Logpoint and Kaspersky Anti-Targeted Attack Platform are two competing cybersecurity solutions. Logpoint offers favorable pricing and support, while Kaspersky stands out with comprehensive features and performance that justify its higher cost.
Features: User reviews highlight Logpoint's robust log management, intuitive user interface, and effective threat detection. Kaspersky is praised for advanced threat detection, extensive coverage of attack vectors, and sophisticated mitigation techniques. Kaspersky edges out Logpoint with broader and more refined features.
Room for Improvement: Logpoint users suggest enhancements in integration capabilities, more detailed reporting functions, and better scalability. Kaspersky users desire improved scalability options, reduced system resource consumption, and more user-friendly interfaces. Both products have specific areas that need development based on user feedback.
Ease of Deployment and Customer Service: Users find Logpoint straightforward to deploy with responsive support. Kaspersky users mention a more complex deployment process but commend its detailed guidance and support resources. Logpoint is easier to deploy, while Kaspersky's customer service is highly regarded.
Pricing and ROI: Logpoint is noted for reasonable setup costs and good return on investment. Kaspersky, with higher upfront costs, delivers significant ROI through advanced features and security, justifying its higher price with superior long-term value.
Today’s cybercriminals constantly design unique and innovative methods of penetration and compromise. To avoid perimeter prevention technologies they use social engineering, non-malware and supply chain attacks to operate under the radar of security designed to catch ‘bad’ traces. It’s not enough to just ‘know’ what’s bad or dangerous – enterprises need to understand what’s normal, and use AI-driven techniques that simplify and automate this process. Targeted Attack Analyzer is a machine learning engine that involves self-learning to establish the baseline of normal, legitimate activities of an entire network. Through continuous network telemetry collection it finds deviations, detects suspicious activities and predicts further malicious actions at the initial stages of multilayered attacks.
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:
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.”
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