
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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PIX4Dcatch
By simply traversing around open trenches, you can create geolocalized models that allow for precise documentation and volume calculations essential for invoicing purposes. This process enables the swift and accurate collection, processing, and visualization of as-built measurements and 3D models, even under challenging conditions. In just a matter of minutes, you can complete an entire survey, resulting in a 3D point cloud, a digital surface model, and a true orthomosaic of the surveyed area. Additionally, it allows for the construction of detailed 3D collision scenes, incorporation of specific measurements, and sharing of insights seamlessly with leading forensic software platforms. To produce georeferenced 3D models, the captured images can be conveniently uploaded to PIX4Dcloud or exported to PIX4Dmatic, ensuring versatility in handling the data. This streamlined approach not only enhances productivity but also improves the accuracy of the results.
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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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