Enforcement intensity scales with revenue — growth without reversal.
Regulations already in force and imminent deadlines.
| Date | Regulation | Region | Equinix Branch | Status |
|---|---|---|---|---|
| 2024-09-05 (signed) 2025-11-01 (in force) |
CoE AI Convention (CETS 225) World's first binding international AI treaty — in force since 2025-11-01 |
🌐 In force since 2025-11-01. Signed by EU, UK, US et al.; ratified by EU, UK, France, Norway and others. US: signed (not ratified). | All branches | In Force (since 2025-11-01) |
| 2026-01-22 | Korea AI Basic Act Audit obligations for high-impact AI systems |
🇰🇷 South Korea | SL1 / SL4 Seoul | In Force |
| 2026-03-01 | Law 134/2025 AI system data localization + audit |
🇻🇳 Vietnam | via SG1 | In Force |
| 2025-01-17 | DORA Art.17 Digital Operational Resilience Act — ICT threat intelligence sharing |
🇪🇺 EU Financial | FR5 / AM3 / DB3 | In Force |
| 2026-08-02 (current law) → deferred to 2027-12-02 under EU Digital Omnibus provisional agreement (pending formal adoption) |
EU AI Act — High-Risk Obligations Art.12 log retention · Art.15 accuracy documentation · Annex III high-risk operators |
🇪🇺 EU | FR5 / AM3 / DB3 / PA3 | 2027-12-02 (provisional deferral) |
| 2026-08-02 | GPAI / Art.53 Obligations EU AI Act Art.53 — General-Purpose AI provenance obligations (not deferred) |
🇪🇺 EU / Global GPAI providers | FR5 / AM3 / DB3 / PA3 | August 2026 |
DORA Enforcement — No Longer a Grace Period
Equinix designated DORA CTPP #18 by ESA (Nov 2025) — every Equinix tenant with ICT exposure is in scope. DORA enforcement active since 2025-01-17; supervisory reviews underway. HYDRA-AUDIT provides the real-time ICT audit evidence chain required for Art.17 compliance.
EU AI Act GPAI/Art.53 enforcement begins 2026-08-02 (not deferred). High-risk AI/Art.12 obligations: deferred to 2027-12-02 under EU Digital Omnibus provisional agreement (pending formal adoption). No fines have been issued as of Q1 2026 — compliance window is now.
In force since 2025-11-01. Signed by EU, UK, US et al.; ratified by EU, UK, France, Norway and others. US: signed (not ratified). Open for signature: 2024-09-05.
Designed to support evidence documentation requirements under EU AI Act and CoE AI Convention signatory frameworks.
No separate audit system per jurisdiction. One tamper-evident TTTPS chain — the cryptographic proof chain for compliance documentation across CoE signatory frameworks.
Legal sufficiency comparison with existing ML observability tools such as MLflow and W&B.
| Criterion | MLflow / W&B | TTTPS (Hydra-Audit) |
|---|---|---|
| Timestamp source | Single system clock | Roughtime k≥3 consensus (±ms) · Equinix PTP ±1µs (SVC target) · GEO/KTSat ±10ns (roadmap) |
| Mutability | Log files can be modified | Tamper-evident chain — tampering detected instantly |
| Court submission | Not admissible (plain logs) | Designed for court submission (cryptographic proof chain) |
| Regulatory compliance | Evidence may be rejected | EU AI Act Art.12/53 · SOC 2 Type II · DORA — designed to satisfy |
| During audit | Manual reconstruction required | JSON-LD auto-export, immediately submittable |
EU AI Act Art.12 (high-risk) violation = €15M or 3% of global annual turnover (applies from 2027-12-02 under Digital Omnibus provisional deferral, pending formal adoption). Art.53 GPAI: enforcement from August 2026.
Existing ML observability tools do not satisfy the requirements.
Priority deployment map by regulatory jurisdiction and target customer segment.
