Our Patents
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LUCIDUM PATENTS:
Lucidum’s recent patents and patent applications introduce transformative innovations designed to enhance cybersecurity operations by improving asset visibility, risk evaluation, and security data processing. Here’s an expanded, technical analysis of the core technologies, with insights into their application and impact:
1.
Patent 11,782,912: Asset User Discovery, Data Classification, and Risk Evaluation (Granted October 2023)
This patent introduces a method for real-time asset discovery, identifying both managed and unmanaged assets across an organization’s IT ecosystem. By classifying data according to its sensitivity and evaluating associated risks, the system ensures comprehensive visibility and security awareness.
- Technical Insight: The ability to assess risk dynamically means that as new assets or users enter the environment, the system can immediately apply predefined risk criteria to determine the potential threat they pose. This automated risk evaluation reduces the time spent on manual asset inventory processes and enhances threat detection accuracy.
- Key Benefit: By automating data classification and risk evaluation, organizations can identify vulnerabilities and respond to threats faster, minimizing potential security breaches. This method is particularly valuable in environments with frequent changes, such as hybrid cloud and IoT-enabled infrastructures.
2.
Patent Application 18/889,674: Security Data Ingestion and Processing (Filed 9/19/24)
This patent application outlines an innovative framework for ingesting and processing large volumes of security data from diverse sources (SIEMs, threat intelligence feeds, security tools, etc.). The platform integrates and normalizes data to enable seamless security operations and faster decision-making.
- Technical Insight: By automating data ingestion pipelines and optimizing the processing of this data, Lucidum enables scalable security analytics across vast infrastructures. This allows security teams to analyze high volumes of data in near real-time without the performance bottlenecks often seen in traditional systems. Advanced machine learning models help detect emerging threats by correlating data from multiple sources, increasing threat detection accuracy.
- Key Benefit: The efficient data flow enhances threat visibility, enabling faster incident response and decision-making processes. Additionally, by handling large datasets automatically, organizations reduce operational overhead, streamlining threat management processes.
3.
Patent Application 18/889,648: Data Security System Asset and User Identity Management (Filed 9/19/24)
This application focuses on asset and user identity management, creating a linked identity system where user behavior is tied to specific assets within the enterprise network. This approach strengthens both access controls and asset tracking.
- Technical Insight: The integration of asset identity with user identity allows for granular access control—ensuring that users are only able to access data and systems that are relevant to their roles. This is particularly important for preventing insider threats and privilege escalation attacks by ensuring that user permissions are constantly monitored and updated based on their roles and activities.
- Key Benefit: This system offers greater visibility into user interactions with critical assets, enabling security teams to track and audit activity, reducing the risk of data breaches and ensuring tighter compliance with regulations such as GDPR and HIPAA.
4.
Patent Application 18/889,643: Labels for Data Security System Asset Management (Filed 9/19/24)
This application introduces a labeling system for asset management, enabling the tagging of assets with security-related attributes such as risk level, sensitivity, and security posture.
- Technical Insight: Labels serve as a metadata layer that provides both context and visibility for every asset in the system. These labels are continuously updated in real-time as assets evolve or change, ensuring that risk assessments reflect current conditions. Security teams can use these labels to automatically prioritize assets based on their risk level, enabling more efficient resource allocation and faster mitigation of vulnerabilities.
- Key Benefit: This dynamic asset classification ensures that security teams can efficiently prioritize their efforts, focusing on high-risk or mission-critical assets first. Additionally, it supports automated workflows, allowing organizations to respond quickly to newly discovered vulnerabilities and threats.
5.
Patent Application 18/889,638: Common Vulnerabilities and Exposure Scaling (Filed 9/19/24)
This system focuses on scaling CVE (Common Vulnerabilities and Exposures) assessments according to the context of the specific enterprise environment, ensuring that vulnerabilities are ranked and mitigated based on the organization’s unique risk profile.
- Technical Insight: By scaling CVE assessments, this technology enables organizations to prioritize vulnerabilities based not just on their severity but also on their relevance to the specific IT environment. For example, a vulnerability affecting a legacy system may not pose the same risk as one impacting a cloud infrastructure or critical business application. This system leverages contextual analysis to ensure that security teams focus on the most urgent vulnerabilities.
- Key Benefit: This contextual scaling ensures that organizations are not overwhelmed by irrelevant vulnerabilities, making risk management more efficient and aligned with the organization’s security priorities. By automating the prioritization of vulnerabilities, this system reduces the potential for costly data breaches while ensuring that security efforts are targeted and effective.
WE ARE:
The Future of Security with Lucidum's Innovations
Lucidum’s patented technologies push the boundaries of traditional cybersecurity solutions by introducing an integrated, data-driven approach to asset management, risk assessment, and vulnerability management. These innovations are foundational to their Security Data Fabric—a unified architecture that gives organizations real-time visibility, automated risk evaluation, and enhanced decision-making capabilities. By breaking down data silos and automating critical processes, Lucidum empowers security teams to act faster, reduce risk, and ultimately enhance organizational resilience.
These patented solutions position Lucidum at the forefront of the cybersecurity landscape, helping enterprises stay ahead of evolving threats while reducing operational costs.
