Find out what your peers are saying about Splunk, Microsoft, Wazuh and others in Security Information and Event Management (SIEM).
They have a response time of forty-eight hours, which is not instant support.
The correlation rules and log mapping are not as mature compared to other SIM tools like Splunk.
If there are many records, the system may stop or the UI may become unresponsive.
If we cannot find the data in other tools, like email security or NDR, we can fetch those logs in the Log Analytics platform of Sumo Logic.
Anvilogic breaks the SIEM lock-in that drives detection gaps and high costs for enterprise SOCs. It enables detection engineers and threat hunters to keep using their existing SIEM while seamlessly adopting a scalable and cost-effective data lake for high-volume data sources and advanced analytics use cases.
By eliminating the need for rip-and-replace, Anvilogic allows security leaders to confidently join the rest of the enterprise on the modern data stack without disrupting existing processes. Security operations teams at banks, airlines, and large tech companies use Anvilogic’s modular detection engine, thousands of curated threat scenarios, and AI security copilot to improve detection coverage and save millions of dollars.
Sumo Logic
Sumo Logic is a cloud-based machine data analytics company focusing on security, operations, and BI use cases. It provides log management and analytics services that leverage machine-generated big data to deliver real-time IT insights.
Sumo Logic is developed as a SaaS solution, it processes and analyzes large quantities of IT infrastructure data, spotting patterns and anomalies that can indicate a potential threat or significant event.
The platform is designed to help IT, security, and business operations teams develop, manage, and secure their applications and cloud infrastructures. It collects, aggregates, and analyzes data from various sources including servers, virtual machines, and network devices, providing visibility into complex systems.
What are the key features of Sumo Logic?
Real-time Analytics: Continuous queries and live dashboards that provide insights into application performance, user behavior, and security threats.
Advanced Machine Learning: Utilizes machine learning algorithms to identify trends, anomalies, and patterns.
Integrated Threat Intelligence: Tools and workflows to enhance security postures by detecting threats and anomalies.
Multi-tenant Cloud Service: Allows users to operate in a shared cloud environment securely.
The solution aims to simplify data complexity, streamline operations, and provide actionable insights to businesses across various industries.
Sumo Logic is designed to handle high data volumes from multiple sources without diminishing performance. It is primarily deployed in the cloud with seamless integrations for AWS, Google Cloud, and Microsoft Azure. This flexibility allows users to leverage Sumo Logic’s capabilities regardless of their existing cloud infrastructure.
In summary, Sumo Logic is a comprehensive, AI-driven analytics solution ideal for businesses looking to enhance their IT and security operations through data-driven insights and real-time monitoring. Its flexible deployment options and scalable pricing model make it accessible for various business sizes and sectors.
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