Splunk User Behavior Analytics and Fortinet FortiGate IPS compete in the advanced security features category. Fortinet FortiGate IPS often has the upper hand due to its extensive feature set and perceived value.
Features: Splunk User Behavior Analytics provides robust detection of insider threats with advanced algorithms and comprehensive reporting. It is known for its predictive insights and powerful search capabilities leveraging a machine data platform. Splunk's solutions allow for integration and alert management, with user-friendly dashboards and straightforward configuration. Fortinet FortiGate IPS offers real-time threat prevention and extensive integration options with superior network performance. It features application control, firewall management, and SD-WAN capabilities, providing a user-friendly interface and stable platform for threat mitigation.
Room for Improvement: Splunk User Behavior Analytics could improve its deployment efficiency and reduce the time required for configuration. Enhancements in scaling its solutions could also be beneficial, as well as refining customization options to fit diverse environments better. Fortinet FortiGate IPS may work on integrating more innovative AI features and improving its UI further for non-expert users. Additionally, expanding support for more advanced security protocols and enhancing the flexibility of policy management could bolster its offerings.
Ease of Deployment and Customer Service: Fortinet FortiGate IPS is known for its streamlined deployment process and solid technical support, making it a preferred choice for users seeking quick implementation. In comparison, Splunk User Behavior Analytics has a more complex deployment, often requiring additional configuration time. Despite this, Splunk still offers robust customer support but is sometimes overshadowed by Fortinet's straightforward setup and resources.
Pricing and ROI: Splunk User Behavior Analytics involves a higher initial setup cost; however, its long-term ROI is significant due to its effective insider threat management. Conversely, Fortinet FortiGate IPS offers a more cost-effective initial investment with rapid ROI owed to its potent threat prevention capabilities. When considering budget constraints, Fortinet may appeal for immediate cost savings, while Splunk is better suited for those emphasizing longer-term security investment.
Fortinet FortiGate IPS is a highly effective intrusion detection and prevention solution. It is designed to secure a user’s system from end to end and ensure that users are equipped to handle even the most sophisticated threats. Organizations across a wide variety of industries trust IPS to help them prevent unwanted intrusions from harming their networks.
Fortinet FortiGate IPS Benefits
Some of the ways that organizations can benefit by choosing to deploy Fortinet FortiGate IPS include:
Fortinet FortiGate IPS Features
Reviews from Real Users
Fortinet FortiGate IPS is a highly effective solution that stands out when compared to many of its competitors. Two major advantages are the powerful zero-day protection features and the way it manages to compete with even its fiercest competitors.
Srahavan A., the CEO of a computer software company, said, “We like signature-based anomaly detection and zero-day protection features. For zero-day protection, we use Cloud Sandboxing, so whenever the zero-day threat occurs, it automatically sends it to its Cloud Sandbox. After getting information from Cloud Sandbox, then the intrusion is defined.”
Sachin V., a network administrator said, “We've found the most valuable feature to be the very user-friendly interface... It has a good set of UTM features, a good bandwidth shaping mechanism, and other features. It has efficient algorithms and it competes well with Palo Alto and TechPoint.”
Splunk User Behavior Analytics is a behavior-based threat detection is based on machine learning methodologies that require no signatures or human analysis, enabling multi-entity behavior profiling and peer group analytics for users, devices, service accounts and applications. It detects insider threats and external attacks using out-of-the-box purpose-built that helps organizations find known, unknown and hidden threats, but extensible unsupervised machine learning (ML) algorithms, provides context around the threat via ML driven anomaly correlation and visual mapping of stitched anomalies over various phases of the attack lifecycle (Kill-Chain View). It uses a data science driven approach that produces actionable results with risk ratings and supporting evidence that increases SOC efficiency and supports bi-directional integration with Splunk Enterprise for data ingestion and correlation and with Splunk Enterprise Security for incident scoping, workflow management and automated response. The result is automated, accurate threat and anomaly detection.
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