Stay Ahead of Cybercrime:

Transcription

1 Stay Ahead of Cybercrime: AI, Machine Learning and Other Advanced Technologies Vanson Bourne and Juniper Networks

2 Contents Introduction 3 Scope of research and methodology 3 Summary of key findings 4 The ever-changing threat landscape 5 Concerns around security 5 Pain points 6 Are your tools performing? 8 Promises and pitfalls 8 Investing wisely? 8 Future combat 10 What to protect and how to protect it 10 AI/machine learning in cybersecurity 10 Conclusion 12 Juniper recommendations 12 2 Stay Ahead of Cybercrime: AI, Machine Learning and Other Advanced Technologies

3 Introduction Cybercrime is tumultuous and stealthy the only element of this landscape that is stable, is that it is unstable, unpredictable and ever-changing. However, defining and describing this relatively new form of crime is the easy part, whereas preventing it is a completely different ball game altogether. It often feels like a game that can never be won. The extremely lucrative nature of cybercrime is too good to ignore for cybercriminals and for that reason it will be a permanent thorn in the side of security professionals. The threats out there are complex, varied and wide-ranging from phishing and ransomware to advanced persistent threats and DDoS attacks. Add to this the necessities of modern day technology such as migrating to the cloud and the Internet of Things (IoT), both of which can open up additional points of entry if not secured correctly, and an increasingly desperate picture is painted for organizations trying to protect their business and ultimately their customers data. The forecast might be bleak for organizations, but for would-be cyber attackers there is an appealing and prosperous opportunity on the table, and for this very reason it is unsurprising that Gartner expects worldwide spending on information security to reach $90 billion in 2017 an increase of 7.6% over 2016, with spending set to top $113 billion by In reality, organizations cannot prevent cybercriminals from attacking them, but they can control how successful these attacks end up being. In this paper we explore exactly how businesses can do this by looking into how security and IT professionals have invested and plan to invest in security tools such as artificial intelligence (AI), and machine learning, as well as getting a better understanding of the pain points that are driving these strategies. Scope of research and methodology Juniper commissioned independent market research specialist Vanson Bourne to undertake the research upon which this whitepaper is based. A total of 400 IT and security professionals with responsibility for, and involvement with, information security in their organization were interviewed in June All respondents came from organizations with 500 or more employees, across a range of private and public sectors. The research was carried out in six countries, with the interviews split in the following way: Country US 100 China 100 UK 50 France 50 Germany 50 Japan 50 Number of interviews The research aimed to identify, assess and investigate the following: The top cyber security threats and pain points organizations are experiencing How these threats and pain points have changed and are predicted to change The current cybersecurity tools and solutions that organizations are using and whether these are fit for purpose Previous and predicted investment in security technologies Desirable cybersecurity features and whether AI or machine learning are on the radar with regard to cybersecurity tools 3 Stay Ahead of Cybercrime: AI, Machine Learning and Other Advanced Technologies

4 Summary of key findings The ever-evolving threat landscape is an ever-increasing concern for organizations Data loss (71%), phishing (59%) and ransomware (55%) are the most commonly reported major security concerns Respondents forecast that their organization will be much more concerned about ransomware (43%) and advanced persistent threats (41%) in three years time Three quarters (75%) agree that the 24/7 always on nature of cybercrime puts a great strain on security personnel Cybercrime developing much faster than security tools (42%), IoT increasing the risk of a breach (37%), and cloud and virtualization trends (35%) are set to be main pain points for organizations in three years time AI/machine learning are expected to play a pivotal role in cybersecurity tools of the future, among other important features Approaching nine in ten (87%) agree that cybersecurity tools with AI/machine learning capabilities would be of great benefit to their organization Expected benefits of investment in cybersecurity tools with AI/machine learning capabilities include quicker threat detection (62%) and greater protection from advanced threats (52%) Over eight in ten (82%) respondents believe that their organization would be extremely willing or somewhat interested in relinquishing control of cybersecurity to AI/machine learning technologies Investment in cybersecurity technology is set to rise in order to combat cybercrime Only 31% of respondents believe that the cybersecurity solution(s) used within their organization have done exactly what they promised to do when they were purchased Next-generation firewalls are set to see an average investment of $717,729 over the next three years, compared to $553,050 over the past three years, on average this is a 30% predicted increase in investment Similarly, spending on user behavior analytics is forecast to increase substantially (30% growth) on average, $496,449 was spent over the past three years, whereas predicted spending is set to reach $647,309 over the next three years, on average Approaching nine in ten (86%) believe that if their organization were to use an end-to-end solution then they would be much more secure than they currently are 4 Stay Ahead of Cybercrime: AI, Machine Learning and Other Advanced Technologies

