Fortinet FortiGate vs Splunk User Behavior Analytics comparison

Fortinet FortiGate excels in providing integrated VPN, firewalling, and Unified Threat Management (UTM) with centralized management and high availability. It supports remote access and comprehensive threat protection, making it a preferred choice for securing networks.

Fortinet FortiGate offers a robust security platform with features such as strong intrusion prevention, application control, and web filtering. Its integration with Active Directory and SD-WAN functionality provides scalable solutions for large networks. Users appreciate its ease of use through centralized management interfaces, ensuring robust security with flexible configurations. However, FortiGate could enhance its graphical interface and technical support responsiveness, address firmware bugs and costly licensing, improve logging, integrate better with third-party tools, and strengthen scalability and memory for log storage. Complexity in configuration and the need for intuitive features are noted challenges, and there's a demand for advanced security, zero-trust capabilities, and AI integration.

• VPN: Secure remote access and connectivity.
• Firewalling: Protects networks from unauthorized access and attacks.
• UTM: Offers a comprehensive approach to threat management.
• SD-WAN: Optimizes traffic routing for efficient network performance.
• Web Filtering: Controls and monitors web access and ensures Internet security.

• Centralized Management: Simplifies administration and monitoring.
• High Availability: Ensures consistent security and network availability.
• Scalability: Adapts to the needs of growing networks.
• Comprehensive Threat Protection: Provides robust security measures.
• Ease of Use: Minimizes the complexity of security management.

Fortinet FortiGate is widely implemented across industries like education, finance, and government. Companies use it for firewall protection, VPN, and SD-WAN capabilities, ensuring secure perimeter and data center security. It facilitates remote access management and traffic routing optimization, offering reliable security and connectivity solutions.

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.