BigData Boutique Helps Max Security Transform Intelligence Access with SCOUT AI

Max Security provides proactive risk management and real-time intelligence to help organizations safeguard their people and assets. As a global intelligence provider, Max Security collects, analyzes, and disseminates critical information on international events, threats, and trends to help businesses make informed decisions and manage risk. Their clients include corporate security teams and decision-makers worldwide who rely on trusted, pre-vetted security reports and geopolitical analysis.

Manually generating reports for a specific research question could take an analyst up to 6 hours for simple cases and up to 12 hours for more complex cases, making each report a high-investment, high-value item. Max Security possessed a massive archive of high-quality, proprietary data, but their clients' analysts struggled to use it effectively. Traditional keyword search was inefficient, forcing analysts to spend significant time sifting through lengthy reports to find specific answers.

This created two significant challenges: operational inefficiency as analysts spent considerable time combing through information, and limited scalability since analyst teams had finite resources dedicated to research. They needed a way to provide fast, self-service access to trusted information without compromising on accuracy.

Having already worked together on a successful database modernization project, Max Security was confident in BigData Boutique's capacity to construct and implement an improved search function for their archival database. In roughly 14 months, BigData Boutique and Max Security developed SCOUT AI, an agent that accelerates decision-making, reduces research overhead, boosts overall productivity, and frees the security team to focus on higher-value priorities.

SCOUT AI enables users to query pre-vetted security intelligence using natural language, retrieve specific answers based solely on Max's proprietary database, and generate real-time summaries, maps, and visualizations to support threat analysis. The system is a closed loop trained exclusively on Max's vetted intelligence, ensuring no external hallucinations.

Hybrid Search: Amazon OpenSearch Service handles both vector and keyword search, ensuring relevant retrieval across the intelligence corpus. The platform processes multiple document types through AI-driven custom chunking and Cohere embeddings to ensure nuanced semantic understanding across diverse data sources.

AI Models: Amazon Bedrock provides the foundation with native LLM integrations, using Cohere embeddings for semantic search and Anthropic Claude for dynamic content generation. A sophisticated GenAI router and planner, aware of chat history, dynamically orchestrates multiple analytical tools — combining document retrieval, geographic intelligence, and route analysis as needed.

Beyond Text: The system doesn't just return text; it uses deep analytics to generate complementary visualizations, such as safe-route maps and charts, to aid decision-making.

"One of the key technical achievements in this project is our application of deep analytics to improve the quality of the tool's responses. Text alone is not always the best way to present insights, so we enabled the agent to also provide users with complementary visualizations. For example, if a user wants to know the safest route between point A and point B, the tool will present a clear map with precise, explanatory information." — BigData Boutique team

Cost & Scale: AWS Lambda streamlines ETL procedures — efficiently processing and embedding reports for indexing in OpenSearch — while Amazon ECS hosts the scalable and fault-tolerant agent application. Amazon CloudWatch enables real-time monitoring of service health, usage patterns, and AI model consumption. Throughout the project, careful attention was given to cost optimization, with strategies like selecting cost-effective AI models for each task and minimizing token usage.

The collaboration delivered a tool that transformed how clients interact with Max Security's data:

• 79% faster briefings: SCOUT AI reduced the average time to produce a decision-ready briefing from 2 hours to 25 minutes.
• 7 hours saved per week: Analysts reported saving 7 hours of research workload per week, freeing time for higher-priority analysis.
• 42% highly relevant: Over 42% of SCOUT AI outputs were rated as "highly relevant" by analysts, consistently providing trusted regional and situational context.
• Search democratization: SCOUT AI makes Max Security's intelligence accessible to an expanding pool of data consumers, including companies with tighter budgets and smaller teams.

"The early feedback has been great... Our clients have told us the chatbot is a practical, high-impact tool that's already becoming a key part of how their analysts operate day to day." — Dror Becker, CEO, Max Security

Max Security chose BigData Boutique for their ability to handle technical complexity and their "extension of the team" approach. The focus was not just on the AI, but on cost optimization and building a production-grade solution that solved a real user problem.

Following this successful launch, Max Security aims to use this innovation to open new pathways for growth in the competitive security market, continuously refining the tool to support their clients' evolving needs.