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Developers Build AI Cyber-Attack Detective Tool at Hackathon After All-Night Coding Sprint

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A three-member team — Mehraan, Aqib, and Ubaid — built KoshurLock Holmes, an AI-powered cybersecurity investigation tool, during a WeMakeDevs hackathon. The tool addresses a core problem in post-breach forensics: evidence from VPN logs, badge readers, email gateways, and other sources is scattered across systems, forcing analysts to manually connect the dots over days or weeks. KoshurLock Holmes parses uploaded evidence files, extracts entities and relationships using Cognee, and constructs a unified knowledge graph so that the same individual appearing across multiple logs resolves to a single node. Users can query the system in plain English, receive cited multi-hop reasoning, and even instruct it to discard false planted clues, causing flawed conclusions to collapse. The project nearly stalled at 4 AM on the final day when the team hit Groq's free-tier token limit with the submission deadline hours away, but they pushed through to complete it by morning.

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