
Criminal IP's Attack Surface Management (ASM) is a cutting-edge platform driven by intelligence that seeks to constantly pinpoint, catalog, and supervise all internet-connected resources associated with an organization, including often ignored and shadow assets, thereby granting teams insight into their genuine external exposure as seen by potential attackers. This innovative solution combines automated asset identification with open-source intelligence (OSINT) techniques, enhancements via artificial intelligence, and advanced threat intelligence to uncover exposed hosts, domains, cloud services, IoT devices, and various other entry points on the internet, while also gathering evidence like screenshots and metadata, linking discoveries to known vulnerabilities and tactics used by attackers. By assessing exposures in terms of business significance and risk, ASM highlights vulnerable components and misconfigurations, delivering real-time alerts and interactive dashboards that streamline investigation and remediation processes. Moreover, this all-encompassing tool not only aids organizations in managing their security stance but also equips them to stay ahead of emerging threats by fostering a proactive security culture within their teams. Ultimately, the proactive management of attack surfaces can significantly enhance an organization's resilience against cyber risks.
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ThreatLocker is a Zero Trust platform designed to prevent cyber threats by ensuring only trusted applications and processes are allowed to operate. It eliminates persistent admin privileges, applies least privilege controls, and gives organizations granular control over how software runs. Through application allowlisting, ringfencing, and storage controls, it blocks ransomware, zero day attacks, and unauthorized behavior before anything can execute.
Built for today’s IT and security teams, ThreatLocker delivers centralized control and real time visibility across endpoints, users, and applications. It reduces attack surface, limits lateral movement, and supports compliance with detailed logging and audit trails. With rapid deployment, a continuously maintained application library, and efficient approval processes, organizations can enhance security while lowering operational complexity and maintaining uptime.
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Resurface
Resurface serves as a specialized tool for runtime API security, enabling continuous scanning that facilitates immediate detection and response to potential threats and vulnerabilities. Designed specifically for API data, it captures every request and response payload, including those from GraphQL, allowing users to quickly identify possible risks and failures. With its real-time alert system, Resurface notifies users about data breaches, providing zero-day detection capabilities.
Additionally, it aligns with the OWASP Top 10, offering alerts on various threats while employing comprehensive security patterns. As a self-hosted solution, it ensures that all data remains first-party and secure. Unique in its capabilities, Resurface can conduct extensive inspections at scale, efficiently detecting active attacks as it processes millions of API calls. Leveraging advanced machine learning models, it identifies unusual patterns and recognizes low-and-slow attack strategies, enhancing overall API security measures. This combination of features makes Resurface a crucial tool for any organization serious about safeguarding their APIs and mitigating risks.
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TrustMeter
TrustMeter systematically collects data from your network through controlled scanning techniques and gathers identity information from sources such as Active Directory, along with cloud platforms like AWS, Azure, GCP, and various identity providers. By analyzing this data, TrustMeter can effectively distinguish between managed and unmanaged assets in your network, organizing them into categories like clients, servers, or cloud hosts. The generated report not only highlights the overall level of exposure but also provides detailed insights into the topology of the network. Furthermore, users can conduct scans directly from the data center to identify problematic network paths, while scanning from an internal host grants complete visibility into the assets accessible from any single machine within the network. This dual-scanning capability significantly bolsters both security and management efforts. Ultimately, this comprehensive methodology ensures that organizations possess a thorough understanding of their network architecture and potential vulnerabilities, which is crucial for maintaining robust security practices.
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