
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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Josys is an AI-native identity security and governance platform built for the age of enterprise AI. As AI adoption accelerates, identity has become the fastest-growing attack surface and the hardest to govern. Josys discovers, governs, and secures every identity in the enterprise, human, machine, and AI agent, across every application. Its policy-led model lets security and IT teams set access policies once and enforce them autonomously: risk gets surfaced, access gets controlled, and identity threats get remediated in real time, with no manual oversight required. Over 1,000 organizations and MSPs worldwide trust Josys to turn identity from a liability into an autonomously governed advantage. Learn more at josys.com.
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TOMOXPro
This software suite encompasses the design of crosshole surveys, model construction, data preprocessing, CDP transformation, tomography, wave-equation migration, and post-processing functionalities. It provides a comprehensive set of tools essential for executing a crosshole seismic undertaking efficiently. The model incorporates P- and S-wave velocities, density measurements, and anisotropic characteristics. Users have the flexibility to generate complex velocity models that can include layers, structures, and faults. Additionally, it employs acoustic, elastic, and anisotropic finite-difference methods to enable full wavefield simulations, ensuring high accuracy and versatility in seismic analysis. This extensive set of features makes it an indispensable resource for geophysical professionals.
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Aspen GeoDepth
The process of advanced velocity determination combined with 3D and 2D velocity model construction results in precise and high-quality seismic images that are interpretable in both time and depth. An extensive range of interactive and batch tools for analyzing anisotropic models effectively addresses a wide array of seismic imaging challenges. By integrating interpretation and modeling solutions, the workflow is optimized, minimizing data loss while adhering to geological constraints. The construction of accurate 3D and 2D models is straightforward, making it feasible regardless of the complexity of the underlying structural geology. Furthermore, the system is designed to operate efficiently with highly parallelized capabilities, accommodating extensive 3D datasets and multi-line 2D datasets, whether on-premises or in cloud environments. Accurate seismic images and reliable depth models play a critical role in hydrocarbon exploration and production efforts. The Aspen GeoDepth velocity determination and modeling system provides an effective means for enhancing seismic imaging, facilitating the integration of various processes such as interpretation, velocity analysis, model construction, and time-to-depth conversion, ultimately leading to better decision-making in exploration projects. This comprehensive approach not only improves the quality of the seismic data but also supports more informed resource management strategies.
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