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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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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ArcGIS Geostatistical Analyst
Predicting and modeling spatial phenomena through real-world observations can often be challenging and impractical. The ArcGIS Geostatistical Analyst tool enables the creation of optimal surfaces derived from sample data, facilitating improved decision-making through the evaluation of predictions. This functionality proves particularly beneficial for various fields such as atmospheric data analysis, exploration in petroleum and mining, environmental assessments, precision agriculture, as well as fish and wildlife research. Equipped with a collection of interactive tools, the ArcGIS Geostatistical Analyst extension allows users to visually explore their data prior to conducting a thorough analysis. In cases where data may be incomplete or contain errors, this tool offers a probabilistic framework that helps quantify uncertainties effectively. Users can generate multiple surface versions to conduct comprehensive risk analyses. Additionally, geostatistical simulation generates a range of surfaces that replicate the actual phenomenon and present possible value outcomes, enhancing the robustness of spatial analysis. By leveraging these capabilities, users can make more informed decisions based on a clearer understanding of the data uncertainties involved.
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Identify essential failure surfaces and determine the appropriate factor of safety by utilizing a blend of global metaheuristic search techniques alongside local surface-modifying technologies. By incorporating parallel processing for both failure detection and factor of safety calculations, outcomes can be produced in a matter of minutes. Enhance your workflow and gain more comprehensive insights by seamlessly integrating 3D wireframes that depict surveyed terrain, geological layers, modeled faults, and more into your 3D models. The process of constructing slope stability models has never been more efficient or expedient. You can either import surfaces from geological modeling or mine planning software or utilize integrated surface construction techniques based on coordinates or borehole information. Additionally, you have the option to create surfaces from point cloud data or import block models from various applications, including Leapfrog, Deswik, Datamine, and Vulcan, ensuring versatility and precision in your modeling efforts. This advancement not only accelerates the modeling process but also provides richer and more accurate representations of geological conditions.
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