JitoBAM Now Controls 27% of Solana Stake Using TEEs—Is This MEV Protection or a Dangerous Centralization Vector?

Jito’s Block Assembly Marketplace (BAM) has grown to control 27.4% of Solana’s validator stake weight as of February 2026, up from just 12% when it launched six months ago. With over 330 validators now running BAM infrastructure, this represents one of the fastest adoption rates I’ve tracked in blockchain infrastructure. But here’s the critical question: are we solving MEV exploitation or creating a new centralization risk?

How BAM Works: The TEE Architecture

BAM operates using Trusted Execution Environments (TEEs), specifically AMD processors with SEV-SNP (Secure Encrypted Virtualization with Secure Nested Paging). These create encrypted mempools where transactions remain private until execution—theoretically reducing exploitative MEV like sandwich attacks.

The technical implementation is actually quite elegant:

  • Hardware-accelerated encryption with only 2-5% overhead
  • Application-Controlled Execution (ACE) lets developers define custom transaction ordering
  • Validators running BAM receive blocks from TEE nodes instead of processing raw transactions

From a pure computer science perspective, the cryptography is sound. SEV-SNP provides strong isolation guarantees, and the overhead is minimal enough for production use.

The Case FOR BAM: Real MEV Protection

Let me be clear: BAM does provide measurable MEV protection. Our research shows:

  1. Reduced sandwich attacks: Users routing through Jito bundles experience significantly fewer exploitative MEV attacks
  2. Developer control: Protocols like CLOBs and perps DEXs finally have the sequencing control they need
  3. Privacy preservation: Dark pools and institutional flows can operate without frontrunning risk

By early 2026, over 95% of Solana’s active stake was delegated to validators running the Jito-Solana client. This didn’t happen by accident—it happened because the technology works.

The Case AGAINST: Centralization Through Infrastructure

But here’s where my security researcher alarm bells start ringing.

27.4% stake weight in a single infrastructure provider is a massive concentration risk.

Consider the historical precedent: DeezNode’s private mempool was responsible for approximately 50% of all sandwich attacks on Solana. When validators engage in harmful MEV extraction, their stake grows disproportionately fast. DeezNode’s validator stake jumped from 307,900 SOL in November to 802,500 SOL by December—a 160% increase in one month.

This creates a dangerous positive feedback loop:

  • MEV profits → stake more SOL → control more blocks → extract more MEV → stake more SOL

Now we’re replacing the “public MEV free-for-all” with “private MEV infrastructure oligopolies.” BAM + Harmonic (the competing builder at 16.8% stake) collectively control ~44% of Solana’s stake weight. That’s not decentralization—that’s duopoly.

The Governance Concern

Jito introduced JIP-28 and JIP-31 to incentivize BAM adoption, redirecting 100% of protocol revenue to validators running BAM in Q1-Q2 2026. The distributions are capped at 3M SOL to “mitigate centralization concerns.”

But is a 3M SOL cap sufficient when we’re already seeing 27.4% concentration?

The governance assumption seems to be: “We’ll cap incentives, so centralization won’t happen.” But we’re not accounting for:

  1. Network effects: More validators → more MEV extraction → more attractive to join
  2. Infrastructure dependencies: Once protocols integrate BAM, switching costs are high
  3. Trust assumptions: We’re trusting TEE hardware vendors (AMD) and BAM operators

Trust but Verify—Except We Can’t Verify TEEs

This brings me to the fundamental philosophical problem: TEEs require trust in hardware.

In traditional blockchain systems, we can verify execution. With encrypted TEE mempools, we’re trusting:

  • AMD’s SEV-SNP implementation has no backdoors
  • BAM operators don’t collude
  • No side-channel attacks compromise the TEE

“Don’t trust, verify” was supposed to be our mantra. TEE-based systems ask us to trust instead.

What We Need: Research and Governance Safeguards

I’m not arguing we should abandon BAM—the MEV protection is real and valuable. But we need:

  1. Formal research on long-term centralization dynamics in incentivized block builder networks
  2. Stronger decentralization mechanisms beyond simple stake caps
  3. Fallback strategies if BAM infrastructure fails or gets compromised
  4. Transparent monitoring of stake concentration and MEV flows

Some researchers have even suggested re-enabling a public mempool alongside private options, arguing that competition between validators for MEV might distribute stake more evenly than private infrastructure monopolies.

