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AI-Driven Attacks on Banking Databases: Governance at Scale

ID: 2be09479-9f69-583f-b2a4-c9f76274c7fe

STIX ID: report--2be09479-9f69-583f-b2a4-c9f76274c7fe

Feed Name: Security Boulevard

Date Published: 2026-04-24

Date Updated: 2026-04-24

Author: Liquibase: Database DevOps

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This Liquibase blog warns that advanced autonomous AI agents can shift the primary attack surface to databases—enabling silent state corruption (schema changes, data mutations) and undermining auditability and compliance for banks—and argues that governance must move to pre-execution, policy-enforced, cryptographically traceable database change controls, positioning Liquibase Secure as the mitigation.

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