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For decades, databases have been the beating heart of enterprise IT. From financial transactions to healthcare records, they contain the mission-critical data that organizations rely on every second of every day. As cyberthreats grow more advanced, databases are increasingly targeted, but often overlooked, in resiliency strategies. Many leaders assume their databases are fully protected because backups exist or because surface level scans show no anomalies. Yet this confidence is misplaced. Modern AI-driven attacks can silently corrupt individual database pages, indexes, or transaction logs, leaving organizations exposed while giving the illusion of security.
Recent Enterprise Strategy Group research highlighted the challenge, showing that 49% of organizations cited data security as one of their most significant database management-related concerns,1 yet organizations often rely on surface-level protection that misses subtle, slow moving threats. The result is a dangerous myth of database safety. Index Engines’ CyberSense platform applies AI-driven full-content indexing to detect database integrity challenges that others miss.
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