Highlights
- FalkorDB reaches Cyber Startup Challenge 2025 finals
- Multi-tenant graph database delivers 10.5x faster median latency than Neo4j for cloud security workloads, mapping attack surfaces across CNAPP, CSPM, and CIEM deployments.
I’m happy to announce that FalkorDB has been selected as a finalist for the Cyber Startup Challenge 2025, organized by the Cyber-Defence Campus of armasuisse Science and Technology. The competition, focused on graph databases and graph analytics technologies, evaluates solutions that could strengthen Switzerland’s cyber defense capabilities.
Challenge Overview and Selection Criteria
The Cyber-Defence Campus launched the fifth annual Cyber Startup Challenge to scout innovative technologies from young companies worldwide. This year’s theme targeted graph analytics technologies, specifically seeking solutions that “enhance the value and utility of graph databases” to enable “more insightful analysis, faster data retrieval, and improved decision making”.
FalkorDB’s Approach to Cloud Security
FalkorDB operates as a multi-tenant graph database that maps attack surfaces and threat relationships across Cloud-Native Application Protection Platform (CNAPP), Cloud Security Posture Management (CSPM), and Cloud Infrastructure Entitlement Management (CIEM) deployments. The system organizes security data as connected nodes and edges, representing entities and relationships within cloud environments.
A typical attack path scenario involves “a vulnerable container that can be accessed via an over-permissioned IAM role and reaches sensitive data”. Graph databases enable identification of such paths by traversing relationships between entities in real-time. According to Wiz Academy, the most advanced CNAPPs “use a graph-based risk model to connect signals across identity, data, and infrastructure” to prioritize issues that actually matter.
Multi-Tenancy for Enterprise Scale
FalkorDB supports over 10,000 isolated tenant graphs within a single database instance, enabling management of vast, interconnected datasets without data mixing. Multi-tenancy allows separation of different data domains or client applications, which is particularly valuable for SaaS platforms or Retrieval-Augmented Generation (RAG) systems.
Next Steps
Developers interested in implementing graph-based security analytics can access FalkorDB’s open-source resources and documentation at https://docs.falkordb.com. The platform’s integration with frameworks including LangChain and GraphRAG Toolkit provides implementation paths for production deployments.
References and citations
Meet the Finalists of the Cyber Startup Challenge 2025 – Official armasuisse announcement
Cyber Startup Challenge 2025 – Competition details and prize structure
FalkorDB vs Neo4j: Graph Database Performance Benchmarks – Performance comparison data
