CyComply
DORA + securities-regulator RegTech for small investment firms and crypto-asset providers
Built by Rogue AI · DORA Register of Information + regulator obligation tracking, self-hosted · Self-hosted · Early-stage
Built solo as a scaffold-stage RegTech project in a self-hosted lab; the DORA Register of Information XBRL-CSV export is the first piece that validates clean, with the incident workflow still in progress.
The problem
Small investment firms and crypto-asset service providers fall under DORA but rarely have a compliance engineering team. They still owe a DORA Register of Information on their ICT third parties, ICT-incident reporting against fixed regulatory clocks, and a way to keep track of what their securities regulator publishes and what currently applies to them. The Register has to be filed as an EBA-format XBRL-CSV package — easy to get subtly wrong by hand, and a heavyweight enterprise GRC suite is overkill for a firm of this size.
What I built
A self-hosted compliance cockpit covering the parts of DORA and securities-regulator oversight a small firm actually touches: a Register of Information that exports to an EBA-validated XBRL-CSV package, an ICT-incident view with the DORA reporting clock, a regulator circular/obligation tracker, and an AI copilot that answers 'what applies to me' questions grounded in the indexed circulars rather than from the model's own memory.
Architecture
Tech stack
What broke first
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The DORA Register of Information XBRL-CSV export follows the EBA reporting taxonomy, which is EU-wide and identical across every national competent authority. There is no jurisdiction-specific file format to own, so the file format is never the moat — the workflow that produces a clean package is.
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Validating against a published taxonomy is unforgiving in a useful way: the export either passes the official validator or it does not. Building the generator data-driven from verified code maps and validated column templates made it deterministic to test, rather than a pile of hand-tuned strings.
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Grounding an AI copilot in the actual regulator circulars via retrieval beats letting a general model answer obligation questions from memory. Retrieval keeps answers anchored to the source text a small firm can be held to, and makes a wrong answer traceable to a real document.
Outcome
A working scaffold that proves the hard part end to end: a DORA Register of Information that exports to an EBA-valid XBRL-CSV package, plus a retrieval-grounded copilot over the regulator's own circulars. It is honest about its stage — no users, incident automation still to come, and the deliberate position that the value is the workflow and local distribution, not a proprietary file format.
Honest limits
Early-stage and candid about it. This is a scaffold-stage RegTech project built solo and run self-hosted in a local lab (the old VPS has been retired). The DORA Register of Information XBRL-CSV export is built and validates clean against the EBA taxonomy; the read views, dashboard counts, copilot and obligation tracker work; the ICT incident-clock automation and full submission workflow are still v1 work. The XBRL-CSV format follows the EBA standard — it is shared EU-wide, not a unique advantage. No paying users, no production-since claims, no invented metrics.
