AIOps platforms analyze telemetry and events, and identify meaningful patterns that provide insights to support proactive responses. AIOps platforms have five characteristics: Cross-domain data ingestion and analytics Topology assembly from implicit and explicit sources of asset relationship and dependency Correlation between related or redundant events associated with an incident Pattern recognition to detect incidents, their leading indicators or probable root cause Association of probable remediation
Analytics and business intelligence platforms — enabled by IT and augmented by AI — empower users to model, analyze and share data. Analytics and business intelligence (ABI) platforms enable organizations to understand their data. For example, what are the dimensions of their data — such as product, customer, time, and geography? People need to be able to ask questions about their data (e.g., which customers are likely to churn? Which salespeople are not reaching their quotas?). They need to be able to create measures from their data, such as on-time delivery, accidents in the workplace and customer or employee satisfaction. Organizations need to blend modeled and nonmodeled data to create new data pipelines that can be explored to find anomalies and other insights. ABI platforms make all of this possible.
Reviews for 'Data and Analytics - Others'
Gartner defines digital experience monitoring (DEM) tools as those that measure the availability, performance and quality of the user experience (human user or digital agent) of critical applications. This can include internal users (employees and contractors), external users (customers and partners) or a digital agent connecting to an API. In addition to performance, DEM technologies enable observability of user behavior and journey based on their interaction with applications.
Infrastructure monitoring tools capture the health and resource utilization of IT infrastructure components, no matter where they reside (e.g., in a data center, at the edge, infrastructure as a service [IaaS] or platform as a service [PaaS] in the cloud). This enables I&O leaders to monitor and collate the availability and resource utilization data of physical and virtual entities — including servers, containers, network devices, database instances, hypervisors and storage. These tools collect data in real time and perform historical data analysis or trending of the elements they monitor.
Gartner defines insider risk management as a methodology that includes the tools and capabilities to measure, detect and contain undesirable behavior of trusted accounts in the organization. It includes solutions that monitor the behavior of employees, service partners and key suppliers working inside the organization. These tools then evaluate whether behavior falls within the expectations of the role and corporate risk tolerance. For CISOs and cybersecurity leaders, insider risk management refers to the use of technical solutions to solve a fundamentally human problem. Managing insider risks requires collaboration among many cross-functional partners. Components of an insider risk management methodology are policies, guidelines and investigative work that fall outside the bounds of a typical cybersecurity organization. For our purposes, the insider risk management market consists of tools and solutions that monitor the behavior of employees, service partners and key suppliers working inside the organization. It evaluates whether behavior falls within the expectations of the role and corporate risk tolerance.
Gartner defines observability platforms as products that ingest telemetry (operational data) from a variety of sources including, but not limited to, logs, metrics, events and traces. They are used to understand the health, performance and behavior of applications, services and infrastructure. Observability platforms enable an analysis of the telemetry, either via human operator or machine intelligence, to determine changes in system behavior that impact end-user experience such as outages or performance degradation. This allows for early, and even preemptive, problem remediation. Observability solutions are used by IT operations, site reliability engineers, cloud and platform teams, application developers, and product owners. Observability platforms are used by organizations to understand and improve the availability, performance and resilience of these critical applications and services. Investment in and successful deployment of observability platforms leads to revenue loss avoidance and enables faster product development cycles and improvements in brand perception.
Gartner defines the operations intelligence platform as a suite of development and runtime software tools that monitor, alert and support interactive decision making by providing data and analytics about current conditions. These platforms have adapters to receive and send data; event processing logic to detect threats and opportunities; rule processing; analytics; dashboards; alerting facilities; and capabilities to trigger responses in applications, devices or workflow tools. The platforms apply to the operational aspects of a business. Business operations are activities that produce, deliver or directly enable goods, services and information products. Applications built on operations intelligence platforms work at the oversight level; they do not directly control work at a detailed level.
SIEM is a configurable security system of record that aggregates and analyzes security event data from on-premises and cloud environments. SIEM assists with response actions to mitigate issues that cause harm to the organization and satisfy compliance and reporting requirements. The security information and event management (SIEM) system must assist with: 1. Aggregating and normalizing data from various IT and operational technology (OT) environments 2. Identifying and investigating security events of interest 3. Supporting manual and automated response actions 4. Maintaining and reporting on current and historical security events
Security orchestration, automation and response (SOAR) solutions combine incident response, orchestration and automation, and threat intelligence (TI) management capabilities in a single platform. SOAR tools are also used to document and implement processes (aka playbooks, workflows and processes); support security incident management; and apply machine-based assistance to human security analysts and operators. SOAR solutions must provide: - Highly customizable workflow process management that enables repeatable automated tasks to be turned into playbooks that run in isolation or joined together into more sophisticated workflows. - The ability to store (locally or in a third-party system) incident management data to support SecOps investigations. - Manually instigated and automated triggers that augment human security analyst operators to carry out operational tasks consistently. - A mechanism to collate and better operationalize the use of threat intelligence. - Support for a broad range of existing security technologies that supports improved analyst efficiency and acts as an abstraction layer between the desired outcomes and the custom-made set of solutions in place in your environment.
Reviews for 'Security Solutions - Others'