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Bigleaf Risk Monitoring brings alerting into the modern era by using intelligent software to identify and translate network events into business risks.
FREMONT, CA: Bigleaf Networks launched Risk Monitoring, a new feature within their SD-WAN platform. The new feature uses artificial intelligence to reduce alert noise and make them actionable, addressing one of the most costly and inefficient thorns in IT departments and drives a powerful stake in the ground for the future of artificial intelligence in the network. This kind of contextual alerting will help IT-lean organizations provide the same level of application performance and network reliability traditionally reserved for enterprises with huge IT teams and budgets.
"The complexity of networks in today's IT-lean enterprises where they have tens or hundreds of cloud applications running across hundreds or thousands of branch and home internet connections has reached a point where all sense of control and excellence has been lost," said Joel Mulkey, co-founder, and CEO, Bigleaf. "People can't process and troubleshoot the volume of alerts and events on networks anymore. It's not a matter of not wanting to. It's that there's simply too much information, most of which is noise. You've got to have intelligent software to solve this problem. By building a platform that takes control of processing and interpreting those events, we've now established true network control for our customers."
What Bigleaf calls risks are contextualized and interpreted pieces of information about network status and behavior observed and monitored by the company's network and devices. Each of these risks specifically highlights patterns of events, status conditions, or other scenarios that pose a threat to a customer's business and their site's continuity or uptime. Each risk alert is designed to give customers an easily understood explanation and path to a resolution to resolve risk. Bigleaf's dashboard includes a new widget that shows the number of threats a site currently has triggered and highlights the top three risks for that site.
By using artificial intelligence to interpret high-volume network events into prioritized actionable risks, Bigleaf can reduce risk alert noise by as much as fifty percent for average customers.
The risks Bigleaf monitors span the spectrum from site outages to load balancing across different circuits. Bigleaf exposes a total of twelve various risks in the initial launch of this new feature, including:
• Extended periods of elevated health alarm levels
• Circuit outage(s) that result in only a single circuit remaining up
• Critical traffic volume exceeding the capacity of backup circuits
• Site outage
These actionable, risk-focused alerts give IT and network managers a clear path to resolving issues that may exist with their ISP, equipment, or configuration.
"This new feature brings incredible relief to daily pain our customers and others in the industry feel. It also brings significant value to our MSP partners who now have a tool that lets them see risks across all of the companies they manage and helps them better determine where they should spend their limited time and resources to keep their customers happy," continued Mulkey.
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