Compare Criminal IP ASM vs. Ivanti Neurons for RBVM

Criminal IP's Attack Surface Management (ASM) is an intelligence-driven platform designed to continuously identify, catalog, and oversee all internet-connected assets linked to an organization, including overlooked and shadow resources, enabling teams to understand their actual external exposure from the perspective of potential attackers. This solution integrates automated asset detection with open-source intelligence (OSINT) methods, artificial intelligence enhancements, and sophisticated threat intelligence to reveal exposed hosts, domains, cloud services, IoT devices, and other internet-facing entry points, while also collecting evidence such as screenshots and metadata, and linking findings to known vulnerabilities and attacker techniques. By evaluating exposures through the lens of business relevance and risk, ASM emphasizes vulnerable elements and misconfigurations, providing instantaneous alerts and interactive dashboards that facilitate quicker investigations and remediation efforts. Furthermore, this comprehensive tool empowers organizations to proactively manage their security posture, ensuring that they remain vigilant against emerging threats.

Ivanti Neurons for Risk-Based Vulnerability Management (RBVM) helps security and IT teams cut through the noise of large volumes of known vulnerabilities by focusing remediation efforts where they matter most. Rather than reacting to every scan finding, the platform continuously correlates your infrastructure against threat intelligence, pen test results, and asset criticality to surface the vulnerabilities that present meaningful risk to your organization. Ivanti's proprietary Vulnerability Risk Rating scoring goes beyond standard vulnerability severity scoring to account for real-world exploit likelihood, including ransomware ties, so your team always knows what to fix first. Move from vulnerability detection to remediation more quickly, with a single unified interface built for security teams of every level.