Visibility
AI Visibility
Establish visibility into AI applications and workforce activity to help identify where and how AI is being adopted.
Explore AI Visibility →Shadow AI
Discover and Govern Shadow AI Across the Enterprise
CharterPoint helps organizations gain visibility into unapproved and unmanaged AI usage, establish appropriate policies, and apply governance controls without unnecessarily blocking productive AI adoption.
Shadow AI
What is Shadow AI?
Shadow AI refers to the use of artificial intelligence applications or services by employees outside an organization's established approval, governance, or technology management processes.
Employees may adopt AI tools to research information, write content, analyze data, develop software, summarize documents, or improve everyday productivity. When these tools are adopted without organizational visibility or defined policies, security, privacy, compliance, and governance teams may have limited understanding of how AI is being used.
CharterPoint helps organizations establish visibility into workforce AI usage and connect that visibility with policy enforcement, governance controls, auditability, and responsible AI adoption.
The Shadow AI Challenge
AI adoption can move faster than enterprise governance
Employees can discover and begin using new AI applications quickly. Without appropriate visibility and governance, organizations may not know which tools are being used, what information is being shared, or whether AI usage aligns with organizational policies.
Limited AI Visibility
Organizations may have limited visibility into the AI applications employees are using outside established technology processes.
Sensitive Information Exposure
Employees may interact with AI services using company information, intellectual property, source code, or other content that requires appropriate governance.
Inconsistent AI Policies
Different teams may adopt AI tools and practices without a consistent understanding of organizational requirements or acceptable-use policies.
Governance Blind Spots
Without appropriate records and monitoring, security, compliance, and governance teams may have difficulty understanding AI activity across the workforce.
Shadow AI Governance Approach
From Shadow AI discovery to governed AI adoption
CharterPoint connects AI visibility with inspection, policy enforcement, monitoring, and auditability to help organizations establish a more informed approach to Shadow AI governance.
1
Discover
Establish visibility into AI applications and workforce usage so organizations can better understand where Shadow AI is occurring.
2
Assess
Examine AI interactions and usage patterns to identify activity that may require additional organizational oversight or controls.
3
Control
Apply organizational policies and governance controls to AI interactions according to defined requirements.
4
Monitor
Maintain ongoing visibility into AI activity so governance teams can understand changing usage and respond to emerging requirements.
5
Govern
Use visibility, policies, controls, and governance records to establish a more consistent approach to enterprise AI adoption.
The objective is not simply to eliminate Shadow AI. It is to give organizations the visibility and governance capabilities needed to understand AI adoption and establish appropriate controls.
Shadow AI Governance Capabilities
Capabilities for managing Shadow AI
CharterPoint brings together the capabilities organizations can use to establish visibility, governance, and accountability around workforce AI usage.
Governance
Policy Enforcement
Apply organizational policies to AI interactions and establish consistent governance controls for workforce AI usage.
Explore Policy Enforcement →Compliance
AI Compliance
Support AI governance programs through monitoring, controls, visibility, and records of relevant AI activity.
Accountability
Audit Trail
Maintain appropriate records of AI activity and governance actions to support oversight and accountability.
Explore Audit Trail →Platform
CharterPoint Platform
Bring AI visibility, policy enforcement, governance controls, and auditability together in a unified approach to enterprise AI governance.
Explore the Platform →Knowledge
Knowledge Capture
Capture approved AI interactions and useful outputs as searchable organizational knowledge.
Enterprise AI Governance
Shadow AI is part of a broader AI governance strategy
Shadow AI is one area of enterprise AI governance. Organizations may also need to address broader questions around AI security, risk management, compliance, and responsible AI adoption.
Enterprise AI Governance
Establish the broader framework for visibility, policies, controls, accountability, and responsible AI adoption across the enterprise.
Explore Enterprise AI Governance →AI Security
Explore security considerations associated with enterprise AI usage, organizational information, and AI-enabled workflows.
Explore AI Security →AI Risk Management
Explore broader processes for identifying, evaluating, and managing risks associated with the adoption and use of AI.
Who Needs Shadow AI Governance?
Visibility and governance for teams managing enterprise AI adoption
Shadow AI can involve multiple teams across an organization. Establishing shared visibility can help technology, security, compliance, and business leaders develop a more consistent approach to AI adoption.
IT and Technology Leaders
Understand AI adoption across the workforce and establish visibility beyond formally managed applications and technology processes.
Security and Risk Teams
Gain visibility into AI activity and identify interactions that may require additional security or risk controls.
Compliance and Governance Teams
Support organizational AI policies with monitoring, governance processes, and appropriate records of AI activity.
Business and Enterprise Leaders
Understand how employees are adopting AI and support productive use while establishing appropriate organizational governance.
Shadow AI Questions
Common questions about Shadow AI
Practical answers to common questions organizations ask when developing a Shadow AI governance strategy.
Shadow AI can make it difficult for organizations to understand which AI applications are being used, how they are being used, what information is involved, and whether usage aligns with organizational policies and requirements.
Shadow AI generally describes AI usage that occurs outside established organizational visibility or governance processes. Whether a particular use is unauthorized depends on the organization's policies, approved applications, and governance requirements.
Organizations can establish visibility into AI applications and workforce AI activity, then use that information to understand adoption patterns and identify activity that may require governance attention.
Not necessarily. Organizations can use visibility and policy controls to understand AI adoption and determine appropriate requirements for different applications, data, interactions, and use cases.
AI visibility gives organizations information about AI applications and workforce usage. That visibility can provide a foundation for policies, controls, monitoring, risk management, and governance decisions.
CharterPoint supports Shadow AI governance through AI visibility, inspection, policy enforcement, governance controls, auditability, and organizational AI oversight.
Shadow AI Governance
Bring Shadow AI into a more governed framework.
See how CharterPoint can help your organization gain visibility into workforce AI usage and establish appropriate governance controls.
Schedule a Demo
or email directly:
sales@charterpoint.ai
sales@charterpoint.ai