Criminal IP ASM
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
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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Fork
Fork is an innovative SaaS solution tailored for threat modeling, empowering both security and product teams to carry out continuous, risk-focused evaluations of applications by leveraging the proven PASTA (Process for Attack Simulation and Threat Analysis) methodology. This functionality enables teams to quickly pinpoint the most likely and critical risks within a two-hour timeframe, ensuring that security protocols are effectively aligned with organizational goals. By integrating specialized threat libraries alongside up-to-date vulnerability data and threat intelligence, Fork provides precise measurements of residual risks and supports thorough business impact assessments. The platform incorporates stringent quality controls throughout the threat modeling process to boost overall efficacy. Moreover, Fork offers a unified security insights dashboard that connects threats directly to the application's attack surface, while also incorporating well-established frameworks and taxonomies such as MITRE, OWASP, CWE, CVE (with EPSS), CAPEC, ATT&CK, D3FEND, and ASVS, facilitating targeted mitigation strategies and actionable results. This holistic strategy not only strengthens the security posture of organizations but also promotes synergy between technical experts and business stakeholders, leading to enhanced decision-making and risk management. In doing so, Fork transforms threat modeling into a collaborative effort that drives both security and business success.
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Devici
Devici helps security and engineering teams build threat models that are consistent, reviewable, and easy to maintain as systems evolve. It focuses on capturing the architecture first, using a visual canvas where teams lay out processes, data stores, external entities, and trust boundaries. As components are described and attributes are applied, Devici identifies relevant threats and suggested mitigations from its built-in library, reducing the manual effort normally required to reason through diagrams or ad-hoc checklists.
The tool is designed so that AppSec specialists, developers, and security champions can work together without specialized training. Real-time editing, in-model comments, and version history support collaborative reviews and allow teams to trace how decisions and risks change over time. Reusable templates and patterns make it simple to model common services or shared architecture pieces, helping larger organizations avoid duplicated work across teams.
Devici also supports pushing mitigation tasks into existing development workflows through optional integrations, ensuring threat modeling outputs don’t remain isolated from day-to-day engineering. Its structure helps organizations move away from one-off diagrams and inconsistent documentation toward a predictable, repeatable approach that fits into modern development practices. Overall, Devici offers a practical way to raise the quality and clarity of threat modeling efforts without requiring complex onboarding or heavyweight tooling.
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