The Lack of Real-Time Visibility Into Mainframe Events and Security

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You must know everything that happens—what’s coming in from outside and what’s happening from within—at all times. But there is a lack of real-time visibility to what is happening on today’s mainframes. Because most of the IT world still holds the notion that mainframes are rubber stamped as secure, it’s uncommon for an organization to monitor its mainframes with the same vigilance as the rest of the infrastructure, not to mention that most mainframe events are also monitored separately from the open system technology.

In this paper, we will discuss the role that real-time monitoring can play in an effective plan to secure your entire IT infrastructure, why having a reactive versus proactive event monitoring plan can make or break your potential for creating a truly secure mainframe, and what you can do to better protect your mainframes at all times.



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Eight Key Pressures on Security Operations

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Security operations have come under increasing pressure from well-funded attackers armed with news tactics, tools and skills. As a result of this, there is additional scrutiny, micromanagement and oversight as IT security climbs the business agenda of many organizations. It’s vital to have the right information at your disposal to describe your challenges and suggest solutions. These forces can be categorized as those from external sources, and those which your business places on you. In this whitepaper, we explore in detail the external and internal forces applying pressure to your security operations, and how Managed Security Services (MSS) can help you release pressure and regain control.

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Understanding AIOps & Probable Root Cause Analysis

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Leading analysts like Gartner agree that Root Cause Analysis is still a people-dependent process. Furthermore, they recommend that ITOps leaders leverage machine learning technology to provide contextualized information across the production stack, understand similarity in events from the past, and accommodate human interaction so that the algorithms can learn from human behavior over time.

Moogsoft’s unique Probable Root Cause is the first technique that can understand causality in unpredictable IT environments with a significant degree of certainty, and without reliance on a model.

In this webinar recording, Moogsoft executives Richard Whitehead and Robert Harper discuss this innovative approach to Root Cause Analysis, and how it can change the way your operations teams address IT incidents.

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