MGLA evaluates regulatory-technical gaps simultaneously across nine domains of operation — each with its own instruments, its own technical surface, and its own jurisdictional footprint. They are not handled as silos. They are handled in the same loop.
Foundation models, fine-tunes, agentic systems and high-risk use cases — bound to transparency, conformity and post-market obligations.
Lawfulness, purpose, retention, transfer and data-subject rights — evaluated against the actual systems that act on personal data.
Essential-entity obligations, incident reporting, supply-chain due diligence and product cybersecurity, all tied to the running stack.
Operational resilience, ICT third-party risk, crypto-asset issuance and payment-services obligations — modelled as live posture.
DPAs, SCC modules, sub-processor chains and side letters — parsed and bound to the obligations they actually cover.
Migration posture across handshakes, signatures and stored ciphertexts — tracked against published cryptographic timelines.
Token classification, issuer obligations, custody arrangements and travel-rule data flows across distributed ledgers.
Gatekeeper obligations, marketplace duties, illegal-content procedures and dark-pattern prohibitions across consumer interfaces.
Frequency coordination, debris mitigation, payload sovereignty and dual-use export controls for orbital operations.
A foundation model trained in the United States, fine-tuned in Ireland, and served to consumers in Brazil carries simultaneous obligations under the EU AI Act, GDPR, and Brazilian LGPD — bound to the same DPA, the same telemetry, the same loop.
MGLA does not split this into three tickets in three workstreams. It is one finding, evaluated across four layers, on a single timestamp.
We onboard the framework against your specific normative footprint — the regimes, contracts and systems that govern your operation today.
A live regulatory analysis framework, developed and maintained by IT Law 2035.