5 The ever-changing threat landscape Concerns around security There is no denying that organizations are under attack from all angles. Currently, data loss is considered to be the most critical security concern by just over seven in ten (71%) respondents organizations. that the negative media attention surrounding this attack has caused increased concerns about security effectiveness among the decision makers in their organization. You could be forgiven for thinking that in the aftermath of an attack on such a global scale, and businesses being on red alert, that organizations have never been safer, but unfortunately it is not that simple. Major security concerns Data loss Phishing Ransomware Careless employees Advanced persistent threats Malicious web pages DDoS attacks Cloud migration Poor threat visibility IoT BYOD Social engineering 34% 29% 26% 25% 22% 48% 47% 44% 59% 55% 55% 71% Figure 1: Which of the following are currently considered major security concerns by your organization? asked to all respondents (400) The theft of data is often a key target of cybercriminals with fraud and extortion being prominent endgames. But how are cyber attackers getting hold of this data? Approaching three in five respondents report phishing (59%) and ransomware (55%) as major security concerns for their organization, both of which utilize different methods of cyber warfare. The widely documented global ransomware attack in May, named WannaCry, is likely to have played a part in such high levels of concern regarding ransomware and 79% of those surveyed admit The negative media attention surrounding the global ransomware attack on Friday 12th May 2017 has caused major concerns about our security effectiveness among the decision makers in my organization Admit 79% of those surveyed If anything has been learnt from the WannaCry attack, it should be to expect the unexpected. However, this mantra alone will not be enough to protect sensitive data. Concern levels in respondents organizations have been on the rise over the past three years. To emphasize this, of respondents whose organization currently considers ransomware a major security concern, more than two thirds (68%) report that they are much more concerned now than they were three years ago. Rapid advancements in technology including the adoption of IoT provide an abundance of new opportunities for cybercriminals to exploit. Just under a third (31%) of organizations have already invested in IoT devices/technologies, while a larger proportion (59%) are planning to invest. With the addition of new devices to the network, a multitude of new end points that can provide access to sensitive data are now available, meaning that the chance of an attack being successful increases substantially. This certainly seems like a fair justification for the increased levels of concern in these organizations with 61% of respondents stating that their organization is 5 Stay Ahead of Cybercrime: AI, Machine Learning and Other Advanced Technologies

6 much more concerned about IoT now, than they were three years previous. However, the story does not end there it seems as though organizations are bracing themselves for the situation to get far worse before it will get any better. At least four in ten respondents forecast that their organization will be much more concerned about ransomware (43%), advanced persistent threats (41%) and data loss (40%) in three years time, while 35% report the same regarding IoT. If nothing else, this demonstrates the changeable nature of the threat landscape even though ransomware is currently and will continue to be a prominent threat, advanced persistent threats are predicted to be of great concern in years to come, while data loss is also going to continue to be a thorn in the side of organizations, all superseding IoT in terms of concern levels. This in actual fact is just the tip of the iceberg these threats are all currently known to organizations, and therefore they are already dealing with them, but what about the next IoT? New technology advancements, and the speed at which they occur are potentially the most dangerous threats of all. How can you prepare for what you cannot predict? Security professionals are almost totally in the dark when it comes to what threats will emerge in the coming years with usable insights difficult to come by, and insights that are available often come to light when it is already too late. While technology advancements have undeniably benefitted the world in so many ways they also undeniably provide unprecedented and unpredictable risks that most could never have even dreamed about. Pain points The volatile state of the cybercrime landscape with its expansive variety of threats taking aim at today s organizations, results in an equally deep list of pain points for security professionals to deal with. It stands to reason that these pain points are intrinsically linked to the threat landscape, and it leaves IT and security professionals trying to perform a juggling act in order to maintain a stable and secure environment for their organization. regard to cybersecurity three years ago were a lack of visibility into threats (47%), a skills shortage within the organization (46%) and too many holes in their cybersecurity (46%). However, while organizations were focusing on improving their threat visibility, training their employees to the requisite level and plugging gaps in their cybersecurity solutions, it now seems to be evident that they were one step behind the rapidly changing nature of the monumental challenge that they face. Pain points past, present and future Cybercrime develops much faster than security tools IoT increasing the risk of a breach Skills shortage within the organization Lack of visibility into threats Cloud and virtualization trends Too many holes in our cybersecurity Compliance Data sovereignty currently? in three years' time? 23% 20% 13% 29% 36% 35% 26% 25% 17% 22% 34% 32% 28% 20% 37% 35% 26% 29% 26% 43% 42% 46% three years ago? 47% 46% Figure 2: In your opinion, what do you believe were/are/will be the main pain points for your organization with regards to cybersecurity asked to all respondents (400) Much like the threat landscape, the pain points that organizations are experiencing change from one year to the next the three most common pain points for respondents organizations with 6 Stay Ahead of Cybercrime: AI, Machine Learning and Other Advanced Technologies

