The Top 10 AI Exposures of 2026
A Rundown and Remedial Primer on the Most Common & Costly AI Security Risks
Enterprise AI adoption is accelerating faster than security teams can govern it. ChatGPT, Microsoft Copilot, Claude, Gemini, AI coding assistants, autonomous agents, and MCP servers are now embedded across business operations.
Yet most organizations still lack visibility into what AI tools are being used, what data they can access, and what actions they can take.
In this research report, Remedio analyzes the ten AI exposures most likely to exist inside enterprise environments today and most likely to be exploited in the coming year.
Download the report to learn:
-
How shadow AI, overprivileged agents, prompt injection, and MCP allowances create risk
-
Why traditional security controls fail to govern AI environments
-
The business impact of AI-related breaches and data exposure
-
Practical guidance for reducing AI risk and strengthening governance
Fill in the accompanying form to get started.
Battle Shadow With Light
Get a clear understanding of where risks exist across AI tools, identity and access systems, enterprise data environments, agent frameworks, MCP infrastructure, and AI supply chains.
Stem the Bleeding
98% of organizations have unsanctioned AI use. At the same time, AI-related breaches are becoming more common while bearing greater financial costs. Take back control.
Govern Without Compromise
With access to corporate data, business systems, code repositories, cloud environments, and communication platforms, any AI compromise risks organization-wide fallout. Context-aware governance keeps you safe and productive.