Aleo and Merkle Science are partnering to bring behavior-based blockchain risk monitoring and forensics to the Aleo ecosystem. As stablecoin payments and other privacy-preserving use cases move from pilots to production, teams need risk controls that keep pace without diluting user protections.
At Aleo, privacy and risk mitigation are viewed as complementary ideas rather than competing priorities. As the network grows and new use cases come online, the community needs reliable ways to monitor risk and perform forensics without compromising the promise of privacy. Merkle Science offers predictive, behavior based intelligence that helps developers protect users while giving institutions the confidence to operate on Aleo in line with evolving regulatory expectations. This partnership pairs a privacy-first architecture with behavior-based risk intelligence so builders do not have to choose between user protection and regulatory readiness. Developers keep privacy by default, with the ability to evidence compliance when it is required.
Merkle Science aligns with Aleo’s mission of privacy by design, audit ready when needed. Compass brings behavior based transaction monitoring that highlights anomalous or risky on chain activity without relying only on static blacklists. Tracker adds forensic tracing that strengthens investigations and counterparty due diligence. The integration gives enterprises and finance-grade users practical pathways to operate on Aleo with the monitoring and investigation tools they expect. Optional selective-disclosure and audit-view patterns are available for validators, enterprise adopters, and regulated participants when evidence is required. Together, these capabilities give developers practical guardrails, help institutions demonstrate good governance, and support constructive engagement with regulators across the ecosystem.
Aleo highlighted several differentiators. Merkle Science’s behavioral rules engine goes beyond traditional static AML checks and provides signals that are more relevant to how activity actually unfolds on-chain. Cros-chain forensics and tracing, along with broad asset coverage, reassured the team that complex flows can be understood and investigated. A commitment to innovation, including Merkle Science’s acquisition of Staging Labs to enhance real time mitigation on EVM chains, also mattered. Finally, reputation and track record as a trusted partner in risk and intelligence, including among regulators, helped cement the decision.
This collaboration preserves privacy while enabling robust monitoring and forensics that builders and institutions can rely on. It strengthens the overall risk posture of applications launched on Aleo and supports clearer pathways for counterparty due diligence and compliance conversations. Most importantly, it lays a practical foundation for real world adoption while maintaining Aleo’s zero knowledge ethos, so projects can scale with confidence and users can trust that safety and privacy move forward together. The result is a flexible stack that reduces integration complexity and shortens time to market for privacy-preserving applications. It also signals to supervisory stakeholders that privacy and accountable risk management can advance together on Aleo.
“This collaboration with Merkle Science marks a pivotal moment for Aleo – we’re building a future where privacy doesn’t come at the cost of accountability. By integrating Merkle’s advanced risk intelligence, we’re reinforcing our foundation with the security and risk-mitigation tools required for real-world adoption, while preserving our zero-knowledge ethos.” — Leena Im, COO at Aleo Network Foundation.
Aleo and Merkle Science share a commitment to making privacy-first Web3 applications safe, accountable, and ready for institutional use, without compromising on core principles. Together, we are turning privacy by design into a standard that institutions can adopt with confidence.
