And identifying risk, breaches in governance and compliance is what Brinqa is all about. The company‘s integrated risk analytics platform helps enterprises extract knowledge from big data for better decision-making.
Brinqa Offers a Total View of Risk Data
Today Brinqa announced it is adding new capabilities to its flagship platform resulting in the most comprehensive view of risk data available. The aim is to help put an actual dollar amount on the risk elements of big data so organizations can prioritize risk rather than fixing every vulnerability at once.
The Brinqa platform automatically aggregates risk data siloed across an enterprise and analyzes it down to the smallest detail, eliminating the manual process of risk analysis used today.
In the case of predicting rogue workers, for example, a single point of data on a performance review might not mean trouble; ditto for not following procedures to the letter, logging into work at weird times or from odd locations, having problems with coworkers, seeking paycheck advances ... Look at them all together and they may mean something, but that’s seldom done because the data is siloed. Brinqa allows decision makers to view this data together, in context and it detects relationships.
“We’re the Facebook for data,” says Fida, meaning that Brinqa detects relationships between data.
It also runs “what-if” simulations so that CIOs can quickly and easily understand the cost of “doing something vs. not doing it” and can thereby make much more informed decisions.
Risk Put in Context
In the case of a data breach, for example, Brinqa can assign risk according to the business context. If there’s failure in an ATM system’s security, for example, one kind of an alarm is sounded (consider that a billion dollars could be lost in a second); if someone hacks into employee performance reviews, the alarm is different, provided that the criteria for alarms have been set up that way.
With most risk platforms you don’t know how serious your trouble is when an alarm is sounded. Brinqa assigns a number to the risk based on user selected criteria and can present them visually.
“Not all risks are equal,” says Fida. Some require immediate attention, some can be fixed later and others you may not want to fix at all, he explains. “If you have a million dollars at risk but the problem will cost ten million to fix, it might be best to leave it alone,” he says. “You can’t fix everything,” he adds, “in fact, (as in the example above), you don’t want to fix everything.”
Brinqa is used not only for operational risk but for security risks that are critical to business as well. It provides analytics on data generated via MIS configuration, human error, server/host access, compliance, (backup and restore, information like credit card number storage, and so on.) End users are given easy-to-use dashboards to select criteria and the results are displayed in visually appealing, easy to understand presentations.
What Today's Announcement Includes
Today’s Brinqa announcement details a host of new features added to the Brinqa platform. They include:
- Enhanced visualizations for mobile, tablet and retina-enabled desktop devices: the platform offers new design, layout and rendering configurations for charts and graphs. Its streamlined user interface provides a more interactive html5 client that is more responsive to different screen sizes.
- Dynamic assessments/surveys: new branch and skip logic allows users to create more focused, relevant assessments. Incremental assessment capabilities expedite traditionally long and manual assessment process through automatic reuse of recurring answers. Flexible question types include Yes/No, multiple choice, text/comment, etc. Matrix questioning allows for stronger visual interpretation of data.
- New connectors including for IBM z-Secure, qRadar, JIRA, ServiceNow: customers can collect and collate data from virtually any source for analysis without additional cost or effort. The Brinqa connector framework now offers more than 80 connectors.
- Industry-first business intelligence (BI) model for user-defined dashboards and reports: rich BI functionality allows executives to define dashboards with drill-down capabilities as well as automatically export reports.
- Advanced machine learning integrated with smart analytics: clustering, classification and recommendation algorithms allow for deeper data insight and predictive analysis.
- Customizable library of more than 170 out-of-the-box functions for increased flexibility.
- Accelerated data processing for faster data integration, correlation searching and calculation.
- New compatibility with mainframe operating systems such as IBM Z/OS and z-Linux platforms.