Sumo Logic Security and OpenText Behavioral Signals compete in security and behavioral analysis. Sumo Logic Security is preferred for its comprehensive security monitoring, whereas OpenText Behavioral Signals is prominent for human behavior analysis.
Features: Sumo Logic Security offers extensive threat detection, real-time monitoring, and seamless log management. OpenText Behavioral Signals provides advanced behavioral analytics, detailed communication pattern interpretation, and robust integration capabilities for analyzing human behavior.
Room for Improvement: Sumo Logic Security could enhance its customization options, user interface flexibility, and integrations with third-party applications. OpenText Behavioral Signals may improve ease of use, expand its feature set for specific industries, and enhance data visualization for better insights.
Ease of Deployment and Customer Service: Sumo Logic Security is known for its straightforward deployment process and reliable customer support. OpenText Behavioral Signals, while streamlined, excels in supporting integration with behavioral tools. Each offers unique strengths in deployment and service based on organizational needs.
Pricing and ROI: Sumo Logic Security provides a competitive pricing model that is often seen as cost-effective due to its robust security offerings. OpenText Behavioral Signals offers strong ROI through its unique behavioral insights though may be higher in initial cost. The primary contrast is Sumo Logic’s cost-effectiveness and OpenText’s added value through advanced analytics.
We have saved 64 hours of our time overall.
The return on investment I have seen with Sumo Logic Security in the past year and a half is tough to quantify, but I would estimate it has hit the milestones we set internally for return on investment.
They have a response time of forty-eight hours, which is not instant support.
In general, they usually provide continuous support post-implementation, being in touch and trying to help, which makes their after-sale process better than Splunk.
Sumo Logic Security has really good customer support.
Sumo Logic Security scales up automatically because it is a cloud-native SIEM, and I do not need to worry about hardware clusters or capacity planning.
The tool has high scalability because everything is based in the cloud.
I did not face any significant issues with Sumo Logic Security, but the pricing may be a concern as they try to upsell and raise the prices very quickly.
If there are many records, the system may stop or the UI may become unresponsive.
The query language is pretty straightforward and easy, and it is very powerful for building different searches and dashboards that will serve for later exploration of the same interests I have.
It operates very well as a cloud-native SaaS platform with high availability, and there is no downtime that I have experienced.
This can lead to alerts that are collections of disjointed signals that sometimes make no sense and lack real context; this simplistic approach makes it hard to find coherent stories during investigations.
I would also appreciate the AWS automation integrations to be more secure because currently, they are using access keys, which involves a user rather than roles, which is the security best practice recommended by AWS.
The correlation rules and log mapping are not as mature compared to other SIM tools like Splunk.
This makes it more cost-effective because other solutions often include a third element in their pricing.
From one to ten, where one is cheap and ten is expensive, I would put Sumo Logic Security at a seven.
If you go to the well-known vendors such as Azure Sentinel or other tools like Splunk, you are going to find them costly since they are well-known and they have much more integration compared to Sumo Logic Security.
The features I find most useful in Sumo Logic Security are the ease of implementation and connectors; they have a very easy connection and many connectors to important systems, making it very easy to implement and fast to start running in production.
They are able to save time on fewer alerts because we are able to perform tuning on the logs to be able to only get relevant or security relevant incidents.
My SOC analysts were crushed under Splunk, but Sumo has actually eased the workload and made it tolerable for three people.
| Product | Mindshare (%) |
|---|---|
| Sumo Logic Security | 1.7% |
| OpenText Behavioral Signals | 0.8% |
| Other | 97.5% |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 5 |
| Large Enterprise | 14 |
OpenText Behavioral Signals enhances organizational security monitoring with its robust correlation engine and streamlined dashboard, offering customization to suit different environments like airports or banks.
OpenText Behavioral Signals effectively integrates device logs through its strong correlation engine. The platform's customization options enable tailored alerts to match specific use cases, such as airports or banks. Although it needs more frequent updates to stay aligned with global incidents, it provides a centralized dashboard that ensures comprehensive visibility across networks. Users find the interface intuitive, making rule writing and report access easy, aiding in a comprehensive understanding of the network environment.
What are the key features of OpenText Behavioral Signals?In industries like banking and airports, OpenText Behavioral Signals is implemented for gathering global intelligence from the cloud. It notifies organizations about global attacks and updates its correlation engines. These industries utilize the platform for monitoring and analyzing logs from network devices, security log management, and addressing network challenges like link failures and unauthorized login attempts, ensuring better security posture with behavioral analytics and log integration using Unix and Microsoft-based connectors.
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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