---
title: "AI Security: Confidence vs. Control"
url: "https://www.armorcode.com/report/ai-security-confidence-vs-control-state-of-ai-risk-management-2026-infographic"
markdown_url: "https://www.armorcode.com/report/ai-security-confidence-vs-control-state-of-ai-risk-management-2026-infographic.md"
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primary_entity: "AI Security: Confidence vs. Control"
citation_value: "Published on ArmorCode; canonical URL https://www.armorcode.com/report/ai-security-confidence-vs-control-state-of-ai-risk-management-2026-infographic."
last_updated: "2026-09-01T06:53:22-07:00"
---

<h1>AI Security: Confidence vs. Control</h1>

AI is rapidly reshaping how software is built, tested, and deployed. But as AI adoption accelerates, security teams are facing new challenges in visibility, governance, and risk prioritization.

This infographic highlights key findings from the **[State of AI Risk Management 2026](https://www.armorcode.com/report/state-of-ai-risk-management-2026-report)** report, revealing how organizations are navigating the evolving AI security landscape.

**Download the infographic to explore the data and insights.**

    [![<strong>Download the infographic</strong>](https://hubspot-no-cache-na2-prod.s3.amazonaws.com/cta/default/8032118/interactive-346419719880.png)](https://8032118.hs-sites-na2.com/hubfs/Resources/ArmorCode_Infographic_AI-Security-Confidence-vs-Control_State-of-AI-Risk-Management-2026-report.pdf?hsCtaAttrib=346419718904)    ![AI Security: Confidence vs Control - The State of AI Risk Management 2026 report infographic](https://www.armorcode.com/wp-content/uploads/2026/03/ArmorCode_Infographic_AI-Security-Confidence-vs-Control_State-of-AI-Risk-Management-2026-report_interstitial_R1_updated-3-26-26-png.webp)

<h3>Key insights from the research:</h3>

- **66%**report extensive AI use in software development
- **78%**have deployed or are piloting agentic AI systems
- **70%**report AI-generated vulnerabilities in production
- **81%**say fragmented security tools make risk prioritization harder

These findings highlight how AI-driven development is introducing new operational and security challenges for modern enterprises.

<h3>Why security teams need to focus on AI risk</h3>

As AI becomes embedded across development environments and enterprise tools, security leaders must adapt to:

- Expanding **shadow AI usage**
- Increasing **AI-generated code vulnerabilities**
- Rising **security tool fragmentation**
- Growing pressure to **prioritize the vulnerabilities that matter most**

Understanding these shifts is essential for organizations looking to manage risk in an AI-driven development world.

<h3>Download the infographic</h3>

Get the full **AI Security Insights infographic** and explore the data shaping the future of AI security.

   [![<strong>Download the infographic</strong>](https://hubspot-no-cache-na2-prod.s3.amazonaws.com/cta/default/8032118/interactive-346419718904.png)](https://cta-na2.hubspot.com/web-interactives/public/v1/track/redirect?encryptedPayload=AVxigLKNh8R6HrwTkYLmNS9wWCO8NB31PY8JwWbeZtvQrUACT%2Beef0TNpVup3UUKrzgfG0UukMzJCNbcl8irHMWwA90MCf5v7Knb6oVki10YOFk2pMlgznWtU1pqQZzOda%2F%2BLZccPYOBVS%2FvOIfK1YU%2Fo0tK%2ButpxocLcxzBXFEZ%2FEGKyoL9LCoyKgFRsX7mEjqvTfJ1g%2BMOwtOhrWoSoATzNP7U54myeUxWSE23UyNyRxpbTi31lEGHVepZR2bkjyAKpoUjjqX88AxEyrZyh49BRxc%2FrOsSapNGq9zBGDOiMpeFrJPI0as2natdWq1U1sY%2FS%2F3FtA%2FMd67yRU67gI1SMBVC&webInteractiveContentId=346419718904&portalId=8032118)