Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Alerting

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.

RDA Addresses Top 5 Enterprise IT Challenges faced by CXO/IT Leaders

Robotic data automation (RDA) is designed to optimize IT functions for a broad spectrum. It is the next generation data automation technology that is specifically designed to bring efficiencies to multiple IT functions including CXO/IT leaders decision making, IT Ops, Helpdesk, Salesforce.com, ServiceNow and other applications used by enterprises.

Is Data the biggest barrier for AIOps adoption?

Much like oil, data that is available in a raw form is not useful at all. It has to go through various steps before AI/ML could touch it and derive valuable!! Check out the latest video by Shyam Sreenivasan, where he talks about DataOps and why you should automate your data pipelines to run AIOPS at scale.

Detecting Security Threats: How to Set up Alerts and Prevent Threats?

Detecting and preventing security threats is a lot easier than fixing already existing ones. With this in mind, you should set up alerts to detect security threats before they occur and do your best to prevent them from happening. There are many ways to set up security alerts. One way to set up alerts is to use a SIEM system such as LogSentinel SIEM, which will send you an alert if something suspicious happens. This way, for example, if you notice a potential security breach, you can turn off your system network in order to prevent the hacker from accessing your network.
Sponsored Post

When Dominoes Fall: Microservices and Distributed Systems need intelligent dataops and AI/ML to stand up tall

As soon as the ITOps technician is ready to grab a cup of coffee, a zing comes along as an alert. Cling after zing, the technician has to respond to so many alerts leading to fatigue. The question is why can’t systems be smart enough to predict bugs and fix them before sending an alert to them. And, imagine what happens when these ITOps personnel have to work with a complex and hybrid cloud of IT systems and applications. They will dive into alert fatigue.