7 This is illustrated by the pain points that are now troubling them, with the new top three consisting of cybercrime developing much faster than security tools (43%), IoT increasing the risk of a breach (36%) and a skills shortage within the organization (35%). The only constant in these pain points is the lack of skills within organizations to deal with the advancements in cybercrime. This is worrying, yet unsurprising when considering the other issues cited with cybercrime developing at such a rate and new technologies developing, how can security professionals and their colleagues be expected to have the necessary skills to combat such complex and changeable threats? The pain does not end there, with the top three pain points forecast to change again, this time not as dramatically but arguably just as dangerously. The top three still contains cybercrime developing faster than security tools (42%) and IoT increasing the risk of a breach (37%), but now also includes cloud and virtualization trends (35%). More and more organizations are starting to migrate towards some form of cloud environment, and there are many perceived benefits of doing so, but as with IoT, the use of relatively new and advanced technology can cause as many problems as it solves. Organizations must find a more proactive way of combatting the threats and pain points that are troubling them. Historically and currently they have been on the back foot with regard to cybersecurity, but this reactive method cannot continue into the future and will have to change if they are to have any chance of effectively protecting their businesses and their customers personal information. threat detection and remediation among security buyers in their organization. However, it is important to note that compliance alone does not and cannot protect organizations from being breached. And so the juggling act that is cybersecurity continues. Ever-changing threats, combined with a raft of new technologies to implement and secure effectively, topped with a host of compliance and data sovereignty issues does not make for an enviable job description. If ever there was a time for a cybersecurity tool that can combat threats effectively and ease the pressure on decision makers with regard to regulatory compliance, then that time is now. Interesting country and sector differences Respondents from organizations in China most commonly (81%) report data loss as a major security concern respondents from organizations in Germany are the least likely (56%) to report the same. The average across all organizations is 71% Financial services respondents are least likely (30%) to believe that cybercrime developing much faster than security tools will be a pain point for their organization in three years time, but are the most likely (48%) to consider cloud and virtualization trends to be a pain point over the same timeframe the averages across all organizations for these two pain points are 42% and 35% respectively The top three pain points over each of the mentioned time periods are not the only concerns that should be on the radar for these organizations. Compliance with new regulations such as the impending EU General Data Protection Regulation (EU GDPR), and the data sovereignty issues that run hand in hand with this are now more crucial than ever to be aware of. The fines and sanctions that could be imposed as a result of non-compliance with the EU GDPR could quite conceivably cripple any organization that dares to put off updating their policies and procedures to fall in line with the regulations. This helps to provide a concrete explanation for why more than a quarter of those surveyed believe that compliance (29%) and data sovereignty (26%) will be main pain points for their organization in three years time. Further to this, 68% agree that policy enforcement sometimes takes priority over 7 Stay Ahead of Cybercrime: AI, Machine Learning and Other Advanced Technologies

