{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9853992","patent":{"patent_number":"US-9853992","title":"Cloud service usage risk analysis based on user location","assignee":null,"inventors":[],"filing_date":"2016-05-02T00:00:00.000Z","publication_date":"2017-12-26T00:00:00.000Z","cpc_codes":["H04L","H04L","H04L","H04L"],"num_claims":19,"abstract":"A system and method for filtering detected anomalies in cloud service usage activities associated with an enterprise uses a trusted location analysis to filter detected anomalies. The locations from which the cloud usage activities are made are analyzed and designated as trusted or non-trusted. The trusted location determination is used to filter the detected anomalies that are associated with trusted locations and therefore may be of low risk. In this manner, actions can be taken only on detected anomalies that are associated with non-trusted locations and therefore may be high risk. The system and method of the present invention enable security incidents, anomalies and threats from cloud activity to be detected, filtered and annotated based on the location heuristics. The trusted location analysis identifies trusted locations automatically using cloud activity usage data and does not rely on potentially unreliable location data from user input."},"analysis":{"summary":"The Cloud Service Usage Risk Analysis Based on User Location patent presents a system and method for enhancing cloud security by filtering detected anomalies based on the location of user activity. The core innovation lies in automatically identifying trusted locations and using this information to prioritize security alerts, reducing false positives and alert fatigue. The problem being solved is the inefficiency of traditional security systems that generate a high volume of alerts, many of which are benign. The key technical approach involves analyzing the locations from which cloud usage activities are made, designating them as trusted or non-trusted, and then filtering anomalies based on this designation. This allows security teams to focus on high-risk activities associated with non-trusted locations. The business value lies in improved security posture, reduced operational costs, and enhanced efficiency of security teams. The market opportunity is significant, as organizations increasingly rely on cloud services and require more sophisticated security solutions. This technology offers a proactive and cost-effective approach to cloud security risk management, making it a valuable asset for any organization using cloud services.","layman_explanation":"Cloud Service Usage Risk Analysis Based on User Location is a system designed to improve the security of your data and applications in the cloud. Think of it like this: your bank knows where you usually make transactions – your local branch, your home computer, etc. If a transaction suddenly comes from a country you've never visited, the bank flags it as suspicious. This patent does something similar for your cloud activity. It learns where your employees and applications typically access the cloud from, and if it sees activity coming from an unusual location, it raises a red flag. The problem it solves is that traditional security systems generate a lot of false alarms. This system reduces those false alarms by focusing on location, which helps security teams focus on genuine threats. This matters because it saves time and money, and it makes your data more secure. In the future, this technology could be used to automatically block access from suspicious locations, providing even greater protection.","technical_analysis":"The Cloud Service Usage Risk Analysis Based on User Location patent details a system designed to enhance cloud security through location-based anomaly filtering. The technical architecture revolves around a central processing unit that analyzes cloud usage activity logs. These logs are parsed to extract location data, typically IP addresses, which are then geolocated. The system maintains a database of trusted locations, which are automatically identified based on historical usage patterns. Algorithms are employed to determine the trust score of each location, taking into account factors such as frequency of access, time of access, and user identity. When an anomaly is detected, the system checks the location of the activity against the database of trusted locations. If the activity originates from a trusted location, the anomaly is filtered out or assigned a lower priority. If the activity originates from a non-trusted location, the anomaly is flagged as high-risk and requires immediate investigation. The system can be integrated with existing SIEM systems through APIs, allowing for seamless integration with existing security workflows. Performance characteristics are optimized through caching of location data and parallel processing of activity logs. Code-level implications involve the use of efficient data structures and algorithms for location analysis and anomaly detection. The system is designed to be scalable and can handle large volumes of cloud usage data.","business_analysis":"The Cloud Service Usage Risk Analysis Based on User Location patent addresses a significant market need for improved cloud security solutions. The market opportunity is substantial, as organizations increasingly rely on cloud services and face growing threats from cyberattacks. The competitive advantages of this technology lie in its ability to automatically identify trusted locations and filter anomalies based on location data. This reduces false positives, improves security response times, and enhances the efficiency of security teams. The revenue potential is significant, as organizations are willing to invest in solutions that can protect their sensitive data and reduce the risk of security breaches. Potential business models include software licensing, subscription services, and managed security services. The strategic positioning of this technology is strong, as it offers a proactive and cost-effective approach to cloud security risk management. ROI projections are favorable, as the system can significantly reduce the costs associated with security incidents and improve the overall security posture of organizations. The system provides increased operational efficiency, and reduced potential cost from breaches.","faqs":[{"answer":"Cloud Service Usage Risk Analysis Based on User Location is a system and method designed to enhance cloud security by filtering detected anomalies in cloud service usage activities. The key innovation lies in its use of trusted location analysis to prioritize security alerts. This approach analyzes the locations from which cloud usage activities are made, designating them as either trusted or non-","question":"What is Cloud Service Usage Risk Analysis Based on User Location?"}],"topics":["cloud security","risk analysis","user location","anomaly detection","threat intelligence","cloud","service","usage"],"tech_cluster":null},"seo":{"title":"Cloud Service Usage Risk Analysis Based on User Location - Patent US-9853992","description":"Discover how Cloud Service Usage Risk Analysis Based on User Location enhances cloud security by filtering anomalies based on user location. Full patent analysis and claims.","keywords":["cloud security","risk analysis","user location","anomaly detection","threat intelligence","patent","patent US-9853992"]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9853992","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-9853992","citation_suggestion":"Patentable. \"Cloud service usage risk analysis based on user location\" (US-9853992). https://patentable.app/patents/US-9853992","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9853992","json":"https://patentable.app/api/llm-context/US-9853992","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T07:32:54.914Z"}