Chainlink lets institutions add bridge checks
After a $292 million Kelp bridge theft, Chainlink Labs will let custodians, exchanges and asset managers run custom bridge checks.
Chainlink Labs introduced a feature that lets institutional users add custom validation checks to its cross-chain message routing, months after a $292 million theft from the Kelp bridge raised questions about validation controls.
Custodians, exchanges and asset managers can attach user-defined checks to bridge messages to enforce policies such as sender or receiver limits, required attestations and behavioral thresholds. The checks run during message routing and can block, delay or surface alerts for transactions that do not meet an institution’s rules.
The capability is available through Chainlink’s cross-chain tooling and developer interfaces. Institutions can write checks in standard formats, test them in staging environments and deploy them to run alongside Chainlink’s oracle services. The design supports integration with internal compliance systems, custody wallets and monitoring dashboards so approvals or automated pauses can be enforced without changing the underlying bridge protocol.
Each organization can maintain checks independently from other bridge participants, allowing firms to apply stricter controls to the funds they manage without imposing those rules on unrelated counterparties. The system operates across networks supported by Chainlink’s cross-chain protocol, including Ethereum and layer-2 networks.
The Kelp incident involved attackers exploiting weaknesses in a bridge’s validation logic and led to roughly $292 million in losses. The incident prompted exchanges, custodians and protocol teams to review how messages are validated and which parties can authorize cross-chain actions. Operators and infrastructure providers have pursued enhanced monitoring, multi-party validation and improved attestation formats.
Chainlink provided simulation and logging tools so teams can see how checks would have affected past transfers. The company also released developer documentation and examples and recommended that institutions trial checks in non-production environments to calibrate thresholds and reduce disruptions.
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