(10) Fc Rapid Review 7.26.2024

Employee Risk Management AI 10.2

Dune Security - Crew Capital

PROBLEM Organizations face significant challenges in managing employee-related risks, including compliance breaches, insider threats, and data misuse. Traditional risk management systems often lack the sophistication to analyze complex behaviors, leading to gaps in security and compliance. Additionally, the manual processes involved are time-consuming and prone to human error, which further exacerbates risk exposure.

IS THIS A REAL PROBLEM THAT NEEDS TO BE SOLVED?

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SOLUTION Our solution leverages AI-driven analytics to monitor and manage employee risk, supported by a modern security awareness training content library. By integrating advanced machine learning algorithms, it identifies and predicts risky behaviors, providing real-time alerts and comprehensive risk profiles. Targeted training suggestions are provided for high-risk employees. We automate compliance checks and insider threat detection, ensuring continuous protection against data breaches. Key features include behavior-based risk scoring, automated reporting, and seamless integration with existing security infrastructure.

DO YOU AGREE WITH THIS APPROACH?

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HOW INTERESTED ARE YOU IN A PRODUCT PREVIEW WHEN THE BETA OR PROTOTYPE IS READY?
1 = No Interest: Do not want to hear more/again
2 = Small Interest: Open to hearing more IF it evolves further or pivots
3 = Modest Interest: Open to receiving a 1-pager and/or pre-recorded demo
4 = Interested: Open to a group zoom or meeting with others
5 = Very Interested: Open to meeting 1-on-1 via zoom or in-person

HOW INTERESTED ARE YOU IN ADVISING THIS COMPANY FOR EQUITY COMPENSATION?
1 = No Interest
2 = Slight Interest: Open to learn more IF I am their Ideal Mentor
3 = Modest Interest: Open to receiving the founders' contact info
4 = Interested: Open to an email introduction
5 = Very Interested: Open to meeting the founders 1-on-1 over zoom or in-person (coordinated by Fc)