The Question for This Community

If one entity controls transaction sequencing for 27% of network stake, do we have MEV protection or just privatized MEV extraction?

I want to hear from:

  • Protocol developers integrating BAM
  • Validators running (or choosing not to run) BAM
  • Researchers studying MEV and centralization dynamics
  • Users who’ve experienced both public mempool and BAM-protected transactions

This isn’t a theoretical debate—this affects Solana’s security model right now.

What governance mechanisms should we implement before stake concentration becomes irreversible?

Sophia raises exactly the right concerns here. From a protocol architecture perspective, the TEE implementation is technically sound—AMD’s SEV-SNP overhead is genuinely minimal (2-5%) and the cryptographic isolation is strong. But the governance and centralization dynamics are where this gets complicated.

I’ve been watching this space closely because Ethereum faced similar builder centralization issues with MEV-Boost. At one point, a handful of builders controlled >80% of blocks. The difference is Ethereum has SUAVE and other decentralized sequencer proposals in development. Solana’s going all-in on TEE-based private infrastructure instead.

The Protocol-Level Problem

Here’s what concerns me: 27.4% stake concentration in BAM isn’t the ceiling—it’s accelerating.

When you combine:

  • JIP-28/31 revenue redirects (100% protocol revenue to BAM validators in Q1-Q2)
  • Network effects (protocols integrate once, switching is costly)
  • MEV profit feedback loops (successful validators stake more, control more blocks)

You get a system that naturally tends toward oligopoly, not decentralization.

The 3M SOL cap was supposed to prevent runaway centralization, but it’s clearly insufficient. We’re already at 27.4% with BAM + Harmonic at 44% combined. What happens when we hit 51%? Do we trust that governance will act quickly enough to prevent validator collusion?

Comparison to Ethereum’s Builder Market

Ethereum’s response to builder centralization has been:

  1. SUAVE: Decentralized block building network (still in development)
  2. MEV-Burn proposals: Redirect MEV value to ETH stakers, not builders
  3. Inclusion lists: Let proposers force transaction inclusion even if builders exclude them

Solana doesn’t have equivalent fallback mechanisms yet. If BAM decides to censor transactions (or is compelled to by regulators), what’s our Plan B?

Decentralized Sequencer Alternatives

I’d love to see Solana explore:

  • Multi-party TEE committees instead of single-entity TEE operators
  • Threshold cryptography for distributed block assembly
  • Validator rotation schemes that prevent persistent power concentration

The tech exists—Chainlink’s DECO, Flashbots’ MEVM research, various threshold signature schemes. We’re choosing infrastructure convenience over protocol resilience.

The Governance Question

Sophia asked what governance mechanisms we need. Here’s my proposal:

  1. Progressive stake caps: Not just 3M SOL flat cap, but percentage-based (e.g., no single builder >15% stake weight)
  2. Forced rotation periods: Validators must switch builders every N epochs to prevent lock-in
  3. Emergency fallback to public mempool: If builder concentration exceeds threshold, auto-revert
  4. Transparent MEV dashboards: Real-time monitoring of who’s extracting MEV and how much

The problem is governance moves slowly, and market dynamics move fast. By the time we vote on corrective measures, we might already be locked into oligopoly.

My Take: Use BAM, But Don’t Depend On It

For projects I’m building, I integrate BAM because the MEV protection is real and users benefit. But I’m also maintaining fallback code paths that work with public mempools, just in case.

We should treat BAM as a pragmatic MEV mitigation tool, not as the permanent transaction sequencing solution for Solana.

Long-term, we need protocol-level decentralized sequencing. TEE-based private infrastructure is a band-aid, not a cure.

Does anyone know if there’s active research on decentralized block builders for Solana? I’d love to collaborate on alternatives.

This debate hits close to home because we’re living this tension every day at YieldMax.

Brian’s right that the tech works—our users have seen dramatically fewer sandwich attacks since we started routing through Jito bundles. But Sophia’s centralization concerns are also 100% valid. Let me share what we’re seeing from the DeFi protocol side.

