Logpoint vs Securonix Next-Gen SIEM comparison

Logpoint is a cutting-edge security information and event management (SIEM) solution that is designed to be intuitive and flexible enough to be used by an array of different businesses. It is capable of expanding according to its users' needs. 

Benefits of Logpoint

Some of the benefits of using Logpoint include:

• Unifies data logs: Logpoint creates a single system of classification for collected data. It makes it easy for users to search for and find data, which aids users when they are creating reports or alerts. Users can conserve resources while at the same time seeing a rise in the efficiency of their business operations.

• Intuitive solution design: Logpoint is designed so that anyone can utilize all of its features, even if they are not an expert in network security. Logpoint’s UI is simple enough that users can utilize it without undergoing extensive training. 

• Highly flexible: Logpoint is designed so that users can scale it linearly to accommodate projects that are large and complex. This allows users to expand the scope of their projects according to their needs without worrying that their infrastructure won’t be able to handle the increase in size. The solution’s security features can be deployed both on the cloud and in a physical environment. 

• Simple role-based access security: Logpoint allows administrators to employ Microsoft’s active directory (AD) and a Lightweight Directory Access Protocol to manage user access. These can help administrators protect their systems from being abused or otherwise harmed by bad actors. 

Reviews from Real Users

Logpoint is a security and management solution that stands out among its competitors for a number of reasons. Two major ones are its data gathering and artificial intelligence (AI) capabilities. Logpoint enables users to not only gather the data, but also to maximize both the amount of data that can be gathered and its usefulness. It removes many of the challenges that users may face in data collection. The solution allows users to set rules for collection and then it pulls information from sources that meet the rules that have been set. This data is then broken into manageable segments and ordered. Users can then analyze these ordered segments with ease. Additionally, LogPoint utilizes both machine learning and AI technology. Users gain the ability to protect themselves from and if necessary resolve emerging threats as soon as they arise. The AI sets security parameters for a user’s system. These act as a baseline that are triggered and notify the user if anything deviates from the rules that it set up. 

The chief infrastructure & security officer at a financial services firm writes, “It is a very comprehensive solution for gathering data. It has got a lot of capabilities for collecting logs from different systems. Logs are notoriously difficult to collect because they come in all formats. Logpoint has a very sophisticated mechanism for you to be able to connect to or listen to a system, get the data, and parse it. Logs come in text formats that are not easily parsed because all logs are not the same, but with Logpoint, you can define a policy for collecting the data. You can create a parser very quickly to get the logs into a structured mechanism so that you can analyze them.”

A. Secca., a Cyber Security Analyst at a transportation company, writes, “It is an AI technology because it is using machine learning technology. So far, there is nothing better out there for UEBA in terms of monitoring endpoints and user activity. It is using machine learning language, so it is right at the top. It provides that capability and monitors all of the user’s activities. It devises a baseline and monitors if there is any deviation from the baseline.”

Securonix Security Analytics SNYPR is a next-generation security analytics platform that transforms big data into actionable security intelligence, enabling you to take care of so much more than simply your SIEM (security information and event management) needs. In addition, it contains all of the tools that you may need to enable your organization to successfully handle both log management as well as UEBA (user and entity behavior analytics)-related tasks. The SNYPR management platform gives users the ability to combine security orchestration, automation, and response, security information and event management, network traffic analysis, and user and entity behavior analytics. This single technical environment does away with your need for multiple security, management, and analytics solutions.

Securonix Security Analytics SNYPR’s unified platform can be scaled up to handle up to one million security events every second. While this load may seem heavy, SNYPR handles it with ease. It is able to reduce incidents of false security positives by 60%. The access certification workload that IT administrators and managers need to deal with can be reduced by as much as 90%.

The model that this platform uses is based on a machine learning algorithm. This model gives Securonix Security Analytics’s SNYPR platform a number of extremely valuable capabilities. The platform gathers many different types of data and applies what it learns to threats as they arise. The system assigns threats risk values to determine where the areas of highest need are. Machine learning also allows you to respond to slow acting threats by using historical data to inform your response.

All of the data that the system gathers is stitched together and used to create a complete picture of the risks that the system faces. Any blind spots that may exist are exposed by the collaborative UI that compiles the system data in a single location. This also increases your ability to monitor advanced application threats. 

Key Features

Some of Securonix Security Analytics’s SNYPR platform’s key features include:

• The ability to enrich all data that the SNYPR platform collects. When SNYPR gathers information, it applies relevant data which can be used in the future to gauge whether or not a particular event is a threat.
• The ability for data redundancy to automatically take place. All of the data that is gathered, analyzed, and processed by SNYPR is automatically copied and distributed across the system. If there is a failure in any particular part of the system, the information will still be preserved.
• The ability to track historical issues and use that information to help deal with current threats. The SPOTTER feature allows analysts to look back at both old data and the contextual information that is attached to it. They can then use that data to inform their responses to similar threats that they are currently dealing with.

Reviews from Real Users

Securonix Security Analytics SNYPR platform stands out among its competitors for a number of reasons. Two major ones are its ability to significantly reduce the number of false positives that administrators have to deal with and the way that it incorporates contextual information into security events to reduce the time spent finding solutions to problems that arise.

Peerspot users note the effectiveness of these features. One user wrote, “Securonix’s analytics-driven approach for helping to find sophisticated threats and reduce false positives is pretty good. We are allowed to fine-tune according to our requirements and our clients' requirements, which does reduce false positives. In the last 24 hours, the total number of policies with triggers was 233. When I started with this product, the false positives were 561. Therefore, the solution has helped by tuning or reducing false positives.”

Another user noted, “The way that a Securonix is able to put a lot of the contextual information into the events is very helpful. That has reduced the amount of time required for investigating, ‘Hey, this might be something I need to look at,’ and then doing further research. It puts all of those violations in one event or case, so that you can look at different types of violations that all correlate. That has reduced the amount of time for researching some of those cases. It's dependent upon the scenario, but in some cases it could save an hour of going out and doing a bunch of individual searches.”