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2026 Security: AI Agents & Failing Training Spell Risk
12 Oct
Summary
- Unmanaged AI agents proliferate, creating unassessed attack surfaces.
- Post-quantum cryptography migration must begin in 2026.
- Current security training is failing due to generative AI use.
In 2026, corporate security teams are navigating a complex landscape shaped by three converging forces. The rapid, often unapproved, spread of agentic AI within companies presents new, unassessed attack surfaces. Simultaneously, regulatory and geopolitical pressures are escalating, reaching executive levels.
Gartner highlights agentic AI proliferation as a significant concern, driven by no-code and vibe coding. This trend, termed "unmanaged AI agent proliferation," leads to code shipped without security checks and breaches of data movement rules. Security leaders must inventory these agents and develop incident response plans for unexpected agent behavior.
The shift to post-quantum cryptography is another critical trend, with Gartner advising that migration work must commence in 2026, not closer to 2030. The immediate risk involves 'harvest now, decrypt later' attacks where adversaries store encrypted data to decrypt once quantum computing is feasible.
Identity and access management systems are strained as they were designed for human users, not autonomous machine actors. The issuance, rotation, and revocation of credentials for AI agents pose significant challenges, potentially leading to access-related breaches if not managed effectively.
Furthermore, generative AI use is outpacing traditional security awareness training. A significant percentage of employees use personal GenAI accounts for work, often inputting sensitive information. Gartner recommends adapting training to observed behaviors and embedding secure practices into daily workflows, moving beyond annual compliance modules to continuous measurement.
