AI Dominates Cybersecurity Predictions for 2026

January 18, 2026

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Artificial intelligence was an inescapable technology in 2025 and will be even more so in 2026, particularly in cybersecurity.

While generative AI has posed significant challenges for infosec pros, the spread of agentic AI in the new year will further burden already-stressed security teams. On the flip side of that coin, though, is the promise of AI-powered applications that can improve cybersecurity for all organizations.

With those developments in mind, here are what some cybersecurity experts see in their tea leaves for 2026.
White Hats will gain advantage over black hats.

While threat actors are quickly accelerating their tactics with AI-enabled scale, defenders are poised to regain the advantage in 2026, predicted Nicole Reineke, a senior product leader for AI at N-able, a global IT management and cybersecurity software company.

“Defenders can see the whole board,” she told TechNewsWorld. “Unlike attackers, who often operate alone, with limited creativity, security vendors can aggregate patterns across thousands of attempted intrusions to better understand popular tactics and strategies.”

“This cross-actor visibility allows defenders to proactively identify emerging techniques long before individual organizations are targeted,” she continued. “In 2026, this network-level intelligence will become one of the most powerful differentiators in cyber resilience, enabling defenders to predict and neutralize attacks before they begin.”

Russ Ernst, CTO of Blancco Technology Group, a global company that specializes in data erasure and mobile device diagnostics, explained that AI’s inherent ability to detect patterns in large datasets improves security threat detection and identifies vulnerabilities in real time. “This helps organizations meet increasingly complex compliance requirements, and will minimize costly breaches, data leaks, and regulatory penalties,” he told TechNewsWorld.

“By embedding AI into IT asset management, enterprises can detect and isolate rogue or untracked devices before they become attack vectors while securing configuration baselines, including security settings, permissions, and configurations for systems and components,” he continued.

“Leveraging AI for better organization-wide security protections will lighten the load on cybersecurity teams already stretched thin, improve data security, and assist with increasingly complex data privacy laws and regulation compliance,” he added.
Agentic AI will revolutionize DevSecOps.

The next wave of AI development will revolve around agentic architectures, AI that can plan, reason, and act across systems, explained Ensar Seker, CISO of SOCRadar, a threat intelligence company in Newark, Del. “In DevSecOps, this means AI that not only flags vulnerabilities, but also files a Jira ticket, forks the repo, fixes the issue, and raises a pull request, without human intervention,” he told TechNewsWorld.

“This isn’t science fiction,” he asserted. “It’s already happening in prototype environments, and by 2026, security teams will increasingly rely on agentic AI to handle low-level security debt while focusing on strategic risks.
Shadow AI will run rampant.

“In 2026, Shadow AI will continue to run rampant in organizations and lead to the loss of more personally identifiable information and intellectual property,” predicted Joshua Skeens, CEO of Logically, a managed security and IT solutions provider headquartered in Dublin, Ohio.

He explained that as the race continues for businesses to find ways to increase efficiency and reduce costs by leveraging AI, many continue to look past the risks that this is creating in their organizations. “Employees are citing growing frustration with generic directives to use AI to do more, but most don’t understand where to begin, what to do, and most importantly, what not to do when leveraging AI,” he told TechNewsWorld.