Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Alerting

Can your AIOps platform do Log Noise Reduction in addition to Alert Noise Reduction? If not, it is time to re-evaluate your AIOps

One of the core value propositions of AIOps platforms is to increase IT efficiency & productivity by applying AI & ML techniques to perform Alert Noise Reduction. This in turn translates to direct cost reduction due to savings in IT man-hours. In this approach, the AIOps platform kind of becomes like a gatekeeper for all the IT alerts/events, and it can help effectively, reduce and correlate such events, so as to send meaningful incidents to NOC or Service Desk.
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How to Manage Your AIOps for Optimal Efficiency

“Have you tried shutting it off and turning it back on?” While AIOps won’t likely remove this query from our vocabulary any time soon, technology is certainly here to take on a bulk of the heavy lifting. For all-sized companies, service calls are still going to continue to pour in. And, there’s no sign of any of the world’s CompTIA certs going to waste in the near future. Still, thanks to AIOps, many jobs within the world of IT will become more streamlined.

Face Detection using Robotic Data Automation(RDA) in 4 mins

Perform real-time face detection through a webcam/recorded video using Robotic Data Automation(RDA) in 4 mins. This method is so quick that we can start getting real-time reports on the faces of every person/object in the video without much performance overhead. The best part is it's a low code tool. Intriguing enough?
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Robotic Data Automation (RDA): Top 5 emerging opportunities for CXO/IT leaders

As per Gartner, Hyper Automation is the top strategic technology trend for Enterprises. “The shift towards hyper automation will be a key factor enabling enterprises to achieve operational excellence, and subsequently cost savings, in a digital-first world,” said Cathy Tornbohm, Distinguished Research Vice President at Gartner. Businesses want to enable employees to make better decisions in the most cost effective way.

Robotic Data Automation (RDA): Reducing Costs and Improving Efficiencies of Your Log Management Investment

People’s involvement has been inevitable with log management despite advancements in ITOps. Log management at a high level collects and indexes all your application and system log files so that you can search through them quickly. It also lets you define rules based on log patterns so that you can get alerts when an anomaly occurs. Log management analytics solution leveraging RDA has been able to detect anomalies and aid predictive models over a machine learning layer.

Is Your Cyber Team Overwhelmed by System Alerts?

Your cybersecurity team walks into the office, and their day is instantly taken off the rails. They get an alert informing them that something on the network is acting suspiciously. It isn’t necessarily a threat, but they don’t have the tools to know for sure. After looking into it, they learn that a SaaS provider for one of their departments delivered an update that caused a service degradation. Thankfully, it isn’t an attack.

SANSFire: An Alert Has Fired. Now what?

While the security industry spends a lot of time and energy getting more and/or better alerts, comparatively little investment has gone into helping analysts operationalize and contextualize those alerts. This webcast will discuss how a solid foundation of network telemetry can enable not only high-velocity, high-confidence processing of alerts of all stripes, but also a host of other critical security applications, from fundamentals like asset management to advanced techniques like proactive threat hunting. Real-world examples and code will be used throughout the talk, along with practical considerations for operating in an enterprise environment.