TL;DR

A digital insurance company was growing, increasing its need for efficient security operations. The company deployed Dropzone AI, an agentic AI security solution, to automate Tier 1 alert triage and investigation. This speed up MTTR and also freed up SOC analysts to focus on other tasks that require human intelligence.

Digital insurance is a complicated business with challenges in managing security, risk, and compliance. Dropzone AI’s customer was already innovating in artificial intelligence to drive its insurance operations, but struggled to manage security as the company expanded. The insurance provider’s growth led to increasing security alerts to the point that they were overwhelming, leaving the company at risk due to unaddressed alerts. Read the full case study, click here.

Challenges Encountered

The company’s initial security setup involved manual alert management, which was time-consuming and resource-intensive. Initially, the security operations center (SOC) team manually managed alerts, which became unsustainable as the volume of alerts grew, requiring constant monitoring and manual investigation. This increased response times and risked missing critical alerts due to the sheer volume and complexity.

Operational Efficiency and Resource Allocation

As the digital insurance company expanded, its SOC team grappled with an increasing volume of security alerts. Each alert required constant monitoring and meticulous manual investigation, tasks that became increasingly challenging to manage effectively as the company grew. The high volume of these alerts strained the team’s ability to keep up and exposed them to the risk of missing critical alerts, which could potentially lead to significant security breaches.

Compounding the challenge, the SOC team found itself bogged down by the time-consuming nature of these manual processes, which involved sifting through vast amounts of data to pinpoint potential threats. This labor-intensive approach was inefficient and led to significant delays in response times.

The analysts were also overwhelmed with repetitive tasks that reduced efficiency and diverted their attention from more pressing security threats. With a fixed budget, the possibility of expanding the team to address these issues was not viable. The company was compelled to seek a scalable solution to boost the existing team’s effectiveness and ensure robust security management without additional personnel.

Consistency and Accuracy in Threat Management

Staff overload was only part of the problem. The company’s security operations faced significant hurdles due to inconsistent analysis and decision-making processes. The absence of a standardized method for investigating alerts led to variable quality in analysis, which, in turn, increased the likelihood of overlooking critical vulnerabilities. This issue was exacerbated by a high rate of false positives, a common outcome of the manual processes that dominated their security protocol. Such false alarms drained resources and diverted attention away from genuine threats, compromising the effectiveness of their security measures. Furthermore, the evolving complexity of threats posed an additional challenge, as it required a level of detailed analysis that the current team struggled to maintain consistently.

Continuous Monitoring and Response Capabilities

The nature of the digital insurance business, coupled with the sensitivity of the data handled, necessitated the implementation of continuous 24/7 monitoring to ensure uninterrupted vigilance. Given the high stakes involved, any lapse in monitoring could lead to severe data breaches and significant reputational damage. However, maintaining this constant oversight proved challenging and costly when relying solely on human personnel. The demands of round-the-clock monitoring placed a considerable strain on resources, driving the need for a more sustainable and cost-effective solution to continuously secure the company’s critical data assets.

The Shift to Agentic AI Security with Dropzone AI

To address these challenges, the company turned to Dropzone AI, an agentic AI security solution known for its autonomous investigative capabilities. The selection process, led by their Chief Information Security Officer (CISO) and involved various stakeholders, focused on key criteria like ease of integration, cost efficiency, and the ability to provide continuous monitoring.

Implementation and Immediate Benefits

Implementing Dropzone AI within the company’s security infrastructure marked a significant milestone in enhancing its security operations. The integration process was notably smooth and rapid, requiring minimal configuration and seamlessly interfacing with existing systems such as AWS, Google Workspace, and Okta. This ease of integration allowed the company to quickly transition to a more automated environment, minimizing disruption to their operations. The immediate benefits of deploying Dropzone AI were evident, as it significantly reduced the manual workload that had previously burdened the SOC team, freeing them up to concentrate on tasks of higher strategic value.

Additionally, the consistency and detail of the AI’s investigations improved decision-making processes within the SOC team. With more reliable and thorough analysis, analysts could approach security threats with greater confidence and precision, effectively boosting the efficiency and accuracy of their response to potential security incidents. The agentic AI solution provided continuous, around-the-clock monitoring, a capability far surpassing what could be achieved with a human-only team. Continuous investigations ensured no alerts were missed, enhancing the company’s overall security posture.

Significant Outcomes

Dropzone AI significantly transformed the company’s security operations, streamlining processes and reinforcing the overall security framework. One of the most notable outcomes was the reduction in time spent investigating false positives, allowing analysts to focus more intently on genuine threats. This shift enhanced the overall security efficiency and improved MTTR. The AI SOC analyst provided detailed and thorough reports, which enabled quicker and more precise responses to security incidents. Additionally, the implementation of Dropzone AI reduced the dependency on human monitoring and analysis, which significantly cut down the need for additional staffing and thus resulted in considerable cost savings for the company.

Dropzone AI Drives Value

With the integration of Dropzone AI, the digital insurance company has effectively addressed its initial challenges and established a new benchmark for its security operations. Agentic AI technology allowed the company to achieve substantial savings and efficiency gains, delivering a clear ROI. Read the in depth case study here.

Discover how Dropzone AI can augment your SOC team with autonomous AI SOC Analysts. Visit our website to test drive Dropzone AI or get a demo and learn how it can elevate your security management to the next level.