Real-World Impact: The MEV Protection Is Legit

Our yield optimization bots execute thousands of transactions daily across Solana DeFi protocols. Before Jito bundles:

  • ~8-12% of our rebalancing transactions got sandwiched
  • Users lost 0.3-0.8% of value on average per swap
  • During high volatility, sandwich losses could hit 2-3%

After integrating BAM:

  • Sandwich rate dropped to <1%
  • Slippage protection actually works as designed
  • User confidence in DeFi strategies increased significantly

This is not theoretical—real users kept real money that would’ve been extracted by MEV bots.

By Q1 2026, about 80% of YieldMax transaction flow routes through Jito infrastructure. Why? Because our users demanded it after seeing the protection in action.

But Here’s the Scary Part: Infrastructure Dependency

The problem Sophia identified—what happens if BAM goes down or gets compromised?—keeps me up at night.

Right now:

  • 80% of our bot traffic depends on Jito infrastructure
  • Fallback to public mempool means users get sandwiched again
  • We have maybe 15 minutes of runway before our strategies fail if Jito has an outage

We built this dependency not because we wanted to, but because the MEV protection is so much better that users won’t tolerate the public mempool alternative.

That’s a classic “too big to fail” dynamic. When a single provider becomes essential infrastructure for DeFi to function properly, we’ve created systemic risk.

The Data: It’s Not Just YieldMax

I’ve been comparing notes with other protocol developers, and we’re all seeing similar patterns:

  • Raydium, Orca, Meteora: All have Jito integrations now
  • Perps DEXs (Drift, Mango): Depend on ACE for fair sequencing
  • Dark pools for institutions: Won’t operate without TEE privacy guarantees

When protocols integrate BAM, switching costs are non-trivial:

  1. Rewrite transaction submission logic
  2. Re-audit new code paths
  3. Test under production load
  4. Retrain ops teams on new infrastructure

So even if governance implements Brian’s proposed rotation schemes, DeFi protocols have already locked in.

The Yield Implications

Here’s something I haven’t seen mentioned yet: MEV protection affects DeFi yields.

When LPs provide liquidity on AMMs, they traditionally earned:

  • Trading fees
  • Liquidity mining rewards
  • Some MEV value (arbitrage correcting prices actually benefits LPs)

With BAM, a larger share of MEV value gets captured by validators running Jito infrastructure instead of going to LPs or arbitrageurs.

I’m not saying this is bad—sandwich attacks definitely hurt LPs. But we’re redistributing MEV from:

  • Public extractors (anyone running a bot) → Private infrastructure (Jito validators)

That’s less democratization of MEV and more privatization of MEV.

My Proposal: Redundancy Before It’s Too Late

I agree with Brian that we need fallback mechanisms, but I want to get more specific about what that means for DeFi protocols:

  1. Multi-builder support: Protocols should integrate with BAM and Harmonic and maintain public mempool paths
  2. Automatic failover: If primary builder has >200ms latency or misses a block, auto-switch
  3. MEV redistribution mechanisms: Part of captured MEV should flow back to users/LPs, not just validators
  4. Circuit breakers: If any single builder exceeds 30% stake weight, protocols auto-diversify

The challenge is nobody wants to build this redundancy when BAM works perfectly 99.9% of the time. We need protocol-level incentives to maintain diverse infrastructure.

The Uncomfortable Truth

Sophia asked: “Do we have MEV protection or just privatized MEV extraction?”

From where I sit, we have both.

BAM genuinely protects users from sandwich attacks, and that value is real. But we’re also concentrating MEV extraction in a smaller set of validators who stake their profits back into more infrastructure, creating exactly the positive feedback loop Sophia described.

The question isn’t whether BAM is good or bad—it’s whether we can maintain decentralization while keeping the MEV protection benefits.

I don’t have the answer, but I know the status quo (BAM keeps growing, protocols keep integrating, no fallbacks get built) leads to a future where Solana DeFi is dependent on 2-3 block builders. That’s not what I signed up for when I left TradFi for crypto.

What are other DeFi protocols doing about infrastructure redundancy? Is anyone building against multiple builders, or are we all locked into Jito?

This conversation needed to happen, and I’m glad we’re having it. Let me add some on-chain data perspective to ground this debate.

I’ve been tracking Solana validator stake distribution and MEV flows as part of my day job at the analytics company. The numbers tell a story that’s both encouraging and alarming.

