end user education, training, and support to totally eliminate endpoint threats and incidents. With CylancePROTECT and ThreatZero, the organization was able to reduce security breaches to almost zero, catching malware before it ever gained access to public records. Relative to their previous endpoint protection, this significantly reduced costs from remediation/reimaging and incidence response. Additionally, IT and security employees’ productivity were boosted. Read more in the full TEI report.
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economic, cylance, roi, enterprises
    
BlackBerry Cylance
Published By: BlackBerry Cylance     Published Date: Jul 02, 2018
Artificial intelligence (AI) technologies are rapidly moving beyond the realms of academia and speculative fiction to enter the commercial mainstream, with innovative products that utilize AI transforming how we access and leverage information. AI is also becoming strategically important to national defense and in securing our critical financial, energy, intelligence, and communications infrastructures against state-sponsored cyberattacks. According to an October 2016 report issued by the federal government’s National Science and Technology Council Committee on Technology (NSTCC), “AI has important applications in cybersecurity, and is expected to play an increasing role for both defensive and offensive cyber measures.” Based on this projection, the NSTCC has issued a National Artificial Intelligence Research and Development Strategic Plan to guide federally-funded research and development. The era of AI has most definitely arrived, but many still don’t understand the basics of this im
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artificial, intelligence, cybersecurity, machine
    
BlackBerry Cylance
Published By: BlackBerry Cylance     Published Date: Jul 02, 2018
The 21st century marks the rise of artificial intelligence (AI) and machine learning capabilities for mass consumption. A staggering surge of machine learning has been applied for myriad of uses — from self-driving cars to curing cancer. AI and machine learning have only recently entered the world of cybersecurity, but it’s occurring just in time. According to Gartner Research, the total market for all security will surpass $100B in 2019. Companies are looking to spend on innovation to secure against cyberthreats. As a result, more tech startups today tout AI to secure funding; and more established vendors now claim to embed machine learning in their products. Yet, the hype around AI and machine learning — what they are and how they work — has created confusion in the marketplace. How do you make sense of the claims? Can you test for yourself to know the truth? Cylance leads the cybersecurity world of AI. The company spearheaded an innovation revolution by replacing legacy antivirus software with predictive, preventative solutions and services that protect the endpoint — and the organization. Cylance stops zero-day threats and the most sophisticated known and unknown attacks. Read more in this analytical white paper.
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cylance, endpoint, protection, cyber, security
    
BlackBerry Cylance
Published By: BlackBerry Cylance     Published Date: Jul 02, 2018
Fileless attacks surged in 2017, largely due to their ability to bypass traditional antivirus solutions. Last year was host to several fileless malware victories. OceanLotus Group infiltrated Asian corporations during Operation Cobalt Kitty, and conducted nearly six months of fileless operations before detection. Ransomware hall-of-famers Petya and WannaCry both implemented fileless techniques in their kill chains. Every major player in information security agrees that fileless attacks are difficult to stop, and the threats are growing worse. Abandoning files is a logical and tactical response to traditional AV solutions which have overcommitted to file-intensive and signature-based blacklists. What can security solutions offer when there are no infected files to detect? How will a blacklist stop an aggressor that only uses legitimate system resources? The security landscape is changing and the divide between traditional AV products and next-generation security solutions is growing wider by the day. Cylance® has built a reputation on security driven by artificial intelligence and provides a frontline defense against fileless malware. This document details how Cylance protects organizations.
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malware, predictive, test, response
    
BlackBerry Cylance
Published By: BlackBerry Cylance     Published Date: Aug 22, 2018
Artificial intelligence (AI) is a security industry term that is now so broadly and loosely applied, it's become almost meaningless. Now that every product boasts AI capabilities, security decision makers are becoming cynical, even in the face of the most exciting innovation shaping cybersecurity today.
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security, solutions, industry, artificial, intelligence
    
