ThreatLocker is a Zero Trust security platform that stops cyber threats by allowing only approved applications and activity to run. It removes standing admin rights, enforces least privilege, and gives organizations precise control over software behavior. With capabilities like application control, ringfencing, and device and storage restrictions, it prevents ransomware, zero day exploits, and unauthorized actions before they can execute.
Purpose built for IT and security teams, ThreatLocker offers centralized management and full visibility across endpoints, users, and applications. It helps shrink the attack surface, restrict lateral movement, and meet compliance requirements with detailed auditing. Quick to deploy and easy to manage, the platform includes a large maintained application library and simplified approval workflows, enabling stronger security with less operational burden while keeping the business running smoothly.
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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.
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TrustMeter
TrustMeter gathers data from your network through controlled active scanning and retrieves identity details from services like Active Directory, as well as from cloud platforms such as AWS, Azure, and GCP, along with other identity providers. This collected information allows TrustMeter to identify both managed and unmanaged assets within your network, categorizing them into clients, servers, or cloud hosts. The report generated by TrustMeter outlines the overall exposure level and offers comprehensive insights into the network's topology. Additionally, you can perform a scan of the network directly from the data center to pinpoint problematic network paths, and by scanning from an internal host, you achieve complete visibility into the assets that can be accessed from a single machine within the network, thus enhancing security and management capabilities. Ultimately, this thorough approach ensures that organizations maintain a clear understanding of their network infrastructure and vulnerabilities.
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CyCognito
Using nation-state-grade technology, uncover all security holes in your organization. CyCognito's Global Bot Network uses an attacker-like reconnaissance technique to scan, discover, and fingerprint billions digital assets around the globe. No configuration or input required. Discover the unknown. The Discovery Engine uses graph data modelling to map your entire attack surface. The Discovery Engine gives you a clear view on every asset an attacker could reach, their relationship to your business, and what they are. The CyCognito risk-detection algorithms allow the attack simulator to identify risks per asset and find potential attack vectors. It does not affect business operations and doesn't require configuration or whitelisting. CyCognito scores each threat based on its attractiveness to attackers, and the impact on the business. This dramatically reduces the number of attack vectors organizations may be exposed to to just a few.
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