Enterprises continue relying heavily on legacy systems despite the digital transformation push, creating complex cybersecurity risks. These outdated technologies, often decades old, remain integral to business operations across sectors including banking, healthcare, and manufacturing, making simple replacement unfeasible.
The persistence of legacy systems stems from prohibitive replacement costs and potential downtime. Organizations spend an average of $2.7 million to overhaul legacy technology, while downtime can cost millions per hour. However, maintaining these systems poses significant risks, with data breaches averaging $4.88 million annually.
“Everybody wishes that they had all of their processes and all of their systems integrations documented, but they don’t.”
— Jen Curry Hendrickson, Senior VP of Managed Services at DataBank
Security leaders can implement compensating controls including zero-trust access, system isolation, and operating system hardening to mitigate risks. Successful legacy system transitions require comprehensive planning, change advisory boards, and end-user inclusion.
Ultimately, balancing technical and organizational transformation demands multi-year commitment and board-level strategic alignment to successfully modernize enterprise infrastructure.
Discover how DataBank’s expertise in cloud repatriation and managed services can help you navigate the complexities of legacy system modernization.
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While some companies report moving select workloads back on-premises, the data shows that large-scale, strategic repatriation is rare. Most organizations remain committed to public cloud, leveraging its scale and flexibility while addressing use-case specific challenges.
New DataBank research reveals 60% of enterprises expect AI ROI within 12 months as organizations shift to hybrid infrastructure and expand geographically.
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