Compare Fidelis Network vs. ThreatProwler

To effectively identify sophisticated threats, it is essential to conduct thorough inspection, extraction, and real-time analysis of all types of content traversing the network. Fidelis' network detection and response technology systematically scans all ports and protocols in both directions, gathering extensive metadata that serves as the foundation for robust machine-learning analytics. By utilizing sensors for direct, internal, email, web, and cloud communications, you achieve comprehensive network visibility and coverage. The tactics, techniques, and procedures (TTPs) of identified attackers are aligned with the MITRE ATT&CK™ framework, enabling security teams to proactively address potential threats. While threats may attempt to evade detection, they ultimately cannot escape. You can automatically profile and categorize IT assets and services, including enterprise IoT devices, legacy systems, and shadow IT, to create a detailed map of your cyber landscape. Furthermore, when combined with Fidelis' endpoint detection and response offering, you obtain a software asset inventory linked to known vulnerabilities, such as CVE and KB references, along with an assessment of security hygiene concerning patches and the status of endpoints. This comprehensive approach equips organizations with the tools needed to maintain a resilient cybersecurity posture.

ThreatProwler serves as a continuous threat exposure management (CTEM) solution that thoroughly examines your digital landscape, information assets, and applications to uncover every potential threat that may jeopardize your operations. By integrating the latest in threat intelligence, along with insights from the dark web and data breach information, it stands out as the most all-encompassing threat management tool designed specifically for small and medium-sized enterprises. Additionally, ThreatProwler boasts enterprise-level capabilities such as automatic asset identification and scoping, which helps in revealing shadow assets while allowing users to exclude certain assets from scanning. It also features comprehensive prioritization by threat severity metrics (CVSS, EPSS, KEV) and asset-specific configurations, including the option to set annualized loss expectancy. Furthermore, users benefit from an AI-driven Attack Likelihood Score (ALS), which is supported by the world's largest repository of cyber incidents and mapped to MITRE ATT&CK frameworks to estimate potential impacts accurately. This combination of features ensures that businesses can effectively manage and mitigate their cybersecurity risks.