Arceo Labs Inc. (20240380777). DETERMINING ADDITIONAL SIGNALS FOR DETERMINING CYBERSECURITY RISK simplified abstract
Contents
DETERMINING ADDITIONAL SIGNALS FOR DETERMINING CYBERSECURITY RISK
Organization Name
Inventor(s)
Ann Irvine of Baltimore MD (US)
Robert Mealey of Baltimore MD (US)
Russell Snyder of Baltimore MD (US)
DETERMINING ADDITIONAL SIGNALS FOR DETERMINING CYBERSECURITY RISK - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240380777 titled 'DETERMINING ADDITIONAL SIGNALS FOR DETERMINING CYBERSECURITY RISK
The abstract of the patent application describes a method for determining cybersecurity risk by obtaining signals associated with the risk, including technographic signals and query-derived signals, combining them into a Bayesian model, and determining additional signals to impact the risk.
- Signals obtained include technographic signals and query-derived signals.
- Signals are combined into a Bayesian model to indicate cybersecurity risk.
- Additional technographic signals or query-derived signals are determined to impact the risk.
- The additional signals are computed to influence the cybersecurity risk.
Potential Applications: - Enhancing cybersecurity risk assessment processes - Improving threat detection and mitigation strategies - Strengthening overall cybersecurity posture for organizations
Problems Solved: - Enhances the accuracy and effectiveness of cybersecurity risk assessments - Provides a more comprehensive view of potential risks - Enables proactive measures to address cybersecurity threats
Benefits: - Improved cybersecurity risk management - Enhanced threat detection capabilities - Better protection of sensitive data and systems
Commercial Applications: Title: Advanced Cybersecurity Risk Assessment Technology This technology can be utilized by cybersecurity companies, IT departments, and organizations handling sensitive data to enhance their security measures and protect against cyber threats. It can also be integrated into security software and platforms to provide advanced risk assessment capabilities.
Questions about Cybersecurity Risk Assessment: 1. How does this technology improve upon traditional cybersecurity risk assessment methods? This technology enhances risk assessment by incorporating a wider range of signals and utilizing a Bayesian model to provide a more accurate indication of cybersecurity risk.
2. What are the potential implications of using additional technographic signals and query-derived signals in cybersecurity risk assessment? By incorporating these additional signals, organizations can gain a more comprehensive understanding of potential risks and take proactive measures to mitigate them.
Original Abstract Submitted
determining additional signals for determining cybersecurity risk is disclosed, including: obtaining signals associated with a cybersecurity risk, wherein the obtained signals include technographic signals and query derived signals obtained from queries; combining the technographic signals and the query derived signals into a bayesian model indicating the cybersecurity risk; and determining additional technographic signals or additional query derived signals associated with the cybersecurity risk to obtain such that the additional technographic signals or the additional query derived signals are to be computed to impact the cybersecurity risk.
