Max Security provides proactive risk management and real-time intelligence to help organizations safeguard their people and assets. Their clients include corporate security teams and decision-makers worldwide who rely on trusted, pre-vetted security reports and geopolitical analysis.

Max Security possessed a massive archive of high-quality, proprietary data. However, 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 operational bottlenecks and made it difficult for smaller teams with fewer resources to leverage the full value of Max's intelligence. They needed a way to provide fast, self-service access to trusted information without compromising on accuracy.

Max Security partnered with BigData Boutique to build a Retrieval-Augmented Generation (RAG) chatbot trained exclusively on Max's vetted intelligence.

Architecture Overview: The system is a closed loop, ensuring no external hallucinations. It combines cloud-native infrastructure with advanced AI models to retrieve accurate answers and generate visual aids.

Hybrid Search: OpenSearch was implemented to handle both vector and keyword search, ensuring relevant retrieval across the intelligence corpus.

AI Models: AWS Bedrock provides the foundation, using Cohere for semantic embeddings and Anthropic Claude (Sonnet) for generating natural language responses.

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

Cost & Scale: AWS Lambda handles efficient ETL processes, while Amazon ECS ensures the application scales reliably under load. The team optimized costs by selecting specific models for specific tasks.

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

Faster Access: Analysts can now retrieve vetted, actionable information in seconds, removing manual search bottlenecks.

Visual Insights: Users receive clear maps and charts alongside text, improving the clarity of the intelligence provided.

Broader Market: The tool makes high-level intelligence accessible to smaller teams with limited budgets, expanding Max Security's potential client base.

"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.