BlackBerry Cylance
Published By: BlackBerry Cylance     Published Date: Mar 12, 2019
Artificial intelligence (AI) has become a security industry buzzword so broadly applied as to become almost meaningless. When every product boasts AI capabilities, security decision makers may quickly become cynical, even in the face of the most exciting innovation shaping cybersecurity today.
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BlackBerry Cylance
Published By: BlackBerry Cylance     Published Date: Apr 15, 2019
Artificial intelligence (AI) leads the charge in the current wave of digital transformation underway at many global companies. Organizations large and small are actively expanding their AI footprints as executives try to comprehend more fully what AI is and how they can use it to capitalize on business opportunities by gaining insight to the data they collect that enables them to engage with customers and hone a competitive edge. But, while AI may indeed be the frontier of enterprise technology, there remain many misconceptions about it. Part of the confusion stems from the fact that AI is an umbrella term that covers a range of technologies — including machine learning, computer vision, natural language processing, deep learning, and more — that are in various stages of development and deployment. The use of AI for dynamic pricing and targeted marketing has been in use for a while, but actual AI computing where machines think like humans is still many years from becoming mainstream. T
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BlackBerry Cylance
Published By: BlackBerry Cylance     Published Date: Apr 26, 2019
The concept of artificial intelligence (AI) has been with us since the term was coined for the Dartmouth Summer Research Project on Artificial Intelligence in 1956. Today, while general AI strives for full cognitive abilities, there is a narrower scope—this better-defined AI is the domain of machine learning (ML) and other algorithm-driven solutions where cybersecurity has embraced AI. SANS recently conducted a survey of professionals working or active in cybersecurity, and involved with or interested in the use of AI for improving the security posture of their organization. Read their report to learn their survey findings, conclusions, and recommended considerations.
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BlackBerry Cylance
Published By: BMC ASEAN     Published Date: Dec 18, 2018
From the impact of disruptive technologies to the imperative of digital transformation, businesses today must find new ways to innovate or risk being left behind. While data flowing rapidly between the Internet of Things and multi-cloud computing environments brings tremendous opportunity, there’s also a great deal of complexity. Artificial intelligence (AI) and machine learning (ML) are part of the new wave of solutions capturing the minds of enterprise leaders to respond to these new opportunities and complexities. Digitally literate leaders who are highly cognizant of this wave, are jumping in headfirst and applying AI and ML to solve real business challenges—making enterprise goals of enabling cost savings via smarter operations and decision making come to fruition. BMC Cognitive Service Management (CSM) addresses the complexities of multi-cloud computing by applying intelligence, automation, and predictive capabilities. CSM employs a differentiated approach with a more holistic
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BMC ASEAN
Published By: BMC ASEAN     Published Date: Dec 18, 2018
Digital transformation encompasses both technological and human components. While many initiatives focus on ensuring that a company’s multi-cloud infrastructure is agile enough to meet changing demands around cloud mobile, Internet of Things (IoT), and big data, it’s equally important to empower business workers with the modern digital tools they need to be successful today. Artificial intelligence and machine learning can play a vital role on both of these fronts. In fact, 78 percent of CIOs and senior IT leaders are already looking to AI to address complexity,1 and by 2019, 30 percent of IT service desks will utilize machine learning to free up support capacity.2 The magnitude of change has forced companies to take stock of the experience they offer employees. As digital natives3 enter and advance in the workforce, talent retention is now a top priority. These workers expect to have the best tools; 93 percent of millennials cited modern and up-to-date technology as one of the most
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BMC ASEAN
Published By: BMC ASEAN     Published Date: Dec 18, 2018
The business world is entering an age of the digital “haves” and the digital “have-nots.” In fact, research firm Forrester anticipates a growing “digital crisis” in its 2018 predictions, noting that 60% of CIOs and other executives it surveyed say they’re behind in their digital transformations. Meanwhile, Forrester expects one in five CEOs will fail to act on digital initiatives and put their firms in serious jeopardy as a result. Savvy organizations are embracing cloud, the Internet of Things (IoT), artificial intelligence (AI), and other transformative technologies to solve meaningful business problems and achieve their strategic priorities. Everyone else is getting left behind. Nowhere is this fork-in-the-road moment more apparent than in how enterprise IT teams deliver and manage services, to employees and customers alike.
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BMC ASEAN
Published By: Bronto     Published Date: Jul 10, 2017
Artificial intelligence (AI) is a hot topic in commerce marketing and may be the fastest growing technology trend today. Experts believe AI will have a huge impact on our daily lives, our interactions with one another and the broader economy. A growing number of commerce marketing software providers claim their systems use AI. But it can be difficult to know for sure what that means for your brand and how you can use it to market products and services more effectively to consumers. Does the rise of AI and related technologies signal a sea change in commerce marketing? In a word, yes. Let’s take a closer look at these techniques and how they can boost your marketing efforts and success. We’ll also look at their limitations and the questions you can ask to help you distinguish between marketing hype and tools that can provide value for your business.
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artificial intelligence, commerce marketing, branding
    
