Moving beyond the spreadsheet for vendor risk management
In today’s business landscape, many enterprise companies look to third-party vendors to provide them with organizational value and competitive advantage. While outsourcing has always existed in some form, globalization and the internet have caused the use of third-party vendors to increase exponentially. Previously, companies relied on third parties for non-core functions. Today, more and more critical functions are outsourced to find cost savings and efficiencies.
Because third-party vendors are an extension of an organization, businesses are held accountable for things like safety, ethics, business practices, and more. With more at risk than ever before, organizations must ensure third-party partners behave appropriately.
Getting IT & OT to speak the common language of IIoT vulnerability management
Manufacturing executives probably don’t think of renowned Irish playwright George Bernard Shaw when planning Industry 4.0 and Industrial Internet of Things (IIoT) deployments. Maybe they should.
Shaw’s famous quip about England and America being "two countries divided by a common language," captures the differences between corporate IT and production OT, or Operational Technology, departments. While both IT and OT teams are acutely aware of the cybersecurity challenges for successful IIoT implementations, how each department addresses those threats is based on different priorities and requirements.
Will cloud data programs become the future of DataOps?
Within enterprises, legacy platforms are becoming marginalized as modern data-driven platforms become the preferred choice for data teams. Artificial intelligence and machine learning are powerful solutions for big data that are encouraging enterprises to accelerate their digital transformation towards the cloud. It should be no surprise then that, according to Cisco, four percent of workloads will be hosted in cloud data centers by 2021. Despite this, there is some reluctance amongst organizations to build on their data programs with these solutions. Regardless, ignoring the cloud is a critical oversight for enterprises looking to meaningfully analyze the vast quantities of structured, semi-structured or unstructured data within their networks. More concerning, however, is the critical insights that will be overlooked or missed entirely by enterprises relying on legacy software.
The cloud is starting to clearly denote itself as the de facto choice for investment in big data. Canalys estimates that cloud investment will surpass $143 billion by 2020. While Fortune 500 companies have historically been reluctant to dip their toe in the digital transformation pool, there has been a radical shift in attitude in recent years. More than a corporate buzzword, the term 'digital transformation' now carries with it the promise of large ROIs and even larger data pipelines. This has lead to a culture where having large-scale, full production workloads is a tangible reality and not merely a distant goal.
The Hitchhiker's Guide to Ethical AI
In the 1979 cult-fiction novel, The Hitchhiker's Guide to the Galaxy, an enormous super computer named Deep Thought took 7.5 million years to conclude that "The answer to the ultimate question of life, the universe and everything is 42."
He may not have meant it, but what Douglas Adams wrote in 1979 was a portent to why so many questions are being asked about the practical use of AI in business. The recent explosion in AI technology has largely been driven by the availability of large quantities of data, the availability of sufficient computation power and the ever-increasing demand for data analytics to support business strategy. These strategies can be driven by greater efficiency by reducing operating costs or increasing revenue opportunity by improving customer service and product availability.
3 ways IoT will impact our future
The Internet of Things (IoT) industry is growing rapidly with the number of IoT-connected devices projected to surpass 20 billion by 2020. It’s an amazing number, but a number that wouldn’t be possible without the concurrent growth and availability of WiFi and cellular. However, even with all this growth, industry leaders don’t believe existing WiFi and cellular capabilities can keep up with IoT’s trajectory.
Thankfully, a little innovation called 5G is on the way. Offering the technological boost needed to sustain this growth, the imminent arrival of 5G presents valuable opportunities for IoT. Let’s take a look at where IoT is today, and what the future holds.
O&O BrowserPrivacy will securely wipe your browsing history
Browse the internet and you’ll build up an offline database of all the sites you’ve visited, the type of products that interest you and your hobbies and interests. Ads targeting these interests will track you across various websites.
Most modern web browsers can block trackers and enable you to delve into your browsing history and quickly delete the information from your devices. But, has it really been deleted? Any computer expert would be able to retrieve some of this data if necessary.
Hyper personalization is the key to a seamless customer experience
More than two thirds of companies now compete on the basis of customer experience. Customer service is the competitive differentiator, and it is essential now more than ever to maintain brand loyalty and meet business goals. Companies can face losing customers if they don’t keep up with the ever-increasing standard of service expected of them.
Delivering superior service is particularly challenging during spikes in the volume of customer contact. Human agents on their own cannot manage these peaks, let alone deliver a consistent and personalized customer experience. Long call queues and fragmented customer engagement lead to disappointed customers, reputational damage and ultimately financial losses.