| Branch | Regulation | Priority Targets |
|---|---|---|
| SL1/SL4 Seoul | Korea AI Basic Act + PIPA | Kakao, NAVER, LG AI, Samsung SDS |
| FR5 Frankfurt + AM3 Amsterdam | EU AI Act Art.53/12 (GPAI core) | Aleph Alpha, Mistral EU, Google DeepMind EU |
| DB3 Dublin + PA3 Paris | EU AI Act + GDPR | European AI startups, cloud providers |
| SG1/SG2/SG5 Singapore | MAS TRM + AI Verify + Vietnam/China gateway | DBS, Grab, Sea Group, ByteDance overseas |
| HK1/HK4 Hong Kong | China CAC + PDPO | ByteDance, Baidu, Alibaba overseas entities |
| TY4/TY11 Tokyo | Japan AI Promotion Law | NTT, Fujitsu, Sony AI, SoftBank |
| SV1 Silicon Valley + NY9 New York | CA SB53 + TX TRAIGA + NY RAISE | Frontier AI labs, cloud GPU providers |
| DA1 Dallas | TX TRAIGA | Enterprise AI, state agency compliance |
| TR1/TR2 Toronto | Canada CPPA Bill C-27 (proposed) | Cohere Canada, Google Canada AI |
| Country/Region | Regulation | Core Requirements | Max Penalty | Equinix Branch | Target Customers |
|---|---|---|---|---|---|
| 🇪🇺 EU | EU AI Act 2024/1689 |
Art.53 GPAI training data documentation (enforcement 2026-08-02). Art.12 log retention for high-risk AI (deferred to 2027-12-02, Digital Omnibus provisional) | €15M or 3% of global annual turnover High-risk/Art.12 penalties from 2027-12-02 (provisional deferral) |
FR5, AM3, DB3, PA3 | GPAI model providers, high-risk AI operators |
| 🇰🇷 South Korea | AI Basic Act In force 2026-01-22 |
Mandatory audit records for high-impact AI systems | KRW 300M | SL1, SL4 Seoul | Domestic AI service operators, financial AI |
| 🇸🇬 Singapore | MAS TRM / PDPA | Financial AI audit trail, personal data processing logs | SGD 1M | SG1, SG3 | Fintech, banks, payment infrastructure |
| 🇻🇳 Vietnam | Law 134/2025 In force 2026-03-01 |
AI system data localization + audit | 5% of revenue | via SG1 | Local AI platforms, gaming (Garena/VNG) |
| 🇨🇳 China | CAC Generative AI Regulations Enforced |
Training data security documentation, personal data audit, CAC registration maintenance | Revenue-based | HK1/HK4 (Hong Kong), SG1/SG5 (Singapore) | ByteDance, Baidu, Alibaba Cloud, Tencent overseas entities |
| 🇯🇵 Japan | AI Promotion Law METI, May 2025 |
Transparency reporting, audit records | Name disclosure (public shaming — reputational in enterprise markets) | TY1-TY12 (Tokyo), OS1 (Osaka) | NTT, Fujitsu, Sony AI, SoftBank |
| 🇺🇸 United States | State-level patchwork CA SB 53 · TX TRAIGA · NY RAISE |
CA SB 53 (signed Sep 2025): Frontier model transparency · TX TRAIGA (Jan 2026): State agency AI governance · NY RAISE Act (2026): Transparency and reporting | $10M+ | SV1 (Silicon Valley), NY1/NY9 (New York), DA1 (Dallas) | Frontier AI labs, LLM API providers |
| 🇨🇦 Canada | AIDA (not enacted) Artificial Intelligence and Data Act — Bill C-27 lapsed at end of parliamentary session (2025). Successor legislation pending |
Risk mitigation, transparency, record-keeping, incident reporting for high-impact AI — applicable upon successor legislation | TBD (pending successor legislation) | TR1/TR2 (Toronto), VA1 (Vancouver) | Cohere Canada, Google Canada AI |
Maximum AI regulatory fines applicable from 2026 (EUR equivalent).
Hydra-Audit satisfies the following EU AI Act articles. Coverage levels vary: directly implemented, platform-layer enablement for AI company implementation, and roadmap items enabled by Equinix DPU deployment.
| Article | Requirement | Hydra-Audit Coverage |
|---|---|---|
| Art.9 Risk Management System |
Providers of high-risk AI must establish and maintain a risk management system throughout the AI system lifecycle | 🔜 Roadmap: Upon Equinix DPU deployment — hardware-level telemetry enables continuous risk measurement and automated anomaly flagging across the AI system lifecycle, providing the instrumentation layer for Art.9 risk management systems |
| Art.11 Technical Documentation |
Providers of high-risk AI must maintain technical documentation demonstrating system compliance throughout the lifecycle | Hydra-Audit generates tamper-evident, timestamped documentation of every AI system operation — directly satisfying Art.11 technical documentation requirements with cryptographic lifecycle records exportable for competent authority review |
| Art.12 Logging obligations |
High-risk AI systems must generate automatic logs retaining records for regulatory inspection | Every inference and transfer event sealed with TTTPS: model ID, token batch, timestamp, node — 90-day retention; JSON-LD export for competent authority submission |
| Art.13 Transparency & Information Obligations |
Deployers of high-risk AI must provide verifiable information about AI system operations to users and regulators | Hydra-Audit provides the platform layer enabling AI companies to satisfy Art.13 transparency obligations — every AI system event is cryptographically attributable and exportable, giving deployers verifiable evidence of system operation to present to users and regulators |
