LogRhythm SIEM and OpenText Behavioral Signals are competing in the cybersecurity landscape. OpenText Behavioral Signals appears to have the upper hand due to its advanced predictive features, despite LogRhythm SIEM offering better pricing and support.
Features: LogRhythm SIEM is recognized for its threat detection, incident management, and detailed analytics. OpenText Behavioral Signals is distinguished by its advanced behavioral analytics, which enhance predictive capabilities and risk detection.
Room for Improvement: LogRhythm SIEM could improve its forensics capabilities and expand its advanced analytics reporting. OpenText Behavioral Signals might benefit from simplifying its more complex setup and enhancing user interface navigation. Additionally, OpenText could improve integration with other systems and assets.
Ease of Deployment and Customer Service: LogRhythm SIEM has a straightforward deployment process with strong customer service to ensure effective implementation. OpenText Behavioral Signals, despite its complex setup, provides comprehensive support to facilitate the process, maintaining a high level of ongoing assistance.
Pricing and ROI: LogRhythm SIEM features cost-effective pricing and low initial setup costs, leading to rapid ROI realization. OpenText Behavioral Signals, with a higher upfront cost, justifies its price through long-term value and substantial returns driven by sophisticated features.
The technical support is good; we have a separate portal for partners, and since we are paying for the service, they provide a response timeframe based on severity—critical issues are addressed within four hours, medium issues within one day, and non-urgent issues may take a couple of days.
Customer support is very helpful and effectively solves my problems.
LogRhythm SIEM is highly scalable as it has modular components allowing me to expand storage, indexing, or other resources as needed.
LogRhythm SIEM is scalable; it can handle about 200 or 500 devices without much difference.
The platform needs regular updates to fix problems encountered with each quarterly patch and version release.
I have noticed some problems with parsing errors, event mismatches, and data mismatching, so ensuring accurate parsing and continuous improvement according to device updates are my basic expectations as a detection engineer.
A more user-friendly user interface with drag-and-drop features, similar to key competitors like Splunk, would be beneficial.
I find LogRhythm SIEM affordable, as it is a bit less costly than QRadar.
The license cost is around $10 per MPS.
We have enough budget for cloud deployment, but we choose to keep it on-prem to ensure data privacy; cyberattacks are a concern, but data privacy is the foremost priority due to sensitive government information.
The seamless integration for case management, along with a user-friendly dashboard user interface, makes tasks like threat hunting more efficient.
LogRhythm SIEM Platform is an award-winning platform in security analytics. With more than 4,000 customers globally, LogRhythm SIEM is an integrated platform that helps security operations teams protect critical infrastructure and information from emerging cyberthreats. Ultimately, LogRhythm SIEM is an integrated set of modules that contribute to the security team’s fundamental mission: rapid threat monitoring, threat detection, threat investigation, and threat neutralization. LogRhythm SIEM is for organizations that require an on-premises solution and offers:
● Streamlined workflow
● Secure data access
● Real-time visibility
● A unified user experience
● Management customization
Security information and event management (SIEM) solutions have been evolving for over a decade; their core functionality still acts as the most effective foundation for any organization’s technology stack. A SIEM solution enables an organization to centrally collect data across its entire network environment to gain real-time visibility into activity that may pose a risk to the organization. SIEM technology addresses threats before they become significant financial risks while simultaneously helping better manage an organization’s assets.
LogRhythm SIEM has many key features and capabilities, including:
● High-Performance Log Management: LogRhythm SIEM offers structured and unstructured search capabilities which allows users to swiftly search across an organization’s vast data to easily find answers, identify IT and security issues, and troubleshoot issues. Users can efficiently process and index terabytes of log data daily.
● Network and Endpoint Monitoring: Forensic sensors allow users to gain deep visibility into endpoint and network activity. Users can see behavioral anomalies and better respond to incidents.
● SmartResponse™ Automation: LogRhythm SIEM allows users to centrally execute pre-staged actions that automate incident investigatory tasks and responses.
● Automated Machine Analytics: LogRhythm SIEM's AI Engine continuously analyzes all collected security incidents and forensic data. Security teams are delivered precise, real-time intelligence about risk-prioritized threats.
● Case and Security Incident Management: LogRhythm SIEM offers an integrated workflow so that threats don’t slip through the cracks. Collaboration tools help centrally manage and track investigations.
● User and entity behavior analytics (UEBA): Embedded deterministic UEBA monitoring helps protect against insider threats.
● Security orchestration, automation, and response (SOAR): LogRhythm SIEM includes our embedded SOAR solution to increase efficiency and higher-quality incident response with low mean time to response (MTTR).
Benefits to Using LogRhythm SIEM
● The platform offers great value to security and IT operations. Users have the ability to map their security and IT operations to existing frameworks such as NIST and MITRE ATT&CK.
● The platform offers broad integration across security and IT vendors: Users benefit from support for integration with hundreds of security and IT solutions. In turn, this further extends SIEM capabilities and data collection.
● The platform provides compliance adherence, enforcement, and reporting: The prebuilt compliance modules automatically detect violations as they occur and remove the burden of manually reviewing audit logs.
Reviews from Real Users
LogRhythm SIEM stands out among its competitors for a number of reasons. Two major ones are its ability to be customized and its quick performance of queries.
Jason G., a senior cybersecurity engineer, writes, "I have found the Advanced Intelligence Engine has provided the most value to us because we can customize alarms based on our requirements and have created hundreds of alarms that notify different people for different scenarios."
Andy W., principal consultant at ITSEC Asia, notes, “LogRhythm SIEM covers all our primary security analysis needs. It makes it easier for us to analyze threats and improves our response times. It's a versatile platform that performs queries fast compared to other SIEM solutions.”
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.
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