Pronect at the forefront of physical security management, combining AI and modern technology to offer comprehensive security solutions. They have partnered with Faktion, an AI product studio, to integrate advanced GenAI applications into their platform, aiming to enhance security measures, streamline operations, and foster data innovation.
Challenge: Enhancing AI-Driven Security at Scale
Pronect is a European technology company that helps large organisations take control of their physical security operations. Its AI-powered platform functions as a 360° cockpit, integrating data across risk, performance, and cost to support better decision-making. Pronect aims to address the challenges their client face in physical security operations:
- Manual Insight Retrieval: Clients needed to manually interpret reports and documents to understand risk and performance.
- Limited Automation: Tasks such as compliance reviews, reporting, and KPI tracking still required significant human effort.
- Accessibility of Expertise: Security knowledge and documentation were not always readily accessible to all platform users, especially non-specialists.
With a clear vision for innovation, Pronect set out to make security management more intelligent, automated, and accessible. One of the key objectives on Pronect’s product roadmap was the creation of an AI-enabled adviser module—capable of delivering contextual insights, guiding users in risk and compliance, and automating routine security tasks. This required a highly specialised application of generative AI within a critical, regulated domain.
To achieve this, Pronect partnered with Faktion to co-create SAM (Security Adviser Module). The goal was not to improve an existing tool, but to jointly develop a new capability that could elevate the entire platform—from structured and robust, to intelligent and adaptive.
Solution: Security Advisor Module Powered by Generative AI
Faktion developed a Generative AI Security Adviser Module (SAM), seamlessly integrated into Pronect’s platform. The solution delivered superior capabilities in data consolidation, real-time analytics, and client interaction by:
- Implementing a robust Retrieval-Augmented Generation (RAG)-based copilot, providing precise, contextualised answers by drawing on available source data, addressing Pronect’s challenge of fragmented data insights.
- Utilising a domain-specific semantic layer designed around real-world security expertise, enabling relevant recommendations and scalability without compromising analytical depth.
- Enhancing the user experience with an intuitive, conversational interface, allowing clients to go beyond mere data consumption, interact directly with their complex security data, and receive clear, actionable insights.
- Incorporating advanced data ingestion and pre-processing techniques to streamline the consolidation of internal documentation, external standards, and dynamic control data, enhancing both the breadth and precision of the analysis.
Approach: Structured AI Integration
Faktion adopted a structured, phased integration methodology, grounded in best practices for LLMOps, Azure-based deployment, and advanced data governance. The structured approach included:
- Data Preparation and Ingestion: Static PDF/text datasets provided by Pronect were systematically ingested and enriched using metadata schemas, facilitating optimised RAG functionalities and precision in output.
- Specialised Generative AI: A foundational model (Mistral/GPT-4 class) was selected and fine-tuned specifically for security management, ensuring that every generated recommendation aligns with proven security practices, regulatory requirements, and domain relevance.
- Deployment Support and Training: Hands-on deployment assistance was provided to Pronect’s Azure team, including reusable deployment scripts (Bicep) and knowledge transfer to ensure independent scalability post-project.
- Continuous Validation and Iteration: An evaluation notebook for model assessment was implemented, measuring metrics such as answer correctness, context relevance, and recall. Iterative improvements were driven by continuous client feedback loops and performance assessments.
Outcome: Intelligent Platform, Scalable Value
The successful implementation of SAM represented a major milestone in Pronect’s product evolution, shifting from a structured, process-led platform to a truly AI-embedded solution. The benefits of this transformation are being experienced directly by Pronect’s clients.
Key value delivered to end users:
- Tasks that previously required navigating multiple documents, such as compliance verification, KPI reviews, or risk summaries, can now be completed through simple, natural language queries saving hours for end users.
- Clients receive contextualised recommendations supported by traceable sources, enabling confident, defensible decisions across security operations.
- SAM makes complex security data understandable and usable by both specialists and non-specialists, increasing platform adoption and stakeholder engagement.
- SAM helps security teams standardise and automate best practices across sites, business units, and geographies, without increasing manual workload.
- Automated, real-time summaries and insights reduce the burden of manual reporting and support better alignment with business leadership.
The SAM project illustrates what’s possible when domain expertise and AI engineering come together. Pronect brought a clear vision, strong methodology, and a scalable platform. Faktion delivered the technical innovation and AI craftsmanship to bring that vision to life. Together, they co-created a pioneering capability that redefines how physical security can be managed in a digital world.
