Industry executives and experts share their predictions for 2026. Read them in this 18th annual VMblog.com series exclusive.
By Todd Moore, Global Vice President, Encryption; Haider Iqbal, IAM Director, Cybersecurity & Digital Identity; Nadav Avital, Senior Director, Threat Research, Thales
This year, we’ve seen companies across nearly every industry put AI into practice, with Gartner projecting up to $1.5 trillion in worldwide IT spending by year’s end to meet rising demand. With great innovation comes great responsibility, as our research shows 69% of organizations now cite rapid AI adoption as their top security concern. This moment presents a powerful opportunity for enterprises to strengthen the core controls that support AI, turning bold innovation into lasting advantage. As AI accelerates both progress and pressure, 2026 is shaping up to be the year security leaders learn whether their defenses can withstand real-world demands. Here are three predictions for the AI ground rules that will define the year ahead.
The New Reality: AI Gold Rush Will Expose Old Security Cracks
The race to deploy generative and agentic AI is fueled by massive potential gains and a growing fear of being left behind. One of the biggest pressure points is that threat actors are running the race too, without having to operate within regulations, compliance controls, or legacy architectures. While organizations scramble to automate and innovate, many security and risk teams are struggling to keep pace with adoption, regulation, and governance. By 2026, security leaders will launch a new wave of initiatives to secure the AI ecosystem, but many will lose focus on the fundamentals.
In their fixation on AI-driven threats, organizations will overlook the basic cybersecurity hygiene that still underpins every defense strategy. Adversaries will seize the moment, exploiting forgotten vulnerabilities and misconfigurations that never needed AI to begin with. Companies that maintain disciplined governance and strong hygiene across data, application, and identity security will be far better positioned to withstand the coming AI storm. The foundation for a secure AI future isn’t just smarter tools, it’s getting the basics right, consistently.
The New Battleground: The Zero-Day Arms Race Goes AI
As AI-driven tools transform vulnerability research on both sides of the fight, enterprises will face a widening security gap if their environments aren’t prepared. The next phase of the AI age won’t be defined by tools, but by how visible and controlled your environment is.
Attackers now use LLM-based agents to reverse-engineer patches, chain exploits, and find logic flaws in record time. Imperva’s Threat Research team uncovered multiple high-severity zero-days in 2025, proving that even mature systems remain exposed to AI-accelerated discovery and exploitation. By 2026, the gap between disclosure and weaponization will shrink to minutes, unleashing a surge in zero-day attacks targeting application frameworks, open-source components, and APIs.
In response, defenders will deploy AI-powered countermeasures that detect exploit patterns in real time, auto-patch misconfigurations, and contain compromised systems before they spread. The result: an escalating arms race between offensive and defensive AI, where resilience depends on continuous discovery, real-time telemetry, and adaptive protection, not periodic scans or patch cycles.
The New Mandate: CISOs Need a Vacuum for the AI Age
AI is transforming how data is created, used, and shared, and in the process, much of this data gets lost in the shuffle. Every digital interaction now drops crumbs of sensitive information that aren’t being properly tracked or cleaned up. By 2026, organizations will realize they’ve built enormous data “dust piles” of unclassified, unprotected, and invisible to most security tools. AI will step in where humans can’t keep up.
The next generation of systems will not only identify sensitive data across structured and unstructured sources including video, audio, and model training data, but also interpret its context, value, and risk. This shift will usher in autonomous data understanding, where AI doesn’t just find information but makes sense of it, automatically labeling, classifying, and flagging it for protection before it becomes a liability. AI will finally make sense of the data chaos that humans created.
2026: Data Security Will Determine the AI-Ready Enterprise
With nearly a quarter of enterprises lacking clear visibility into their sensitive data, 2026 is gearing up to be the year that pressure-tests every blind spot. Setting a strong data security foundation now helps ensure that classification, risk management and governance remain consistent across all environments. With some common ground rules, organizations can be prepared for the AI-paced innovation coming at an unprecedented speed.
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