8 Are your tools performing? Promises and pitfalls Arguably, cybersecurity vendors provide one of the most important services in the technology world today without these vendors all of our personal information would be exposed and within reach of even the most amateur of cybercriminals. The work of such vendors is clearly not an easy one, but judging by the attitudes and opinions of surveyed IT security professionals, it is not work that is being done all that effectively. As a result of the sheer number of threats that can harm organizations it is easy to understand why security buyers might have panicked and purchased multiple cybersecurity tools in order to find a solution to the problems that they face. However, it seems that respondents are feeling let down by their organization s purchases with 60% agreeing that as a result of scaremongering regarding the number of threats that can harm their network they have purchased multiple tools that do not work to their full capabilities. Furthermore, more than half (54%) report that some of the security tools that their organization has purchased have not done what they expected them to. Cybersecurity tools not working to their full capabilities has to be a huge concern for organizations, regardless of whether the purchases were spur of the moment or ill informed. Any tool that does not work to the desired level can leave a hole in the network which could be exploited, especially when considering the fluidity with which cyber threats vary and the speed at which cybercrime develops. It is no wonder that concern is widespread across numerous threats, but cybersecurity vendors must do better to help their clients tackle this problem head on. Less than a third (31%) of respondents report that the cybersecurity solution(s) used within their organization have done exactly what they promised to do upon purchase. These types of broken promises are infuriating in the consumer world when buying comparatively cheap products, but when the vast amounts of money that organizations have spent on cybersecurity tools is taken into consideration then the situation becomes even more disappointing. Organizations think that they are purchasing a tool that will solve their cybersecurity difficulties, but in actual fact they are throwing money at a problem and not seeing the desired outcomes, and ultimately leaving themselves exposed. Investing wisely? The money that has been spent on security technologies over the past three years by respondents organizations is staggering, especially when taking into account the opinions towards some of the tools that have been purchased value for money is certainly not a phrase that could be used to describe these investments judging by the attitudes outlined. However, the rapid pace of change in the threat landscape and general advancements in technology necessitate action being taken, and for organizations this often means spending money to alleviate the problem. On average, $590,175 has been spent on intrusion detection and prevention systems over the past three years by respondents organizations. In addition, average spending on four other different types of security technology has exceeded $500,000 in the past three years. Organizations have clearly purchased multiple different tools in order to protect themselves from the variety of different threats and attack vectors aiming to harm them, and what is also clear is that they have not been overly successful with these purchases. Yet again, the problem of cybercrime developing faster than security tools rears its ugly head. As soon as security buyers think that they have prevented one threat, another one pops up, posing an entirely different challenge and requiring further investment in a different tool. Over the next three years these levels of investment in security technologies are predicted to increase or at the very least continue at the same rate. Next-generation firewalls are forecast to see an average investment of $717,729 over the next three years, a 30% increase on the $553,050 that was spent over the past three years, on average. This increase is quite probably a direct result of the vast range of threats that are looking to enter the network via any possible end point at all levels of the organization. Previously perimeter security was deemed sufficient to protect the network, but with the evolution of more advanced threats and cyber 8 Stay Ahead of Cybercrime: AI, Machine Learning and Other Advanced Technologies

9 warfare, it is now just as important, if not more important to secure the organization at the application layer as well. Another type of security technology predicted to witness an increase in spending of 30%, on average, is user behavior analytics. Over the past three years $496,449 was spent on this type of technology, on average, compared to the average predicted investment of $647,309 over the coming three years. This more advanced form of security that looks at patterns of human behavior by applying algorithms and statistical analysis in order to identify anomalies that can predict threats, is likely to be a reaction to the need to take a more proactive and predictive approach to cybersecurity. Predicted security technology investment Increasing investment 30% Figure 4: Analysis showing the average forecast growth in investment in both next-generation firewalls and user behavior analytics, from the past three years to the next three years, asked to all respondents (400) A vicious never ending circle is being created whereby organizations have to invest in new technologies to keep pace with the external technology environment, which is creating problems that can seemingly only be solved by further investment in new security technologies many of which are one step behind the threats they are trying to vanquish. Next-generation firewalls SIEM User behavior analytics Network access control Authentication and authorization Advanced anti-malware Intrusion detection and prevention systems Microsegmentation $717,729 $656,565 $647,309 $640,435 $615,583 $608,309 $584,138 $557,939 There is currently no one size fits all solution, but there appears to be a requirement for a holistic approach which can incorporate a number of different solutions in order to cover off the wide variety of threats and fast moving nature of cybercrime. The vast majority of respondents seem to be of a similar view, with approaching nine in ten (86%) agreeing that if their organization were to use an end-to-end solution then they would be much more secure than they currently are. Critical requirements of a cybersecurity solution include features such as threat analytics and intelligence, enhanced and rapid attack detection, automated policy enforcement, and improved visibility into all areas of the network in order to not only prevent threats from invading at various end points, but also to stop threats borne inside the network from moving laterally. CASBs $537,579 Figure 3: Analysis showing the average predicted spend by respondents organizations on the above security technologies over the next three years, asked to all respondents (400) Interesting country and sector differences In the UK, 62% of respondents believe that an end-to-end solution would make their organization much more secure than it currently is this is substantially below the average (86%), but still a majority that have this belief Respondents from the energy, oil/gas and utilities sector are the most likely to agree that some of the security tools their organization has purchased have not done what they expected them to (64%), compared to the average of 54% 9 Stay Ahead of Cybercrime: AI, Machine Learning and Other Advanced Technologies

