AI Is Blurring The Cybersecurity Budget

Where does the AI budget end and the cybersecurity budget begin?

As AI moves deeper into security products and operations, CISOs may face yet another new challenge: knowing whether AI dollars are strengthening cyber defenses or competing with existing security priorities.

AI is dominating tech headspace. Companies are pouring money into copilots, agents and myriad AI tools, while security vendors race to incorporate artificial intelligence into their own offerings.

But the deeper AI becomes embedded in cybersecurity, the harder a seemingly straightforward budgeting question becomes: What counts as AI spending and what counts as cybersecurity spending?

For IT leaders, especially those with tight budgets and small teams, knowing the difference matters. Money spent on an AI-powered security platform could reasonably be categorized as both. So could investments in securing agents, monitoring AI usage or preventing sensitive data leaks.

Drawing A Line Between AI And Security Spending

The overlap between AI and security spending complicates the idea that organizations are just choosing between the two.

MES Computing's own spending research asks midmarket IT leaders separately about AI and cybersecurity investment. Cybersecurity and cyber resilience were selected by 72 percent of respondents as an area for new investment in 2027, while 50 percent selected AI governance and security, and 49 percent selected AI and machine learning.

Those categories aren't necessarily mutually exclusive. Spending to secure an AI deployment could reasonably fall under cybersecurity, AI governance or a broader AI budget category.

If a company buys an AI-powered threat-detection platform, for example, is that cybersecurity spending or AI spending? If it deploys identity controls to govern AI agents, is that IAM, cybersecurity or AI governance?

Increasingly, the answer may be all three.

And that makes comparisons between AI and cybersecurity spending tricky. The more deeply AI becomes embedded in security products and security itself becomes necessary to deploy AI safely, the harder it becomes to determine where one budget ends, and the other begins.

That's not just an accounting issue, either. For CISOs, the more pertinent issue may be whether AI spending is adding security capability or displacing investments in other technologies the organization needs.

Industry Experts: AI Is Reshaping IT Budgets

AI's impact on IT budgets is an emerging conversation. Nick Kakolowski, senior director for CISO research at IANS, recently discussed how AI is reshaping security budgets in an interview with Dark Reading. His research suggests CISOs are mostly looking to AI to help existing security teams get more done without cutting staff.

But AI is also changing spending priorities, Kakolowski said, while vendors add AI features to security products, placing additional pressure on already constrained security budgets.

CISOs may start to contemplate whether AI should be its own line item in the security budget. IANS and Artico Search specifically identify that as one of the emerging questions security leaders are facing as they plan for 2027.

When AI Spending Displaces Security Spending

Whether AI gets its own line item may ultimately be up to the CFO, but IT executives still have to reckon with what happens to the rest of the security budget when AI spending increases.

Certainly, AI tools can add new and powerful capabilities to a security platform. But if the budget to pay for those tools comes at the expense of existing controls, staffing or other security resources, CISOs may solve one emerging problem while creating gaps elsewhere.

That risk has already drawn warnings from security experts. IT leaders should be prepared to demonstrate that AI investments are actually improving security before shifting resources away from technologies and practices they already rely on.

Midmarket organizations should especially take heed. Large enterprises may have room to create new AI budgets or absorb higher security-tool costs. Smaller organizations often have less flexibility. An investment in one priority could mean delaying another.

As AI becomes harder to separate from cybersecurity itself, there may be a more useful way to think about IT budgets: Does each new investment strengthen the organization's overall security posture, and what might the organization be giving up to pay for it?