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DATA PROTECTION

Budgeting for Cyber Resilience: 7 CIO-Ready Priorities

December 18, 2025Robert Callaghan

How do we build technology budgets amidst an environment where volatility is the norm? Security and risk spending are climbing. AI and data programs are accelerating. Infrastructure, operations, and staffing are all being asked to stretch, often without a matching increase in total budget. At the same time, boards, regulators, and insurers expect proof that the business can keep operating when something goes wrong.

Cyber resilience is at the center of those pressures. It’s what decides whether you can absorb a serious incident, recover in a controlled way, prove what happened, and keep critical services running. It also shows up line-by-line in the budget, reflected in storage capacity costs, backup and DR software, professional services, external audits, and insurance renewals. That makes resilience as much a finance conversation as a data protection one.

When CIOs bring a budget to the board, they’re expected to do more than fund tools. They have to show that costs will behave as promised, that the organization can withstand and recover from disruption, and that data will stand up under questioning. If cyber resilience isn’t built in explicitly, it slips into the background as a nice-to-have instead of a baseline condition for doing business.

Let’s explore cyber resilience in that context, a requirement that can be built into operations in these seven CIO-ready budget themes. Each one ties a familiar area of spend to the resilience outcome it’s meant to support. Use them as anchors for your budget planning, whether you’re the CIO setting the agenda or the leader walking into the room with a plan that needs a confident “yes.”

1. Treat cyber resilience as a core operating requirement

With cyber events now an assumed and persistent risk for every organization, boards, regulators, and insurers expect proof the business can absorb disruption and recover in a controlled way. For the CIO, that means being able to point to concrete resilience controls (immutable copies, multi-user approvals, separation of duties, tested recovery) and demonstrate how they protect the systems the business runs on. When that case isn’t made, incidents hit harder than they should, insurance renewals become more difficult, and confidence in how technology risk is managed steadily erodes.

2. Stabilize storage costs and eliminate cloud consumption surprises

Cloud storage has shifted from a background expense to one of the most unstable lines in the IT budget. Industry benchmarking shows that a significant share of cloud storage spend now comes from variable egress, API, and retrieval fees rather than capacity alone. That variability undermines any cyber resilience plan because when storage costs spike unexpectedly, organizations often pull back on best practices to stay inside budget. With predictable storage fees, the finance team gets solid numbers, and the CIO gets room to fund cyber resilience as deliberate, governed work.

3. Plan storage for AI-driven data growth

AI and machine learning put continuous pressure on storage capacity. Training inputs, working datasets, archived models, logs, and inference outputs all stack up quickly, and most of them need to be kept for reuse, audit, or retraining. Capacity planning has to account for these pipelines directly: how much data is coming, how long it needs to live, and how it will be protected. When storage is planned with AI in mind, roadmaps can move at the pace the business expects. When it isn’t, projects stall and cyber resilience for AI data lags behind the speed at which models are changing.

4. Turn storage efficiency into funding for innovation and modernization

Most CIOs are expected to fund AI, analytics, modernization, and security without a matching increase in total budget, which only works if day-to-day spend makes room for it. When you simplify tiers, retire redundant systems, and strip out non-obvious charges, you’re not just cutting cost; you’re freeing up everyday budget and redirecting it into strategic work while keeping cyber resilience intact. Framed that way, storage efficiency is how you pay for stronger cyber resilience and the next wave of change. If that trade-off isn’t explicit in the budget, those gains disappear into general expense and new initiatives get crowded out.

5. Move from overbuying hardware to right-sized, on-demand capacity

Buying storage hardware years in advance no longer lines up with how the environment changes. Workloads move, new services spin up quickly, and data shifts between platforms, so capacity sits idle in some places while other areas hit limits. For the CIO, that shows up as wasted capital and delayed projects. When storage can scale in controlled increments, growth decisions can be made as part of normal governance, not emergency procurement. From a cyber resilience standpoint, that same flexibility keeps protection and recovery aligned with where critical workloads actually run, reducing the risk of over-protecting the wrong systems while the right ones stay exposed.

6. Deliver audit-ready data traceability and governance

Regulators, auditors, and customers now expect more than strong encryption; they want proof that data is handled correctly end-to-end. That means being able to show lineage, retention, access history, and where critical data lives. For the CIO, the focus shifts from proving that data is encrypted to demonstrating how it was collected, processed, stored, and disposed of in line with GDPR, HIPAA, and emerging AI disclosure requirements. When that level of traceability is missing, security and compliance drift apart, audits become slower and more expensive, and teams fall back on manual evidence gathering. The result is that confidence in the organization’s ability to prove data integrity begins to erode.

7. Hold critical data to the same standard as financials

Boards and audit committees increasingly talk about data as a core asset, which means they expect evidence that critical records, models, and logs cannot be altered or destroyed. For the CIO, that means designing controls that hold up during audits: logically air-gapped copies governed by separate administrative control, multi-user approvals for destructive actions, and clear separation of duties. When those controls and proofs are missing, audits and reviews surface the gaps and confidence in digital records starts to slip. Remediation work piles up, and processes like M&A or financing become slower and more complicated because the underlying data is in question.

What this means for budget conversations

These priorities only matter when they are built into the budget from the outset. That means shifting the conversation from tools and terabytes to a key set of business themes your executive team can recognize. Line items for storage, backup, and protection should roll up cleanly into one or more of those outcomes so the CIO can point to them as part of a coherent resilience story.

In practice, that looks less like arguing for individual SKUs and more like backing each theme with concrete proof points. The goal is a budget that can survive scrutiny from finance and the board without someone in the room to narrate every slide.

Evidence that points to the value of cyber resilience goes a long way in selling your budget:

  • Trend lines on cloud storage spend that separate capacity from egress/API/retrieval and show where volatility is really coming from.

  • Splits of past-year spend between day-to-day operations and new initiatives so savings in storage can be visibly tied to AI, data, and modernization work.

  • AI data growth assumptions that make clear how much new capacity will be driven by training data, models, and logs, and how long they need to be kept.

  • Recovery and resilience results from recent tests, including RTO/RPO and a short list of gaps that budgeted investments will close.

  • Audit, insurer, and regulatory signals that emphasize traceability, integrity, and control design, not just encryption at rest.

  • Capacity and utilization snapshots that surface obvious overbuying, stranded hardware, or pressure points that will constrain new projects.

Used this way, the budget becomes less about justifying storage capacity and more about showing how each dollar supports a cyber-resilient, governable, AI-ready environment.

The bottom line

Pick the top two or three themes from this list that match your biggest pressures and make them the spine of your next budget conversation. For each one, be explicit: the risk it addresses, the investment you’re asking for, and the evidence that it will improve resilience and support AI and data initiatives responsibly.

Do that consistently, and cyber resilience stops sitting in the background and becomes the throughline for how you explain recoverability and confidence in your data. It shows up in budgets as commitments you can defend, in boardrooms as risk the organization is prepared to carry, and in AI and data programs that move forward without outpacing control. That’s the outcome of a cyber-resilient budget, and it’s the kind of story a CIO can stand behind.

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