The Stake Concentration Data

Here’s what I’m seeing when I pull the latest validator stake weights (as of early March 2026):

Block Builder Stake Distribution:

  • BAM validators: 27.4% stake weight (330+ validators)
  • Harmonic validators: 16.8% stake weight
  • Traditional validators (no builder): 55.8% remaining
  • Combined builder concentration: 44.2%

For context, this is the progression over the last 6 months:

  • September 2025: BAM launches at ~5% stake
  • November 2025: BAM reaches 12% stake
  • January 2026: BAM at 21% stake
  • March 2026: BAM at 27.4% stake

That’s nearly linear growth of ~4% stake per month. If this trend continues (big IF), we’re looking at 40%+ by summer 2026.

The MEV Profit Feedback Loop (Visualized)

Diana mentioned the “too big to fail” dynamic, and the data backs this up. I tracked validator stake changes correlated with MEV extraction:

Validators extracting high MEV (top quartile):

  • Average stake growth: +18.2% over 3 months
  • Revenue reinvestment rate: 73% (they stake most of what they earn)

Validators extracting low MEV (bottom quartile):

  • Average stake growth: +2.1% over 3 months
  • Revenue reinvestment rate: 31%

The validators making money from MEV grow 8.7x faster than those who don’t. That’s the positive feedback loop Sophia warned about, measured in real stake changes.

DeezNode Case Study: The Cautionary Tale

Remember DeezNode that Sophia mentioned? Let me show the actual numbers:

DeezNode validator stake progression:

  • October 2025: 307,900 SOL
  • November 2025: 521,300 SOL (+69%)
  • December 2025: 802,500 SOL (+54%)
  • Total 3-month growth: +161%

During the same period:

  • DeezNode’s mempool responsible for ~50% of identified sandwich attacks
  • Estimated sandwich MEV extraction: .2M - .8M (based on on-chain transaction analysis)

This validator was staking MEV profits and compounding their control. When the community finally identified and delegators started leaving, stake dropped to 340,000 SOL by February 2026.

But here’s the question: What if DeezNode had been running “legitimate” MEV protection through a TEE instead of exploitative sandwich attacks? Would the community have caught it? Would they have cared?

BAM vs Harmonic: Duopoly Dynamics

Brian mentioned the 44% combined concentration. Here’s what’s interesting when you break down the validator overlap:

  • Zero validators run both BAM and Harmonic simultaneously
  • Very little stake movement between the two (only 3.2% of validators switched)
  • They’re serving different protocol niches (BAM for most DeFi, Harmonic for aggregation)

This looks less like healthy competition and more like market segmentation. Instead of validators choosing “the best builder,” we’re seeing protocols lock into one or the other based on technical integration patterns.

Are We Creating MEV Oligopolies?

Here’s my most concerning finding: Geographic and entity concentration within BAM validators.

When I trace validator infrastructure (data center IPs, ASNs, common wallet patterns for stake accounts):

  • ~40% of BAM validator stake traces to 3 major hosting providers
  • ~25% shows common wallet transaction patterns suggesting shared operators

This means the “330+ validators” number overstates decentralization. A significant portion appears to be the same entities running multiple validator nodes.

Effective Nakamoto coefficient for BAM validators is probably around 8-12, not 330.

If those 8-12 entities colluded (or got hacked, or got subpoenaed), they could potentially manipulate transaction ordering for 27.4% of Solana blocks.

The Missing Data: MEV Distribution Transparency

Diana asked about MEV redistribution. Here’s the problem: We don’t have good visibility into where extracted MEV actually goes.

What I can see on-chain:

  • Validator commission fees (transparent)
  • Jito protocol revenue (partially transparent)
  • Tip payments to validators (visible)

What I cannot see:

  • How much value is captured vs. how much flows to LPs
  • Whether “MEV protection” just means “MEV captured by different actors”
  • What portion of Jito revenue ultimately flows to which stakeholders

We’re debating MEV democratization vs. privatization, but we lack the data transparency to even measure the difference.

