SOCRadar Extended Threat Intelligence
SOCRadar Extended Threat Intelligence is a holistic platform designed from the ground up to proactively detect and assess cyber threats, providing actionable insights with contextual relevance. Organizations increasingly require enhanced visibility into their publicly accessible assets and the vulnerabilities associated with them. Relying solely on External Attack Surface Management (EASM) solutions is inadequate for mitigating cyber risks; instead, these technologies should form part of a comprehensive enterprise vulnerability management framework. Companies are actively pursuing protection for their digital assets in every potential exposure area. The conventional focus on social media and the dark web no longer suffices, as threat actors continuously expand their methods of attack. Therefore, effective monitoring across diverse environments, including cloud storage and the dark web, is essential for empowering security teams. Additionally, for a thorough approach to Digital Risk Protection, it is crucial to incorporate services such as site takedown and automated remediation. This multifaceted strategy ensures that organizations remain resilient against the evolving landscape of cyber threats.
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ThreatLocker
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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12Port Horizon
Our platform, which operates without agents, enables rapid segmentation of network workloads while restricting unauthorized traffic to thwart lateral movement and prevent breaches. Safeguarding IT assets across physical, virtual, and cloud settings is becoming increasingly intricate. Conventional security measures often fall short against advanced threats. By utilizing microsegmentation, we can effectively isolate workloads, oversee east-west traffic, and stop the spread of attackers to vital areas, thereby bolstering overall network security. You can create and implement security policies based on asset classification through the use of hierarchical taxonomies and tagging. Additionally, by enforcing stringent access controls and consistently monitoring service traffic, we align with zero trust principles, crafting a robust and adaptable security framework. The 12Port Horizon boasts an agentless architecture, which streamlines deployment and upkeep in various environments without introducing added complexity, making it a valuable asset for organizations seeking effective security solutions. This approach not only enhances security but also simplifies the management of your network infrastructure.
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Resurface
Resurface is a runtime API security tool. Resurface continuous API scanning allows you to detect and respond in real time to API threats and risks. Resurface is a purpose-built tool for API data. It captures all request and response payloads, including GraphQL, to instantly see potential threats and failures. Receive alerts about data breaches for zero-day detection.
Resurface is mapped to OWASP Top10 and alerts on threats with complete security patterns. Resurface is self-hosted and all data is first-party.
Resurface is the only API security system that can be used to perform deep inspections at scale. Resurface detects active attacks and alerts them by processing millions of API calls. Machine learning models detect anomalies and identify low-and slow attack patterns.
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