10 Future combat What to protect and how to protect it Protecting corporate information and the sensitive information of both customers and employees are clearly key priorities when implementing cybersecurity solutions. These priorities have perhaps never been more important, especially in regard to the severe business implications that can result from one slip up. This is not only in reference to the short and long term brand implications that will inevitably result from suffering a serious breach, but also relevant to compliance and data sovereignty issues previously discussed regarding the EU GDPR. The fines, sanctions and legal battles would be detrimental to even the largest organizations. Stemming from the fear of these repercussions it is perfectly clear why more than half (54%) of respondents report that the personally identifiable information (PII) of their customers is among the top three types of information that are most important for their organization to protect. Customer bank details (38%) and PII of employees (38%) are also cited as being very important. In light of recent high profile breaches, customer data is clearly being prioritized as crucial for organizations to keep safe. However, yet again this seems to be more of a reaction to events after it is too late, or at very best forward planning to ensure compliance with impending regulations. It is a step in the right direction nonetheless. But what is actually going to be necessary in order to protect company and customer data moving forward? There is a clear need for speed and automation in cybersecurity technologies of the future around four in ten respondents cite greater speed of threat detection (44%), automated threat remediation (41%) and advanced threat detection (37%) as features that they would like to see in tools that their organization will purchase in the future. Organizations are searching for a reliable way to combat the complexity of the threats that they face and the speed with which these threats can move through the organization. The quicker a threat can be detected, the quicker the issue can be resolved. Organizations must not only be prepared to detect and resolve known threats quickly, they must also strengthen their defenses against unknown, zero day threats. Outside of possessing a crystal ball to see into the future, security and IT professionals prize cybersecurity tools that feature AI/machine learning capabilities (36%) and advanced analytics (35%) for this purpose. The desire for advanced threat intelligence and smart adaptive security tools are emphasized by these data points and vendors must find a way of producing tools that can provide the insight needed to help security professionals better predict attacks before they occur and quickly identify never before seen threats. Driving the need for these features and capabilities is once again the rapid advancements in technology and pace with which cybercrime develops. AI/machine learning in cybersecurity There is a need to tackle the always on nature of cybercrime that 75% of respondents believe puts a great strain on security personnel. A form of technology that is always on is now required. Step forward AI. As seen, 36% of respondents report AI/machine learning capabilities as a feature that they would like to see in cybersecurity tools that their organization purchases in the future. Not only that, but over eight in ten (82%) believe that their organization would be extremely willing or at the very least somewhat interested in relinquishing control of cybersecurity to AI/machine learning technologies. This shows a high degree of trust in this relatively new type of technology and a clear understanding of the benefits that it can bring among IT security professionals. 10 Stay Ahead of Cybercrime: AI, Machine Learning and Other Advanced Technologies

11 Benefits of cybersecurity tools with AI/machine learning capabilities Quicker threat detection 62% The positive attitudes of IT security professionals are further amplified by the 87% who agree that cybersecurity tools with AI/machine learning capabilities would be of great benefit to their organization. Surely this is enough evidence showing that AI has a future in the world of cybersecurity with speed and automation at the top of the wish list for future tools, AI can provide the answer. Better risk identification 53% Greater protection from advanced threats Better protection from insider threats Greater visibility into all areas of our network Employees have more time to focus on tasks that require human intelligence Better integration with other tools More useful output information 42% 41% 36% 34% 29% 52% Figure 5: Do you believe that your organization would see any of the following benefits if they were to invest in a cybersecurity tool with artificial intelligence/machine learning capabilities? asked to all respondents (400) Cybersecurity tools with artificial intelligence/ machine learning capabilities would be of great benefit to my organization Agree 87% of respondents Interesting country and sector differences In Japan the desire for AI/machine learning tools to be utilized appears to be slightly lower (76%) than the overall average (87%) - but this is still a large majority who believe that such tools would be of great benefit to their organization The desire for a greater speed of threat detection is most prevalent among organizations from France (50%) and those from the manufacturing and production sector (50%) the average across all organizations is 44% These benefits are wide ranging and can help to solve the cybersecurity woes that organizations have been experiencing over the past few years. Quicker threat detection (62%), better risk identification (53%), and greater protection from advanced threats (52%) are all regularly cited by respondents as benefits that they would expect to see as a result of implementing a tool with AI/machine learning capabilities. All of which tie in with the desirable features that they would like to see in future cybersecurity purchases. The connection is there for all to see surely AI can solve the problems of the past, present and future by using advanced features to prevent potential threats from getting hold of sensitive information and critically damaging organizations. 11 Stay Ahead of Cybercrime: AI, Machine Learning and Other Advanced Technologies