My Proposal: Open MEV Analytics

If we’re going to trust TEE-based infrastructure, we need radical transparency on outcomes:

  1. Public MEV dashboards: Real-time tracking of:

    • Which validators extract what MEV (by category: arb, liquidations, sandwich, etc.)
    • Stake concentration by builder
    • Geographic and entity clustering of validators
  2. Standardized reporting: Builders should publish:

    • MEV captured vs. MEV prevented
    • Distribution of value (validators vs. LPs vs. protocols vs. users)
    • Transparency into governance incentive effects (JIP-28/31 impact)
  3. Circuit breaker alerts: Auto-trigger governance discussions when:

    • Any builder exceeds 25% stake weight
    • Nakamoto coefficient drops below 20 for any builder set
    • MEV extraction concentration (Gini coefficient) crosses thresholds

The Pattern Recognition

I’ve been tracking blockchain data long enough to see a pattern:

  1. Problem emerges: Public mempools enable sandwich attacks
  2. Solution launches: Private infrastructure (BAM) with TEEs
  3. Solution works: MEV protection is real, adoption accelerates
  4. New problem emerges: Infrastructure concentration creates systemic risk
  5. Community debates: (← we are here)
  6. ???: Either we build decentralized alternatives, or we accept oligopoly

Ethereum went through this with MEV-Boost builders. They’re attempting SUAVE as a solution, but it’s years away from production.

Solana’s moving faster (which is good), but we might be moving too fast to course-correct before lock-in happens.

Bottom Line: The Data Supports Both Sides

Sophia’s security concerns? Validated by stake concentration data.

Brian’s protocol worries? Confirmed by entity clustering analysis.

Diana’s user benefits? Supported by MEV reduction metrics.

The question isn’t “who’s right”—everyone’s right. The question is: what do we do about it?

I’m going to keep publishing weekly validator stake and MEV analytics. If you want access, I can share the dashboard. Transparency is the first step toward informed governance.

Who else is tracking this data? Let’s collaborate and make sure the community sees what’s actually happening on-chain, not just what we hope is happening.

This discussion has been incredibly valuable, and as someone who advises crypto companies on regulatory compliance, I need to add a perspective that hasn’t been raised yet: the regulatory implications of infrastructure centralization.

What you’re describing—27.4% stake concentration in a single transaction sequencing provider—is exactly the kind of market structure that attracts regulatory scrutiny.

The Legal Lens: When Does Infrastructure Become a “Gatekeeper”?

Here’s what keeps me up at night from a compliance perspective:

If BAM controls transaction ordering for a significant portion of Solana’s network, regulators may argue it functions as a gatekeeper or intermediary.

This matters because:

  1. Securities law implications: If BAM validators can preferentially sequence transactions, they might be deemed to have “control” over trading outcomes, potentially triggering broker-dealer or exchange registration requirements

  2. AML/KYC obligations: Gatekeepers in financial infrastructure typically have Know Your Customer requirements. If regulators classify BAM as a payment intermediary, Jito might face compliance obligations

  3. Sanctions compliance: The Treasury Department’s OFAC could require BAM to screen transactions and block sanctioned addresses—which defeats the entire purpose of decentralized infrastructure

The “Too Big to Ignore” Problem

Mike’s data showing 44.2% combined concentration (BAM + Harmonic) is precisely the threshold where regulators start paying attention.

In traditional finance, we’ve seen:

  • Payment for Order Flow: SEC scrutiny when a few market makers control too much retail order flow
  • Clearinghouse concentration: Increased regulation when critical infrastructure becomes concentrated
  • Cloud provider scrutiny: Recent focus on AWS/Azure/Google concentration in financial services

The pattern is clear: When infrastructure concentration creates systemic risk, regulators impose compliance obligations to “protect” the system—even if those obligations undermine the original value proposition.

The Centralization Paradox for Regulators

Here’s the uncomfortable truth: Regulators actually prefer centralized infrastructure because it’s easier to regulate.

A distributed network of validators running public mempools is hard to regulate—who do you serve with a subpoena? Who enforces sanctions compliance?

But a world where Jito BAM controls 27.4% of transaction sequencing? Now there’s a clear entity to regulate.

We might be building the very centralization that invites the regulatory intervention we’re trying to avoid.

Recent Precedent: What Happened to Tornado Cash

I know this is controversial, but it’s relevant: When OFAC sanctioned Tornado Cash in August 2022, they targeted infrastructure that facilitated private transactions.

The argument was: “Privacy tools can be used for money laundering, therefore the infrastructure provider has AML obligations.”

Now imagine this applied to BAM:

  • BAM provides private mempools (transaction privacy until execution)
  • Regulators could argue this enables front-running evasion or other illicit activity
  • If deemed a “money transmitter” or “financial intermediary,” Jito faces compliance requirements

The moment regulators decide BAM is “too important to fail” or “too concentrated to ignore,” they’ll impose obligations that fundamentally change how it operates.

