---
title: "Manage AI Innovation Risks"
url: "https://www.armorcode.com/manage-ai-innovation-risks"
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Manage AI Innovation Risks
Manage AI Innovation Risks
De-risk AI innovation
****Scale AI securely. Govern at machine speed. Reduce security risk.****
Manage AI’s footprint across your enterprise—from applications integrating AI components to systems enriched with model- or agent-based intelligence.
[Hear Expert Insights on AI Risks](https://www.armorcode.com/video/pbc-connect-black-hat-usa-2025-rethinking-risk) [See How ArmorCode Helps](https://www.armorcode.com/request-a-demo)
Why traditional security can’t keep up
AI is transforming applications—powering new features, enabling intelligent automation, and accelerating delivery. But embedding AI expands your exposure across codebases, services, and cloud environments, creating risks and vulnerabilities that traditional security tools cannot manage.
Expanding attack surfaces
AI models, frameworks, SDKs, plugins, and agents are now embedded throughout your applications. Without real-time visibility into where these components exist and how they change, organizations can’t establish governance or enforce controls.
Shadow applications & infrastructure
Teams can quickly prototype or integrate AI features using open-source models, third-party APIs, or local frameworks. But these AI-powered components often bypass inventories, CI/CD processes, and security gates—creating shadow AI across the stack.
The ownership problem
As more teams embed AI into applications, responsibility becomes fragmented. Without clear ownership, issues go unresolved and risks accumulate across teams, workflows, and environments.
The rapid expansion of AI-embedded apps
80 %
Of enterprises will have used GenAI APIs or deployed GenAI-enabled apps by 20261
63 %
Of mobile app developers are integrating AI features into their apps2
60 %
Of enterprise SaaS products now have embedded AI features3
1 Source: Gartner Press Release, Stamford, CT, October 11, 2023
2 Source: Zipdo Education Report 2025, “AI In The Mobile App Industry Statistics”, May 30, 2025
3 Source: Founders Forum Group, “AI Statistics 2024–2025: Global Trends, Market Growth & Adoption Data”, June 23, 2025
How ArmorCode Helps
De-risking AI today, not tomorrow
Govern AI risks without slowing down innovation. ArmorCode provides unified visibility, intelligent prioritization, automated ownership attribution, continuous monitoring, and more to help you secure applications that use and embed AI.
Code Insights
Automatically classify code repositories to understand what’s being built and who’s building it. Detect material code changes that require closer security review, including AI-generated commits and framework additions.
Hidden asset discovery
Automatically identify AI-powered services, AI libraries, AI plugins, containers, APIs, and infrastructure components connected to or used within your applications—before they reach production. Prevent shadow AI and establish governance early in the development process.
Intelligent correlation engine
Automatically processes findings across the enterprise to eliminate noise and identify root causes. Reduce alert volume by up to 90% so your team focuses on what truly matters—not duplicates.
Developer ownership attribution
Map changes, integrations, and findings back to the teams responsible for managing AI-driven functionality. Enable faster ticket assignment, automated SLAs, and improved collaboration between security and development teams.
Anya: agentic AI security champion
Replace complex dashboards with natural language conversations. Get role-specific insights, remediation guidance, and contextual analysis from your security data at machine speed.
Continuous governance
ArmorCode centralizes controls, requirements, and evidence artifacts—from SOC 2, ISO 27001, PCI, and CRA to internal policies—into a single system of record. Automated evidence collection, policy enforcement, and real-time posture tracking ensure teams maintain governance and remain audit-ready across the entire SDLC without slowing engineering down.
SBOMs for AI/ML models & datasets
ArmorCode extends SBOM visibility beyond traditional software to include AI/ML models, datasets, training pipelines, and dependencies. This gives organizations full transparency into model components, licenses, data lineage, and security posture—ensuring safe, compliant, and trustworthy AI.
Customer Testimonials
Hear from teams tackling AI innovation risks
> “[ArmorCode] is effective in unifying security findings and using AI to prioritize critical vulnerabilities. It seamlessly integrates with existing workflows and offers proactive remediation of issues. Aggregating security findings from multiple tools in an enterprise is a challenge. ArmorCode has helped us overcome this challenge to a large extent.”
 Gartner Peer Insights Head of Cloud Security, $10B Banking Company
> “[ArmorCode is a] key element for our risk reduction program in a large scale matrix organization.”
 Gartner Peer Insights Security Engineer, $1B IT Services Company
> “ArmorCode provides a comprehensive platform to ingest data from multiple security tools, integrations and also derive risk based metrics, allowing to manage the risk in an effective manner.”
 Gartner Peer Insights Head of Application Security, $30B US Banking Company
Learn more about AI innovation risks
[ Podcast
AI Inside & Out: Managing the New Risks in Your Code & Apps
](https://www.armorcode.com/podcast/ai-inside-out-managing-the-new-risks-in-your-code-apps) [ White Paper
Securing the Future: Managing the Risks of AI-Generated Code and Applications
](https://www.armorcode.com/white-paper/securing-the-future-managing-the-risks-of-ai-generated-code-and-applications)
The Time to Act is Now
Every application embedding AI expands your attack surface.
De-risk it today.
[Get started](https://www.armorcode.com/request-a-demo)