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Case Study

How Lemonade Accelerated Efficiency with Dropzone AI

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Company Profile

Lemonade, an AI-powered insurance company based in the United States, was founded in 2015. It offers various insurance products using AI technology to process claims and manage policies through an intuitive app. With a mission rooted in social impact, Lemonade has donated over $12 million to non-profit organizations via its Giveback program. As a rapidly growing tech company, Lemonade faced the challenge of managing security alerts efficiently without expanding its team or resources.

Challenges

Lemonade’s initial security setup involved manual alert management, which was both time-consuming and resource-intensive. They faced numerous challenges including

Problem Description
High Volume of Security Alerts With the increasing number of security alerts generated by Lemonade's systems, the security team found it burdensome to keep up. The volume of alerts required regular monitoring and manual investigation, which was not suitable for a company determined to automate everything.
Time-consuming Manual Processes Investigating each alert manually was a labor-intensive process that consumed time and effort from the security team that could be better used engineering proactive solutions to prevent issues from arising in the first place. Analysts had to sift through data to identify potential threats, leading to delays in response times and increased chances of missing critical alerts.
Need for Continuous 24/7 Monitoring Ensuring continuous monitoring was important for Lemonade due to the nature of its business and the data it handles. However, maintaining a 24/7 vigilance with a human-only team would be challenging and costly.
Resource Constraints Lemonade's security team was intentionally smaller than similarly situated peers, and expanding the team to handle the increasing workload is antithetical to Lemonade's strategy of automating everything. Lemonade wanted an efficient solution to multiply the team's capabilities without requiring additional headcount.
Limited Bandwidth The security team wasted time with redundant tasks that consumed bandwidth, leaving it with less time to focus on security engineering. The repetitive nature and low intellectual value of these tasks would potentially contribute to burnout and reduced efficiency.
Inconsistent Analysis and Decision-Making Without a standardized approach to investigating alerts, the quality and thoroughness of the analysis varied. This inconsistency impacted the overall security posture and led to potential vulnerabilities being overlooked.
Difficulty in Handling Complex Threats The increasing complexity of threats required a level of thoroughness and analysis that required increasing effort to achieve manually. The team found it distracting to manually keep up with evolving threats and ensure that all potential risks were mitigated effectively.
High Rate of False Positives Manual processes often resulted in false positives, further burdening the team. People spent time investigating alerts that turned out to be non-issues, reducing their ability to focus on genuine threats.

Selection & Implementation

The selection criteria included autonomous AI investigative capabilities, ease of integration, cost efficiency, and the ability to provide continuous monitoring while reducing the manual workload. The decision-making process was led by the CISO and involved the security team and other stakeholders.

The onboarding process was smooth and quick, with minimal configuration required. Dropzone AI seamlessly integrated with Lemonade’s existing systems, including AWS, Google Workspace, and Okta. The team began seeing benefits within weeks, thanks to Dropzone AI’s functionality.

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Benefits Realized with Dropzone AI

Efficiency and
Time Savings

Reduced manual workload, allowing SOC analysts to focus on higher-value tasks.

Continuous
Monitoring

24/7 vigilance ensured that no alerts were missed, providing a higher degree of vigilance compared to human-only teams

Improved
Confidence

Higher degree of confidence in alert investigations and decision-making.

Cost Savings

Reduced need for additional headcount and resources, leading to substantial cost savings.

Key Performance Indicators (KPIs) and Results:

Detailed Investigation Reports: The detailed report summaries provided by Dropzone AI enabled a granular level of analysis, reducing the time spent on routine investigations and improving accuracy.

Reduction in False Positives: The testimonials highlight a reduction in false positives, which allowed the team to focus on genuine threats, enhancing overall efficiency.

Increased Accuracy in Threat Detection: The AI SOC analyst's thoroughness and detailed reports contributed to more accurate threat detection and response.

Clear ROI Reporting

Provided clear ROI reports tailored to real business costs, demonstrating substantial savings and efficiency.

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