Bronto
Published By: Bronto     Published Date: Feb 01, 2018
What you'll learn: • Why batch-and-blast email is losing its effectiveness and the email techniques to replace it. • How techniques like user-generated content and the mining of unstructured data can boost email effectiveness. • What artificial intelligence is offering today – and what it could offer years from now. • How omnichannel merchants can leverage physical locations as part of their online strategy.
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email, omnichannel, retail, ecommerce
    
Bronto
Published By: Bronto     Published Date: May 31, 2018
What you'll learn: • Why batch-and-blast email is losing its effectiveness and the email techniques to replace it. • How techniques like user-generated content and the mining of unstructured data can boost email effectiveness. • What artificial intelligence is offering today – and what it could offer years from now. • How omnichannel merchants can leverage physical locations as part of their online strategy.
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trends, ecommerce, marketing, strategy
    
Bronto
Published By: CA Technologies     Published Date: Jul 20, 2017
e-book which lays out the case for machine learning and artificial intelligence for mainframe operational analytics. The mainframe is now part of a highly complex connected ecosystem driving trillions of mobile and web transactions critical to the functioning of the application economy. The emergence of new workloads and apps on the mainframe means that the status quo isn’t enough when it comes to Mainframe management. IT professionals alone – whether mainframe skilled or not – simply can’t keep up with the onslaught of performance alerts, false alarms. Machine learning deliver mainframe intelligence a more proactive and automated approach to handle this challenge.
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CA Technologies
Published By: CA Technologies EMEA     Published Date: Sep 07, 2018
If you’re relying on manual processes for testing applications, artificial and automated intelligence (AI) and machine learning (ML) can help you build more efficient continuous frameworks for quality delivery. In this on-demand webinar, “Continuous Intelligent Testing: Applying AI and ML to Your Testing Practices,” you’ll learn how to: Use AI and ML as the new, necessary approach for testing intelligent applications. Strategically apply AI and ML to your testing practices. Identify the tangible benefits of continuous intelligent testing. Reduce risk while driving test efficiency and improvement. This webinar offers practical steps to applying AI and ML to your app testing. The speaker, Jeff Scheaffer, is senior vice president and general manager of the Continuous Delivery Business Unit at CA Technologies. His specialties include DevOps, Mobility, Software as a Service (SaaS) and Continuous Delivery (CDCI).
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CA Technologies EMEA
Published By: CA Technologies EMEA     Published Date: Sep 30, 2018
If you’re relying on manual processes for testing applications, artificial and automated intelligence (AI) and machine learning (ML) can help you build more efficient continuous frameworks for quality delivery. In this on-demand webinar, “Continuous Intelligent Testing: Applying AI and ML to Your Testing Practices,” you’ll learn how to: Use AI and ML as the new, necessary approach for testing intelligent applications. Strategically apply AI and ML to your testing practices. Identify the tangible benefits of continuous intelligent testing. Reduce risk while driving test efficiency and improvement. This webinar offers practical steps to applying AI and ML to your app testing. The speaker, Jeff Scheaffer, is senior vice president and general manager of the Continuous Delivery Business Unit at CA Technologies. His specialties include DevOps, Mobility, Software as a Service (SaaS) and Continuous Delivery (CDCI).
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continuous delivery, application delivery, testing, test data management
    
CA Technologies EMEA
Published By: CheckMarx     Published Date: Jun 07, 2019
Artificial Intelligence (AI) software is everywhere being leveraged by many industries such as healthcare, fintech, and e-commerce. But how does AI impact the security space? Join Maty Siman, Checkmarx Founder and CTO, to get both a white hat and black hat perspective to AI and security.
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CheckMarx
Published By: Cisco     Published Date: Dec 20, 2018
Knowledge workers today have a rich portfolio of team collaboration tools to help them get their jobs done, starting with email and encompassing texting, file sharing, online chat and message boards, social media and video conferencing. Yet collaboration across these tools can be a frustrating experience, due to the complexity of the technology and lack of integration. The good news: the application of emerging technologies and artificial intelligence (AI) enables more people to connect when and how they need to. And that makes for more productive teams.
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Cisco
Published By: Cisco     Published Date: Mar 22, 2019
Artificial intelligence (AI) and machine learning (ML) are emerging technologies that will transform organizations faster than ever before. In the digital transformation era, success will be based on using analytics to discover the insights locked in the massive volume of data being generated today. Historically, these insights were discovered through manually intensive data analytics—but the amount of data continues to grow, as does the complexity of data. AI and ML are the latest tools for data scientists, enabling them to refine the data into value faster.
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Cisco
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