Dynamic thresholds represent bounds of an expected data range for a particular alert. Unlike static alert thresholds that are assigned manually, dynamic limits are calculated by anomaly detection algorithms and continuously trained by an alert's historical values. When dynamic thresholds are enabled, alerts are dynamically generated when these thresholds are exceeded. Simply put, alerts are generated when deviations or anomalies are detected. Consequently, teams will be automatically alerted to values that fall outside the algorithmically determined expected range. Dynamic thresholds in baselining abnormalities detect rates of change and trends of alerts. Dynamic thresholds determined by intelligent monitoring software are continually evolving. By default, the smart solution monitors everything in an environment and fetches parameters that are relevant for an organization. With intelligent baselining and dynamic thresholds, companies significantly reduce the number of irrelevant alerts received from multiple previous monitoring methods. It allows teams to detect errors and deviations that help speed up the resolution of problems.
Elastic cloud is a unique cloud computing capability that enables variable service levels based on dynamic requirements. Elasticity is critical for increasing or reducing cloud services’ capacity and performance based on business needs. It can be changed with automated rules based on events, or through manual reconfiguration.
More than 65% of companies don’t know which devices to patch first. Even with the appropriate prioritization, manual patching slows everything down. Delayed firmware upgrades create a severe impact on your network and cause downtime. Devices like routers and switches that are not updated to the latest firmware version fail to perform. Consequently, device may underperform and lead to poor user experience. Upgrade firmware to fix existing bugs and protect from vulnerabilities. By automating routine vulnerability response processes and elevating staff to focus on more critical work, teams can dramatically reduce breach rates while making the most of existing staff. Ensure compliant status through a constant cycle of endpoint evaluation and remediation. Outages cost your customers. Our firmware management automates end-to-end firmware orchestration processes for any device across your network environment. Ensure a secure network with up-to-date devices while reducing the risk of fraud.
Infrastructure that links a private cloud (controlled by the user) and at least one public cloud (managed by a cloud service provider) constitutes a hybrid cloud. A hybrid cloud setup helps businesses leverage the scalability and cost savings of public cloud while ensuring business critical applications and their data remain on-premise.
HCI is an IT platform that brings together computing, storage, and networking into a unified system to minimize complexity and enhance scalability. These platforms leverage a hypervisor for virtualized computing, software-defined storage, and virtual networks while running on standard servers. Numerous nodes can be combined to create pools of common compute and storage resources, built for easier consumption.
IBM QRadar Security Information and Event Management (SIEM) helps security teams accurately detect and prioritize threats across the enterprise. It also gives you insights into the incidents to enable your team to respond quickly. QRadar SIEM is available on-prem and in a cloud environment. It consolidates log events and network flow data from all the devices, endpoints, and applications distributed throughout the network. Accelerate incident analysis and remediation by correlating all the different information from across your platform on one screen.
Any event that can lead to loss or disruption of an organization's operations, services, or functions is known as an incident. Incident management is a collective term that describes all the activities of an organization to identify, analyze, and correct issues that may lead to a future catastrophe. Incident management allows you to limit the disruption that may be caused by an event and to return to normal operations as soon as possible.
Often IT infrastructures are comprised of multiple locations that include both public, private, and hybrid cloud deployments. But most IT teams fail to identify blind spots in their environment and correlate problems before they affect end-users. This hampers the productivity of the organization. IT monitoring becomes more complex as infrastructures become denser and more dispersed. IT infrastructure monitoring is the implementation of a built-in knowledge base to automatically identify availability problems and performance bottlenecks across your technology stack before productivity is compromised. Infrastructure monitoring includes the physical layer of your organization, utilization and depletion of your IT systems, bandwidth consumption and errors in the network, and application performance issues. The need to analyze the data quickly can be accomplished with automation. It allows IT personnel to dedicate resources to high-value initiatives, instead of chasing down avoidable system issues.
An IT asset is a hardware or software within an IT environment. Not that tracking of IT assets within an IT asset management system is crucial to the operational as well as the financial success of an enterprise. IT assets are integral components of the organization's systems and network infrastructure. An undeniable fact about IT assets is that they have a limited life cycle. Hardware breaks down. Software becomes obsolete. And systems lose their effectiveness. IT managers must receive actionable asset risk intelligence to keep their systems up to date and error-free. The management of these IT assets requires clear policies and well-developed processes. An efficient IT asset management software tracks physical devices, software licenses and instances, and the cabinets that house them. IT teams should be able to capture the warranty, vendor information, and understand how each asset contributes to the IT environment. Managers must also change control procedures to manage upgrades and replacement effectively. Furthermore, IT assets are important to financial managers. From procurement to disposal to operations, each IT asset comes with a cost. The decision to replace, upgrade, or remove an IT asset must be made with full insights and understanding of the financial impact on the business.
IT change risk arises from an organization's inability to manage IT system changes in a timely and controlled manner, especially for large and complex change programs. Inadequate controls lead to incidents that go undetected. Systems become vulnerable due to a lack of testing or improper change management practices. For example, the release of insufficiently tested software or configuration changes can have an adverse effect on data (e.g., corruption, deletion) and IT system performance (e.g., breakdown, performance degradation). A weak IT architecture management when designing, building, and maintaining IT systems leads to complexity, added costs, and rigid systems. Assets that are no longer aligned with business needs also fall short of risk management requirements. An organization's IT change risk framework should cover the risks associated with development, testing, and approval of IT system changes, including change of software, before they are migrated to the production environment and ensure an adequate IT lifecycle management.
IT coverage refers to the extent to which enterprise IT has control and visibility over the entire operations and infrastructure landscape of the business. IT teams are finding it hard to get complete coverage over ops, due to complicated and ever-expanding hybrid architectures and the increasing threat of shadow IT.
For organizations of all sizes, IT downtime means a decrease in productivity and negative customer experience, both of which impact the bottom line. To prevent downtime, it's important to understand the root-causes of incidents and leverage intelligent workflows to safeguard your organization. Human error and security are the top two causes of IT downtime. Combined, these issues hamper productivity, collaboration, and service delivery. Unplanned downtime is also caused by network or server hardware failure. When the servers that host a company's data, applications, and resources fail, it can bring operations to a halt. Typically, the hardware needs to be replaced or repaired. This can take several hours or days, depending on your provider and service level agreement. To mitigate downtime, you need an automated incident resolution platform to identify root-causes of events and address them in real-time. Machine learning-driven operations can lead to a predictive IT where system administrators are notified first about historical events and future predictions of unwanted service disruptions. It also enables IT teams to stay on top of these events and prevent downtime to curb user impact.
The service catalog is an integral component of IT service delivery and constitutes a central repository of available services for customers. These services are part of the IT service portfolio and are already in development or are ready for deployment. Managing the IT service catalog requires optimizing the end-customer experiences so they can initiate service requests with ease, while also ensuring the availability of technical information required to deliver a service.
Netenrich’s threat intel platform, is a news aggregator that collates the most trending news articles in various categories. If KNOW detects the presence of a vulnerability in one group of articles, it immediately provides a small story card that provides you with all the information you need about the vulnerability, including helpful metrics like its common vulnerabilities and exposures score.