Industry executives and experts share their predictions for 2026. Read them in this 18th annual VMblog.com series exclusive.
By Omer Tal, Director of Innovation, CTO Office, Seemplicity
As AI continues to become deeply embedded in modern business operations, the cybersecurity landscape is undergoing a shift. What once unfolded over months now happens in minutes, and defenders face a rapidly expanding attack surface shaped by AI-generated code, autonomous adversaries, and increasingly complex software supply chains. In 2026, success will hinge on security teams’ ability to adopt AI not only as a defensive tool, but as a strategic imperative that keeps pace with the escalating speed, sophistication, and scale of AI-driven threats.
AI Will Dominate-as an Advantage and a Liability
AI’s dual role, as a force multiplier and a growing risk, will define the next year. “Shadow AI” will continue to proliferate as employees rely on public models without proper controls, inadvertently exposing sensitive information and creating invisible security gaps. This will push organizations to accelerate governance frameworks, deploy enterprise-grade AI solutions, and invest in sustained user education. At the same time, AI will be indispensable for defenders. Teams that fail to embrace AI-driven automation and analysis will fall behind quickly as attackers leverage the same technologies to work faster, hide better, and adapt in real time.
Attacks Will Shrink the Defender’s Window
One of the most dramatic shifts in 2026 will be the compression of exploitation timelines. Instead of taking days or weeks to identify, validate, and weaponize a vulnerability, AI-assisted threat actors will do so in minutes. Automated reconnaissance, rapid exploit generation, and adaptive attack chains will force defenders to rethink response models entirely. Detection, triage, and remediation will need to become far more automated so organizations can act within the shrinking window of opportunity before an attack turns into a breach.
“AI-Slop” Will Expand the Attack Surface
As AI-generated code becomes pervasive across both commercial software and open-source ecosystems, security teams will face an entirely new challenge: vulnerabilities created not by human oversight, but by machine-generated logic that can introduce subtle, novel weaknesses at massive scale. The explosion of this so-called “AI-slop” will force organizations to adopt continuous code analysis, automated scanning, and intelligent remediation pipelines capable of keeping pace with the volume and velocity of new software being produced.
Zero-Days Remain a Challenge
Zero-days will continue to be one of the most difficult categories of threats to defend against. By definition, organizations can’t patch what they don’t yet know exists. As exploitation timelines tighten, the only viable defense will be layered architectures, combining identity protections, network segmentation, behavior analytics, and rapid containment capabilities. The companies that excel in 2026 will be those that treat zero-day readiness not as a niche concern but as a core pillar of operational resilience.
Open Source and Supply Chain Risk Will Scale
Modern software relies on thousands of open-source dependencies, each representing a potential point of compromise. In 2026, the scope of supply chain risk will grow even faster as AI-generated code flows into both first-party and open-source components. The overwhelming volume of vulnerabilities will make it impossible to patch everything, pushing organizations to mature their prioritization strategies. Successful teams will shift from chasing every CVE to focusing on what matters most: the vulnerabilities that are both exploitable and mission-critical.
These trends signal a 2026 where cybersecurity success will depend on embracing AI at the same speed and scale as attackers, transforming defensive operations into an intelligent, automated, and prioritized system built to withstand the next era of machine-driven threats.
In light of these trends, Seemplicity is focused on advancing how AI supports not just detection, but decision-making and action across the exposure lifecycle. As the pace of attack continues to accelerate, the future of defense will belong to teams that can move from insight to remediation in near real time.
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ABOUT THE AUTHOR
Omer Tal is Director of Innovation in the CTO Office at Seemplicity. Omer has spent the last ten years deep in the world of cybersecurity research. He’s been part of teams at startups like Argus, VisibleRisk, and BitSight. Now, he’s diving into the nuts and bolts of vulnerability prioritization and remediation.