| Art.14 Human Oversight |
High-risk AI systems must enable human reviewers to inspect, understand, and override AI decisions | Hydra-Audit provides the forensic infrastructure enabling human oversight of AI decisions — tamper-evident logs allow reviewers to inspect, trace, and provide evidence for AI decision challenges at any point in the system lifecycle, supporting AI company Art.14 compliance implementation |
| Art.15 Accuracy, Robustness & Cybersecurity |
High-risk AI systems must achieve appropriate levels of accuracy, robustness, and cybersecurity throughout lifecycle | Hydra-Audit continuously monitors AI system operational integrity — 7 Byzantine attack vectors actively detected (6 on roadmap) and logged with cryptographic evidence, providing the audit backbone for ongoing robustness and cybersecurity compliance verification |
| Art.19 Automatically Generated Logs |
High-risk AI systems must automatically generate logs of AI system operations | Hydra-Audit automatically generates tamper-evident logs for every AI system event — directly satisfying Art.19 logging mandates without additional configuration |
| Art.53 GPAI — Transparency obligations |
General-purpose AI providers must document training data and inference pipeline | TTTPS-sealed ingestion and inference log per model operation — source, date, scope immutably recorded and submittable to EU AI Office |
| Art.72 Post-Market Monitoring |
Providers of high-risk AI must establish post-market monitoring systems tracking AI behavior after deployment | Hydra-Audit continuous Byzantine audit stream enables post-deployment monitoring of AI system behavior — anomaly detection and REPLAY/FORGE/ORDERING event logging included. 🔜 Roadmap: Upon Equinix DPU deployment, hardware-level telemetry integration provides full Art.72 post-market monitoring instrumentation at the infrastructure layer |
Current implementation: Roughtime 3-server consensus, ±few ms absolute per-event monotonic precision (high-resolution ordering and interval preservation between events) Regulatory requirement status: EU AI Act Art.12: "accurate" (no quantitative threshold) → ✅ satisfied EU AI Act Art.53: training batch date-level records → ✅ fully satisfied SOC 2 CC7.1: real-time event audit → ✅ satisfied MiFIR Art.22c RTS: ±1ms requirement → ✅ Equinix PTP ±1µs — meets ±1ms requirement once on SVC (target, not yet deployed) Roadmap — beyond Equinix PTP, with GEO/KTSat ±10ns: MiFIR Art.22c RTS: ±1µs via Equinix PTP (SVC target) — exceeds ±1ms by 1000×; ±10ns via GEO/KTSat — roadmap Financial transaction timestamp audit → ns-level absolute precision
| Item | Details |
|---|---|
| Campaign Timing | GPAI/Art.53 enforcement: August 2026 (not deferred) — immediate compliance demand. High-risk Annex III: deferred to December 2027 (Digital Omnibus provisional, pending formal adoption). |
| Equinix Direct Revenue | Virtual Connection = direct Equinix Fabric revenue per customer — customer expansion directly drives infrastructure demand |
| Referral Revenue Share | 10–15% (Virtual Connection separate) |
| ISV/ISP Onboarding | Equinix ISV program registration — co-sell free. Joint Equinix Marketplace listing. |
| Location Coverage | SL1/SL4 (Seoul), FR5 (Frankfurt), SG1/SG3 (Singapore), SV1 (Silicon Valley) — priority by regulatory deadline |
Equinix Fabric revenue structure: 1 customer = 1GbE EVPL Virtual Connection × 1 Port cost: ~$400/month fixed Network utilization at 1,000 events/sec: 0.11% (port cost does not scale)
EU AI Act GPAI enforcement: August 2, 2026. High-risk AI (Annex III): December 2, 2027 (Digital Omnibus provisional, pending formal adoption). Among the first purpose-built cryptographic audit solutions generating training-data provenance records designed to meet evidence documentation requirements under EU AI Act and CoE AI Convention — no reconstruction, no per-country audit systems. One Hydra-Audit deployment covers EU Art.12/53, the Korean AI Basic Act, Vietnamese Law 134, and CoE signatory jurisdictions.
info@kenosian.com
Subject: "Equinix × Kenosian AI Compliance Partnership"
EU AI Act GPAI obligations: August 2, 2026.
High-risk AI (Annex III): December 2, 2027 (Digital Omnibus provisional agreement, May 2026 — pending formal adoption).
Enforcement has already begun for GPAI provisions. We connect prepared customers to the pipeline.
Across the 2026 enforcement timeline, the common requirement is a log whose when and ordering can be trusted — timing-integrity evidence that a regulator in any jurisdiction can independently verify. If TTTPS is adopted as the standard, a compliant deployment could carry the “TTTPS-certified” mark, satisfying the timing axis once rather than re-proving it per regime.
Proposed mark for explanation only. Any “certified” status is conditional (“could / if adopted”) and would operate under the Kenosian root of trust — not a present-day certification program.