Sumo Logic ahead of the pack
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ANALYST REPORT
Sumo Logic recognized as a Strong Performer in the 2022 Forrester Wave for Security Analytics Platforms
We are honored to be recognized in this evaluation, in part because of our highest score possible in the market approach criterion and our cloud-native architecture.
Sumo Logic is named a strong performer in the Forrester Research, Inc. report: “The Forrester Wave™: Security Analytics Platforms, Q4 2022.” We believe the results in this evaluation also reflect the trust customers place in our SaaS security analytics platform to help ensure application reliability, secure and protect their organizations against modern threats, while gaining insights into their cloud infrastructures.
Reference customers highlight that the offering scales well and is suitable for multiple use cases across the organization including security, R&D, site reliability engineering, and DevOps.
- The Forrester Wave(TM): Security Analytics Platforms, Q4 2022
Download your own copy of this Forrester report, compliments of Sumo Logic, to learn:
Why Sumo Logic is named a Strong Performer
How Sumo stacks up against the 13 other vendors
Forrester’s vision and guidance for evaluating security analytics platforms
When you’re done reading, see how you can use Sumo Logic for your security analytics, SIEM, and SOAR use cases—all using a single platform!
Additional resources
8 reasons why you need Sumo Logic for your Cloud SIEM
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Sumo Logic Security Solutions
Download briefFAQ
What is security analytics?
Security analytics uses data analysis and advanced technologies to detect, investigate and respond to security threats and incidents in computer systems, networks and digital environments. It involves collecting and analyzing various types of data, such as network logs, system logs, user behavior data, and security event information, to gain insights into potential security risks and anomalies.
The primary goal of security analytics is to enhance an organization's ability to identify and mitigate security threats in real-time or near real-time to improve the overall security posture. Using advanced technologies such as machine learning, artificial intelligence, behavior analytics and big data analytics, organizations can identify patterns indicative of security risks or attacks.
What is a security analytics platform, and how does it work?
A security analytics platform is a software solution that provides a centralized system to collect, process, analyze and visualize security data from various sources to identify and respond to security threats and incidents.
Here's a general overview of how a security analytics platform operates:
It collects security-related data from firewalls, intrusion detection/prevention systems, log management solutions, network monitoring tools, endpoint protection platforms and more. The platform may use various protocols or APIs to gather data in real-time or periodic intervals.
Once the data is collected, the platform processes and normalizes it to ensure consistency and compatibility across different sources. This involves data transformation, filtering and cleansing to organize the data in a standardized format suitable for analysis. It may involve converting data into a common schema, normalizing timestamps, removing duplicates and enriching the data with additional context or metadata.
It securely stores the processed security data using databases, data lakes, or other storage systems optimized for handling large volumes of security-related data. The platform also manages data retention policies, indexing and efficient retrieval mechanisms to support timely analysis.
To help identify potential security threats, malicious activities, or abnormal behavior, it applies statistical analysis, machine learning, anomaly detection, behavior analytics and correlation algorithms. To that end, a security analytics platform will also enrich the analysis process by tapping into threat feeds, vulnerability databases, threat intelligence platforms and other external sources to correlate security events with known threat indicators.
Based on the analysis results, the platform generates alerts or notifications to notify security teams about potential threats or suspicious activities. It also employs predefined rules, thresholds, or custom detection algorithms to trigger alerts when certain conditions are met.
After detection and notification, it reports on the analysis with dashboards, graphs, charts and other visual representations to help security analysts and stakeholders understand the security posture, trends, and potential risks.
Throughout the process, a security analytics platform operates continuously, ingesting new data, analyzing it in near real-time, and generating alerts or notifications as security events occur.
What are the key drivers supporting the growth of the security analytics market?
Some of the key drivers supporting the growth of the security analytics market include:
- The evolving and sophisticated nature of cyber threats
- Increasing volume and complexity of security data Compliance and regulatory requirements
- A need for real-time threat detection and incident response
- Increasing cloud services adoption
- A need for automated solutions in the face of a skills shortage
How does security analytics relate to SIEM?
Security Information and Event Management (SIEM) and security analytics are closely related concepts. Security analytics is a component of SIEM that focuses on applying advanced analytics techniques to security event data. SIEM solutions often incorporate security analytics capabilities to perform advanced analysis of the collected security event data.
