Anomali

A collection of incident response methodologies for various security incidents, providing easy-to-use operational best practices.

Anomali is an AI-Powered Security Operations Platform that delivers exceptional speed, scalability, and performance, all while reducing costs.

This solution integrates ETL, SIEM, XDR, SOAR, and TIP into a single platform for security analytics. This integration enables customers to efficiently detect, investigate, respond to, and remediate threats, all from one centralized location.

The platform incorporates embedded generative AI, which significantly reduces the time required for threat research from hours to mere seconds. This technology also enhances the skills of analysts and helps address the shortage of skilled professionals in the field.

It also features a cloud-native architecture that can scale to petabytes and beyond, offering high fidelity IOAs from the largest intelligent repository to effectively assess risk. Anomali's solution integrates security operations and defense capabilities into a single proprietary cloud-native big data solution, ensuring the quickest route to security analytics.

The platform assists businesses in improving their outcomes by safeguarding and advancing their operations through increased automation, scalability, effective talent management, and higher incremental earnings per share (EPS) and cash flow.

It also assists CIOs and CISOs in protecting their businesses from various threats by enhancing visibility into a larger number of sophisticated threats. Vice Presidents of Security Operations can reduce cyber risk by optimizing a complex technology stack, which helps to decrease risk and fulfill visibility use cases such as insider threats, intelligence gathering, and compliance monitoring. Security practitioners can quickly uncover threat data in just seconds and analyze vast amounts of threat data, measured in petabytes, within the same brief timeframe. Directors of Threat Intelligence can put their threat intelligence into action by identifying potential threats within unstructured data, assessing incoming threat data, and prioritizing which assets are affected.