How Big Data Analytics Can Improve Information Security

By Doland White at 6/5/2013 1:30 PM
Filed Under: Big Data, Security Analytics

Big data analytics is a concept that gets thrown around a lot. It may sound cool – but can it really improve information security?

Gartner defines big data analytics as the ability to find patterns in data that may be new or different from normal, day-to-day behavior.  This is an especially important undertaking for large enterprises that have thousands of sessions introducing millions of potential security risks at any given moment. Big data analytics allow Bay Dynamics’ Risk Fabric security intelligence tool to separate the news from the noise, helping security professionals predict and prevent all types of security problems.

Detailed security metrics, based on data from any department, form the key building blocks of Risk Fabric. These metrics can be derived from raw data or specific aggregations that play across all elements of the enterprise environment. By weaving all types of security metrics together in a single logical data warehouse (LDW), Risk Fabric creates a consolidated foundation for tracking security trends and exposing potential vulnerabilities in any organization.

A sample high-level security metric that Risk Fabric might use is the total number of computers across the enterprise, while a more specific data point would be the number of files with sensitive data that are stored on a particular drive and haven’t been accessed in more than two years. Because Bay Dynamics’ patent-pending Logical Data Warehouse technology rapidly brings together security data from multiple systems, Risk Fabric users can define and track new, comprehensive metrics that were not feasible with traditional data individual repositories or point products. These unique metrics can also be driven by use cases, ensuring that Risk Fabric insights match a company’s most vital security objectives.

Using the right key metrics, Risk Fabric can identify deviations from what’s normal for an organization – what we call “separating the news from the noise.” Risk Fabric uses metrics gathered from across the company to create a baseline security history, then enriches this historical data with predictive analytics that forecast behavior and define a “tolerance zone” for each metric. This tolerance zone reflects the changes in the metric that are expected with day-to-day behavior. If a metric veers outside of the tolerance zone, this information bubbles up as a news item on the Risk Fabric home page, so security professionals can take immediate action.

In the context of security intelligence, big data analytics provides big picture knowledge across the enterprise, including the ability to identify subtle "needle-in-the-haystack" behavior that falls outside the norm. Big data analytics is a powerful lens that can look across the enterprise, define standard operating behavior, and immediately focus on any abnormal activity. Thanks to big data analytics, Risk Fabric users can quickly view what is changing across the enterprise, identify how these shifts relate to what’s expected, and isolate malicious activity for corrective action – all without processing hundreds of alerts, emails, and incident reports. In other words, big data analytics creates a new, improved approach to information security.

IT Analytics Server 2.1 Cube Browser for Symantec Users

By Darren Prager at 5/24/2013 5:10 PM
Filed Under: IT Analytics Server 2.1

Bay Dynamics recently announced the availability of IT Analytics Server 2.1, which includes an enhanced web based cube browser. The videos below walk you through how as an existing Symantec customer, you can leverage IT Analytics Server to visualize your cube data and take advantage of its benefits. Click on one of the videos below for your particluar Symantec product:


New Cube Browser Available in IT Analytics Server 2.1 Provides Unparalleled Data Visualization Capabilities

By Darren Prager at 5/10/2013 12:14 AM
Filed Under: IT Analytics Server 2.1

Bay Dynamics’ IT Analytics™ Server 2.1 includes a browser and device independent HTML Cube Browser that significantly enhances the ability to visualize and interact with data indexed via OLAP cubes. The biggest problem when working with big data is rapidly processing massive amounts of data, and then finding a compelling way to communicate relevant analytics to different roles throughout your organization.   This new and powerful visualization technique is now embedded in Bay Dynamics’ longstanding and highly acclaimed IT Analytics software.


Check out our introductory video to IT Analytics Cube Browser:




With the inclusion of the new Cube Browser, IT Analytics enhances your ability to conduct powerful analysis of your data, including pattern detection, trends, and KPI creation and performance, using dynamic chart and graph views that you can easily share with users. You can create a virtual work space for any role or department within your organization. Your work spaces can be composed of pivot tables, tabular grids, and charts – helping your viewers visualize the most relevant data and see clear action items. You can then share the work space with one person, or a group of people, so that everyone gets the view you want them to see. Users can view their particular work space anytime from any device.


For existing SQL Server Analysis Server OLAP Cube users, IT Analytics Server 2.1 provides you with a system for managing your cubes and is flexible enough to point at any existing  cubes to discover, analyze, and visualize your data.  IT Analytics Server 2.1 provides a data provisioning system with role-based security, and a platform to create, customize, and visualize Reporting Services reports in a consistent and convenient end user environment.


Bay Dynamics’ IT Analytics Server 2.1 allows you to scale beyond traditional limits with OLAP cubes, helping you visualize  very large data sets that have exceeded the limits of other cube browsing software.  Install IT Analytics Server 2.1, point towards your existing cubes, and go.  IT Analytics Server 2.1 is an extendable commercial product that adapts as your data structures evolve, giving you consistent access to flexible data visualization, and giving you intelligence you can act on.