Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Alerting

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.
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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.

Making ServiceNow better with CloudFabrix RDA

The onset of ServiceNow has relieved the IT Services workforce. With CloudFabrix RDA added to it, we made it even better. Let’s face it that many IT Service transformation implementations take longer because of a lack of automation around migration and production. The efficiency of ITSM is further compromised due to the absence of data automation and enrichment. ServiceNow with Robotic Data Automation stirs a positive impact on three critical areas of data operations ITSM teams.
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Accelerate & Automate Incident Recovery with AIOps

Automating incident recovery has inculcated rhythm to systems. But ITOps need more than automation. And, that is the acceleration of automated incident recovery. 79% reported in a survey that adding more IT staff to address IT incident management is not an effective strategy. Incident recovery needs accelerated intelligent automation. The two core outputs when accelerated are better and faster Incident Diagnosis and Resolution.

AIOps Has a Data(Ops) Problem

Modern complex systems are easy to develop and deploy but extremely difficult to observe. Their IT Ops data gets very messy. If you have ever worked with modern Ops teams, you will know this. There are multiple issues with data, from collection to processing to storage to getting proper insights at the right time. I will try to group and simplify them as much as possible and suggest possible solutions to do it right.

Let 'Data bots' do the hard work of making AIOps and DataOps effortless

For a long time, IT Ops teams have been trying to keep up with the advancements in data analytics and management. In certain organizations, this problem is charged to DataOps teams. .These teams are tasked with managing data growth and complexity as well as keeping pace with new technologies like Artificial Intelligence driven Ops (AIOps).