Reason Antivirus: When privacy is your priority [Review]
When was the last time you shopped around for a new antivirus? If you're a Windows user and using its latest iteration, you might be quite satisfied with how Windows Defender works. Besides, it comes as default with the operating system and runs unobtrusively in the background, no added setup required.
However, cyberattacks are only growing more rampant and hackers are finding new ways to victimize computer users. And for ordinary users, it's our privacy that's under threat. Hackers look to gain access to our devices to steal data. It's not just our personal and financial information they're after. Hackers are also trying to hack into webcams and microphones hoping to capture anything sensitive and incriminating in order to extort victims.
6 design principles for machine learning anomaly detection systems
Every year, 22 percent of eCommerce customers abandon their shopping carts due to website errors. Every year, insurance companies discharge up to 10 percent of their claims cost on fraudulent claims. Network outages cost up to $5,600 per minute. These and other failures represent anomalies that are detectable by machine learning in ways that human-powered monitoring can’t replicate.
When it comes to deploying a machine learning anomaly detection system, companies have the choice of either purchasing a ready-made system or developing their own. No matter what they choose, however, the resulting system should be based on criteria that account for their company’s size, needs, use cases and available resources. Here are the six principles that companies should pay attention to:
The evolution of Emotet: How to protect your network
With over 350,000 new malware samples emerging every day, it’s difficult for any one strain of malware to make a name for itself. Any single malware sample whose name you know -- be it Mirai, WannaCry, or NotPetya -- speaks to a trail of devastation.
In 2019, people are also hearing another name: Emotet.
Mac users: It's time to wake up and smell the vulnerabilities
Are you one of the millions of Mac users under the impression that your digital security is guaranteed simply due to the fact that you’re using a Mac? Then I’ve got some news for you that you may not want to hear: the popular and long-standing myth that Mac users are immune to security vulnerabilities is just that -- a myth. This myth largely derives from the fact that the global Windows market share dwarfs that of macOS. Hackers and cybercriminals would much rather target an operating system that serves nearly 90 percent of users worldwide than one that accounts for less than 10 percent.
The truth is that Macs are still very much susceptible to vulnerabilities that can be exploited by cybercriminals, or even by developers of apps you may use on a daily basis. So if you’re a Mac user who has been lulled into a false sense of security, it’s time for you to wake up and realize that your security is by no means guaranteed on a Mac. That’s the hard reality of it, and the sooner you come to grips with it, the sooner you can start taking steps to protect your digital security and personal privacy on your Mac.
Closing the complexity gap in device management
The device landscape is becoming increasingly complex, as the proliferation of platforms, manufacturers and ownership options intersects with the need to track, manage and secure these devices in an ever-changing risk environment.
Piece by piece, IT teams have picked up new devices and solution-specific tools to manage and track each device or pain point as it arises. Over time, organizations may develop entirely different teams to oversee similar management tasks for different platforms. While these specialized tools are effective individually, as the device landscape and management tasks expand, the net result of these devices and siloed tools is a "complexity gap" that outpaces the staff needed to manage them all.
Four ways your boss can access your private data
Privacy is a currency these days. With social media, target advertising, and constant connectivity, it’s harder than ever to keep elements of your private life truly private. This crisis of privacy becomes especially concerning in the context of the workplace.
In the old days, it was easy to keep your work life and your personal life entirely separate. Today, those boundaries are blurrier than they used to be, and that fact has led to a big question for many employees: how much of my private data can my boss access?
Kaspersky launches its 2020 range with traffic encryption and scanning speed improvements
We see people purchase new security software and are often asked "how do I remove the old version?" which we find utterly perplexing.
To be clear, there’s really no such thing as a '2019' or '2020' of any security software as you always have the latest version as part of any paid subscription. You’re not using year-old outdated security to protect your devices. What a new release does is enable the company to make an announcement and, in turn, websites such as BetaNews to write about the new features. It’s really as simple as that.
Avoid chaos at scale: How to prevent your robots from running amok
Although robotic process automation (RPA) is at the heart of many digital transformation efforts, it’s all too common for organizations to roll out their software robots in a piecemeal fashion. For example, finance deploys its own set of bots, while manufacturing rolls out another, without coordination between the departments. This decentralized approach presents a risk -- one that leads to problems later.
For instance, automated processes often require robots to interact with each other and access or disseminate data, which means they’re often dependent on related systems and policies. But what happens when one of those policies change or a system breaks down?
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