Geographic Risk: Where Is BAM Actually Operating?

Mike mentioned geographic concentration (40% of validators trace to 3 hosting providers). This raises jurisdiction questions:

  • Where are those data centers located?
  • What laws govern validators in those jurisdictions?
  • If a foreign government subpoenas transaction data, can BAM resist?

The beauty of truly distributed systems is jurisdictional ambiguity. The risk of concentrated infrastructure is jurisdictional exposure.

If most BAM validators run in the EU, they’re subject to MiCA (Markets in Crypto-Assets regulation). If they’re in the US, they face SEC/CFTC scrutiny. Concentration creates regulatory attack surface.

The Compliance Cost Spiral

Here’s how this plays out if regulators decide to act:

  1. Regulators impose requirements: “BAM must screen transactions against OFAC sanctions list”
  2. Jito faces choice: Comply (and lose value proposition) or exit certain markets
  3. Protocols face compliance costs: DeFi protocols integrating BAM must now consider regulatory risk
  4. Users face KYC requirements: To use BAM-protected transactions, you might need identity verification

We’ve seen this exact pattern with:

  • Centralized exchanges (now heavily regulated)
  • Custodial wallets (KYC requirements)
  • Stablecoin issuers (reserve requirements, audits)

Centralized infrastructure invites centralized regulation.

My Prediction: The Regulatory Timeline

Based on my experience advising crypto companies and watching regulatory trends:

Q2-Q3 2026: Regulators start asking questions about Solana MEV infrastructure (we’re probably already on their radar)

Q4 2026 - Q1 2027: Informal inquiries turn into formal requests for information from Jito/major validators

2027: First regulatory guidance or enforcement action targeting concentrated block builder infrastructure

2028: Compliance requirements imposed on builders with >15% stake weight

This is speculative, but it’s based on how quickly regulators moved on DeFi, stablecoins, and NFT platforms once they reached “significant” market share.

What Governance Should Do NOW

Brian’s proposal for governance mechanisms is good, but I’d add regulatory considerations:

  1. Proactive decentralization roadmap: Don’t wait for regulators to force it. Show you’re addressing concentration before they demand it

  2. Geographic distribution requirements: Ensure no jurisdiction contains >20% of validator stake to minimize regulatory capture risk

  3. Transparency reporting: Publish the data Mike mentioned—show regulators you’re monitoring and addressing risks

  4. Legal structure clarity: Make it clear that BAM is protocol infrastructure, not a financial intermediary (even if that’s a tough legal argument)

  5. Regulatory engagement: Work with policymakers before they regulate you. The crypto industry learned this lesson the hard way with DeFi.

The Uncomfortable Question

Diana asked: “What are other DeFi protocols doing about infrastructure redundancy?”

From a legal perspective, I’d ask: What is your protocol’s liability exposure if BAM gets hit with regulatory action?

If your protocol depends on BAM and BAM is forced to implement transaction screening, what happens to your users? Your token? Your DAO governance?

Protocols need regulatory contingency planning, not just technical failover.

The Path Forward: Compliance-Enabling Decentralization

I’m not saying “don’t use BAM” or “centralization is illegal.” I’m saying:

Build decentralization mechanisms now, before regulators force worse solutions on you.

Options to consider:

  • Multi-builder diversity (Diana’s proposal) reduces regulatory attack surface
  • Protocol-level decentralization (Brian’s suggestions) makes it harder to classify as a regulated intermediary
  • Transparency and self-governance (Mike’s dashboards) show regulators you’re responsibly managing risks

The best regulation is the regulation you don’t need because you’re already addressing the risks proactively.

Final Thought: Learn from TradFi Mistakes

Traditional finance went through this exact evolution:

  • Innovation creates efficiency (HFT, dark pools, payment for order flow)
  • Efficiency concentrates in a few providers (“too big to fail”)
  • Concentration attracts regulatory intervention
  • Regulation imposes costs that reduce the original efficiency gains

We have a chance to avoid this cycle in crypto, but only if we prioritize decentralization alongside efficiency.

Otherwise, we’ll build Web3 infrastructure that looks suspiciously like Web2 financial gatekeepers—just with different names.

What are projects doing to prepare for regulatory scrutiny of MEV infrastructure? Has anyone worked with legal counsel on liability exposure from builder dependencies?