12 Conclusion Cybercrime is a problem that has been troubling organizations worldwide for many years, and cybercriminals are only increasing their efforts and investment in future exploits. It develops at such a speed that the cybersecurity tools aiming to prevent its success have been left trailing cybercrime is a 24/7 business and is always mutating into a new, more aggressive form. The trend of cybersecurity tools being one step behind their adversaries has left organizations at continuous risk of being breached and solutions failing to deliver on their promises leave organizations suspended in a state of thinking that they have all bases covered when in actual fact the threats are entering through the back door. There are a wide variety of security technologies for organizations to choose from, but previous investments have not necessarily worked out and it now seems clear that no single type of technology will be able to prevent the effectiveness of complex cyber-attacks. A cybersecurity solution leveraging all of the best capabilities from the array of available technologies must be the way forward. What is obvious is that time is of the essence threats move fast, security solutions must move faster. In order to effectively protect sensitive data and the network, the ability to detect a threat quickly is of utmost importance. Tools that utilize the capabilities of AI/machine learning technologies must be on the radar this technology can not only detect threats quickly, but can also protect against advanced unknown threats, provide enhanced visibility, take pressure off of employees and ultimately defend the most valuable information contained on the network. Juniper recommendations Cybercriminals are continuously inventing ingenious and ever more damaging attack strategies to breach business defenses. And their payout has proven lucrative with cybercrime expected to become a $2.1 trillion business by Simultaneously, advancing technologies such as IoT and cloud, while opening the door for business opportunities and efficiencies, are vastly expanding the attack surface. The current strategy of piecing together a multitude of individual security tools can leave gaps in defenses and create a complex environment that puts more pressure on already overloaded security teams. In order to protect the business and pave the way for innovation, security professionals must take a new approach that is unified, automated, intelligent and consistent across any environment. Unified A successful security strategy will embrace a unified approach, harnessing every network asset into a seamless cyber defense system. A unified security platform offers an all knowing, all seeing methodology with protection woven into the fabric of the network enabling the detection of internal and external threats. Adoption of a unified strategy also provides a single point of visibility, management and reporting to strengthen your defense posture while simplifying your security environment Automated Time is of the essence and when a breach occurs every second counts. To meet these time demands security processes including policy management, enforcement and remediation must be automated as much as possible. Automating these processes will significantly reduce the time line for stopping threats on your network Intelligent The dizzying speed at which cybercrime moves is the most critical pain point for security professionals. How do you stay ahead of these deep pocketed cybercriminals with their always on attack strategies? The answer implement smart security defenses that leverage advanced machine learning and provide near real time 12 Stay Ahead of Cybercrime: AI, Machine Learning and Other Advanced Technologies

13 threat data on all the traffic traversing your network. A security platform with embedded machine learning will automatically adapt as threats evolve, fortifying your defenses against never before seen attacks. Threat intelligence gives your security team insight on anomalies and the ability to identify when a threat is likely to occur Consistent More and more enterprises are building their business on diverse network architecture. According to an August 2017 study by Tech Pro Research 36% of companies have adopted a hybrid cloud strategy and 37% were in the process of evaluating hybrid cloud adoption. These diverse environments demand a simplified and unified security approach that provides consistent protection across locations, clouds and things 13 Stay Ahead of Cybercrime: AI, Machine Learning and Other Advanced Technologies

14 About Juniper: Juniper Networks Software-Defined Secure Networks or SDSN is a truly unified security platform which harnesses every element of your network into a single defense system that delivers fast, effective protection from advanced, unknown, and persistent threats across any cloud and any location. With security protections built in, every device in your network becomes a defense point. Fueled by machine learning, and near real time threat intelligence, SDSN quickly stops cyberattacks and adapts to protect your people, data and infrastructure so you can focus on building business success. About Vanson Bourne: Vanson Bourne is an independent specialist in market research for the technology sector. Their reputation for robust and credible research-based analysis, is founded upon rigorous research principles and their ability to seek the opinions of senior decision makers across technical and business functions, in all business sectors and all major markets. For more information, visit