MAR500 · Meridian Autonomy Rating

The AI governance rating for regulated financial institutions. Issuer does not pay.

MAR500 measures how 543 regulated financial institutions in 66 countries govern their AI agents. Letter bands A through F. Reproducible to the byte.

543
Regulated institutions in the sealed substrate
66
Countries covered across eight financial sectors
95,876
AI agents identified at the agent level

The Meridian Autonomy Rating (MAR) measures AI risk exposure in regulated financial institutions. Governance is the means; exposure is the end. MAR constructs governance topologies from public evidence using a predeclared scanning pipeline, and rates the exposure they produce. Credit ratings rate institutional default risk. MAR rates AI risk exposure at five levels: institutional, sectoral, geographic, vendor (cross-industry), and systemic. Credit ratings reach one of those levels. MAR reaches all five.

MAR500 applies the rating across 543 institutions in 66 countries on a sealed monthly substrate, scored along five components, reproducible to the byte, and presented in letter bands from A through F.

The 2026 MAR distribution · the divergence story

No institution reaches the A-band. Credit ratings put 49 there.

Reading MAR · colour varies by band Credit · blended S&P / Moody’s / Fitch
0
MAR A-band
of 321 paired
institutions

Credit ratings put
49 here.
0 50 100 150 200 institutions → A MAR 0 Credit 49 B MAR 74 Credit 195 C MAR 184 Credit 56 D MAR 52 Credit 17 E MAR 10 Credit 3 F MAR 1 Credit 1

Across the 321 institutions in the substrate that hold at least one major credit rating, the two instruments measure different things. Credit ratings cluster at A and B (244 institutions, 76 percent). MAR clusters at C (184, 57 percent). The instruments tell different stories about the same institutions because they answer different questions, and the shape of the divergence is what governance risk looks like when measured directly.

Notch spread among S&P, Moody's, Fitch

Only 1 in 3 triple-rated institutions get the same notch from all three agencies.

0 · unanimous 1 · close 2 · meaningful split 3 · large gap
0 · 67 1 · 89 2 · 46

Across the 206 institutions in the substrate rated by all three of the major credit agencies, only 67 receive identical notches from each. The remaining 139 carry disagreement: 89 within one notch, 46 spread two notches apart, four sitting across three notches. The mean spread is 0.94 with a standard deviation of 0.79. The instrument the market treats as the standard for credit risk reaches internal consensus on roughly one institution in three. MAR is deterministic by construction. There is one Meridian rating per institution because there is one Meridian.

What the substrate shows by sector

Banks strongest. Pension funds weakest.

Bank 57 125 30 217 Insurer 14 43 19 79 Investment Manager 10 28 18 5 61 Fintech 7 30 9 4 50 Pension Fund 21 16 7 46 Exchange 6 22 6 2 36 Sovereign Wealth Fund 2 11 10 4 2 29 Reinsurer 1 10 4 4 19

Eight sectors. Each row normalised to that sector's rated institutions. Hover or tap any segment for the exact count. Banks lead with 26 percent in B-band and only 2 percent in E-band. Pension funds are the inverse: 2 percent in B-band, 17 percent in E or F.

What the substrate shows by region

Europe leads. Measurably.

Europe 34 99 21 155 North America 32 85 30 11 159 Asia Pacific 18 66 34 10 128 Latin America 11 19 14 6 50 Middle East & Africa 4 26 13 6 51

Europe shows the cleanest distribution: 22 percent in B-band, 1 institution in E-band, none in F. The EU regulatory regime, with DORA in force and the EU AI Act phasing in, correlates with measurably better governance than any other region. Middle East and Africa shows the weakest distribution, with 2 institutions in F-band deep failure.

543 institutions · 95,876 agents · 626,390 edges · 8 sectors · 152 sub-sectors · 66 countries · sealed substrate v13.1.0
Six supporting findings
Intended audience
Institutions

See where you score, who scores like you, and where the gap is. The diagnostic engagement converts the score into a remediation programme. Continuous Intelligence keeps the picture current as the substrate refreshes.

Supervisors

Independent cross-jurisdiction benchmark on AI governance, scored monthly, sealed for reproducibility, evidence base traceable to source. Supervisor toolkits arriving 2026.

Investors

Governance risk that credit ratings cannot see. AI agent concentration, halt-mechanism gaps, vendor-mesh contagion. Material to enterprise valuation, and currently unpriced.

Vendors

Independent view of how regulated counterparties depend on your products, the governance contribution those products carry, and where you sit relative to your peer set. Anonymised in public surfaces.

Section 6 · Computational Simulation

Hash-anchored hermetic simulation against the sealed substrate. Cascade analysis, algebraic connectivity, vendor cross-substrate persistence, and the Schrems II outlier model. Available to qualified institutional counterparties under non-disclosure agreement. Inquiries to [email protected].

MAR® Rating Methodology

The rating methodology that operates on this substrate will be documented in The Stationary Sea (Part 3: Rating Methodology), forthcoming. Specific calibrations are sealed via cryptographic manifest commitments. Manifest fingerprint · c545569ef34f35ba2b22821a99dcc0fd6c73a077863dbf6e0cde5946a18a85cf