AI is now embedded across cloud environments, fundamentally reshaping the security perimeter through autonomy.
The ‘State of AI in the Cloud’ report by Wiz, defines the security issues facing all enterprises.
AI is Now Core Operational Infrastructure
While 2025 was the year of experimentation, 2026 is the year of integration. With 81% of organizations using managed services and 90% running self-hosted models, adoption now spans every major industry and is embedded across cloud environments, development workflows, and automation.
AI Adoption Extends Beyond Direct Deployment
AI ownership is often indirect; 68% of organizations running self-hosted models ingest them through third-party software. This “transitive AI” means security teams may be inheriting model risks and supply chain vulnerabilities without explicit deployment or central oversight.
AI-Assisted Development Is the Default, with Systemic Effects Across Applications
With 80% of organizations using AI IDE extensions, “vibe coding” has become a day one reality for engineers. But this speed is not without risk: roughly one in five organizations using these platforms have been found to have systemic security weaknesses due to insecure AI generated defaults.
Agents and MCP Servers Expand the Attack Surface
The shift toward autonomy is accelerating, with 57% of organizations deploying self-hosted AI agents and 80% adopting Model Context Protocol (MCP) servers.
These components create new, often overprivileged control planes that attackers can exploit to move laterally across sensitive data stores.
Cyber Gear is providing to Dubai government entities, attack surface management and SecureDNS solutions. Request for a demo or visit https://www.cyber-gear.ai for more information.
Additional Resources:
In 2025, Cyber Gear was approved for the Dubai AI Seal by the Dubai Centre for Artificial Intelligence. Case Studies at https://www.cyber-gear.ai