A new ARK Invest and Glassnode report finds Solana needs 19 validators to reach a critical control threshold, compared to just three for Bitcoin and Ethereum, but shared software and infrastructure risks still threaten network resilience
Solana may appear more resilient to coordinated takeover than Bitcoin or Ethereum, but a single software flaw could still bring its network to a halt. According to a joint report from ARK Invest and Glassnode, Solana requires the cooperation of 19 of its largest validators to cross a critical control threshold-far more than the three entities needed for Bitcoin or Ethereum. Yet this apparent strength masks deeper vulnerabilities that could undermine the network's stability.
Validator Concentration
The ARK Invest and Glassnode analysis introduces a metric called the critical resilience threshold, which measures how many of the largest block producers or validators must coordinate to control block production or voting power. For Bitcoin, three mining pools account for 59.04% of observed block production. Ethereum's top three staking entities-Lido, SSV, and Binance-hold a combined 45.5% of stake, though each label may represent hundreds of underlying operators. Solana's threshold stands at 19, based on its Nakamoto coefficient, meaning it would take a much larger coalition to disrupt consensus or censor transactions.
Shared Infrastructure Risks
Despite this higher threshold, Solana's network is not immune to correlated risks. Many Solana validators operate in commercial data centers, with significant stake concentrated among a handful of hosting providers. The network's reliance on a small set of client software is even more pronounced: the Agave/Jito client is used by about 92% of staked validators. This creates a scenario where a single software bug or infrastructure outage could impact a majority of the network, regardless of how many independent validators exist on paper.
Exit Speed and Network Pressure
Network resilience also depends on how quickly participants can exit or reconfigure in response to threats. Bitcoin miners can redirect hash power almost instantly, while Ethereum validators face a rate-limited exit process. Solana's validator exit dynamics are shaped by its protocol rules and the concentration of stake among top operators. Institutions evaluating blockchains for settlement infrastructure must weigh not just validator counts, but also the risks of transaction censorship, legal pressure, software faults, and the ability to independently verify network state.
Composite Decentralization and Market Impact
The ARK Invest and Glassnode report ranks Bitcoin highest in overall decentralization, citing its auditability, ownership dispersion, geographic resilience, and exit fluidity. Solana's 19-entity threshold signals a lower risk of immediate capture, but does not eliminate the dangers posed by shared software, hosting, or jurisdictional dependencies. For context, Solana is currently the seventh-largest cryptocurrency by market capitalization, with a reported $60.9 billion and a 24-hour price change of -1.95% as of the latest data.
Infrastructure dependencies are not unique to Solana. Bitcoin's heavy use of Tor and Ethereum's reliance on AWS hosting have also raised concerns about correlated failure modes. In a related case, Firo's network was forced into an emergency hard fork after a critical flaw was discovered, as reported earlier. These incidents highlight that decentralization on paper does not always translate to operational resilience in practice.
Solana's validator structure may look robust compared to Bitcoin and Ethereum, but the network's real-world resilience depends on more than just the number of entities required for control. Shared software, concentrated hosting, and overlapping jurisdictions can all create single points of failure. For U.S. institutions and users, the lesson is clear: evaluating blockchain security requires a holistic view of technical, operational, and governance risks-not just headline decentralization metrics.
Critical resilience thresholds are only one dimension of blockchain security. Even with a high Nakamoto coefficient, a network can be exposed if most validators run the same software or depend on the same infrastructure provider. This creates a risk that a single bug, exploit, or outage could disrupt consensus or halt block production. For users and institutions, understanding these dependencies is essential for assessing the true robustness of any blockchain network.
