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  • Four technologies that could transform information security programs

    With digital transformations underway in many industries, CIOs aren't the only ones who need to have the next big thing on their radar. What security innovations should you follow to ready your organization's information security programs?

    The internet of things is both a security threat and potentially a security boon. Big data, machine learning and a growing number of systems with pseudo artificial intelligence may help ease the workloads of security analysts. Bitcoin's distributed database technology known as blockchain can add security to a variety of systems, but scalability remains an early concern. Quantum computing? That one may be too far out -- five years at least -- to be considered a near-term technology disruptor to enterprise information security programs.

    Whether your organization is focused on manufacturing and infrastructure -- such as industrial control systems -- or consumer and information technology -- such as the internet of things -- everything is rapidly becoming connected and potentially accessible from the internet. Many information security programs are not on track for the internet of things, complex clouds and other technology disruptors. We dust off the crystal ball in this issue of Information Security magazine and ask infosec experts and venture capitalists to look into the future.

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  • The art of managing IT risk is never quite mastered

    Risks abound, and no amount of preparation or caution will eliminate them entirely from our lives. This is as true now as it was in the past, and it likely will remain true in the future.

    While technology enables us all to work more effectively and productively, the necessity of managing IT risk remains. Risk follows wherever we go -- from the data center to the cloud, from virtualized workloads to containers. Smart IT organizations are continuously assessing threats and then devising ways to minimize them. That's the goal, at least.

    This issue of Modern Infrastructure examines some of the current approaches to managing IT risk, from maintaining security to handling costs.

    In our cover story, TechTarget's Beth Pariseau writes about the particular challenges of container security. IT shops have been reluctant to put containers in production in large part because of the uncertainty about how secure they might be. Updates from Docker and more disciplined app development practices are making containers less risky, Pariseau writes. And there's reason to think that containers could be even more secure than VMs.

    Getting comfortable with containers is a process not unlike how technology professionals learned how to safely use cloud services. It takes some time and effort, but managing IT risk can bring exciting and powerful new tools safely into the fold.

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  • Is threat hunting the next step for modern SOCs?

    The emergence of threat hunting programs underscores the importance of the human factor in fighting the most dangerous and costly security threats. Continue Reading

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  • Seven supply chain risk factors that affect assessment, mitigation

    Over the years, managing supply and demand has become increasingly complicated. Here's a look at factors that influence today's supply chain risk assessments. Continue Reading

  • How did firmware create an Android backdoor in budget devices?

    An Android backdoor was discovered in the Ragentek firmware used in almost three million low-cost devices. Expert Michael Cobb explains how to prevent attacks on affected devices. Continue Reading

  • Machine learning in security explodes: Does it work?

    Machine learning in security is continuing to advance, and many companies now claim to have introduced artificial intelligence techniques into their platforms. With the high volume of data that most security teams have to prioritize, machine learning in security technology is increasingly being adopted as a way to reduce the noise that traditional security products produce.

    Smaller companies, such as Keen Footwear, have turned to threat platforms that incorporate machine learning and AI techniques -- and soon automated defense -- to solve a variety of problems. "I don't need to go hire someone dedicated to security," said Clark Flannery, director of IT at Keen's headquarters in Portland, Ore. "It just feels like a whole team back there -- who are way more qualified than [staff] I would be able to pay."

    With security professionals in short supply, companies like Keen are relying on these technologies to make it easier to spot and respond to attacks. While machine learning and artificial intelligence are often used interchangeably, the concepts are different. In this issue of Information Security magazine, we discuss the nuances and dive into the current state of the technology. Machine learning in security offers information security analysts more depth of knowledge, helping to detect patterns and related analysis they may not otherwise have known about.

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