AI Visibility
Establish visibility into AI applications and workforce activity to provide a foundation for AI security and governance.
Explore AI Visibility →CharterPoint helps organizations strengthen AI security by establishing visibility into AI usage, identifying potentially sensitive information, applying organizational policies, and maintaining accountability across workforce AI interactions.
AI security includes the policies, controls, monitoring, and governance practices organizations use to protect information and reduce security exposure as employees adopt artificial intelligence across the workforce.
AI applications can be used for research, software development, writing, analysis, summarization, and many other business activities. These interactions can involve company information, intellectual property, source code, customer information, or other content that requires appropriate protection.
CharterPoint provides a governance layer that helps organizations understand AI usage, inspect interactions, apply security and organizational policies, and maintain records of relevant governance activity.
As AI becomes part of everyday work, organizations need to understand how employees interact with AI applications and what information is involved. Traditional security controls may not provide sufficient visibility into AI-specific interactions.
AI interactions can involve sensitive organizational information, intellectual property, source code, or other content that requires appropriate protection.
Security teams may have limited visibility into which AI applications employees are using and how those applications are being used.
Different teams may use AI applications in different ways, making consistent security and data-handling policies difficult to establish and apply.
Organizations need appropriate records of AI activity and policy actions to support security oversight, governance, and audit requirements.
CharterPoint connects visibility, inspection, policy enforcement, monitoring, and auditability to help organizations establish a more consistent security approach to workforce AI usage.
Establish visibility into AI applications and workforce activity so security teams can better understand the organization's AI footprint.
Examine AI interactions for potentially sensitive information and activity that may require additional security controls.
Apply organizational policies and controls to AI interactions according to defined data protection and governance requirements.
Maintain ongoing visibility into AI activity so security and governance teams can understand usage patterns and respond to changing requirements.
Maintain appropriate records of AI activity and policy actions to support security oversight, accountability, and audit readiness.
AI security is not simply about restricting access to AI. It is about giving organizations the visibility and controls needed to protect information while supporting responsible AI adoption.
CharterPoint brings together visibility, policy enforcement, compliance, and auditability to help organizations establish security controls around enterprise AI usage.
Establish visibility into AI applications and workforce activity to provide a foundation for AI security and governance.
Explore AI Visibility →Apply organizational policies to AI interactions involving sensitive information and defined security requirements.
Explore Policy Enforcement →Support AI security and governance programs through monitoring, controls, policy management, and governance records.
Maintain records of AI activity and relevant policy actions to support security oversight and auditability.
Explore Audit Trail →Bring AI visibility, policy enforcement, governance controls, and auditability together in a unified enterprise platform.
Explore the Platform →Capture approved AI interactions and useful outputs as searchable organizational knowledge while maintaining a governed approach to AI usage.
Protecting AI usage requires more than security controls alone. Organizations also need visibility, governance policies, risk management, and appropriate oversight across the AI lifecycle.
Establish the broader framework for AI visibility, policies, controls, accountability, and responsible enterprise AI adoption.
Explore Enterprise AI Governance →Gain visibility into AI applications and usage that may occur outside established organizational processes and governance.
Explore Shadow AI →Address broader processes for identifying, evaluating, and managing risks associated with enterprise AI adoption.
As AI becomes part of everyday business workflows, multiple teams may need visibility into how AI is being used and how organizational information is handled.
Establish visibility into workforce AI activity and identify interactions that may require additional security controls.
Understand the organization's AI footprint and establish consistent security policies across AI applications and workflows.
Support governance programs with AI monitoring, policy controls, records, and security-related oversight.
Support productive AI adoption while establishing an appropriate security and governance framework for enterprise use.
Practical answers to common questions organizations ask when establishing security controls for workforce AI usage.
AI applications can be used to process business information, source code, intellectual property, and other sensitive content. AI security helps organizations establish appropriate visibility, policies, controls, and oversight around that usage.
Organizations can establish visibility into AI usage, identify potentially sensitive information in AI interactions, define acceptable-use policies, and apply controls according to organizational security requirements.
Not necessarily. Organizations can establish policies and controls that support productive AI usage while applying additional restrictions or governance requirements to specific applications, information, interactions, or use cases.
AI visibility provides information about which AI applications are being used and how AI is being adopted across the workforce. That visibility can provide a foundation for security policies, controls, monitoring, and governance decisions.
An AI security policy defines organizational requirements for using artificial intelligence, including expectations around sensitive information, approved usage, security controls, monitoring, and accountability.
CharterPoint supports AI security by providing visibility into AI usage, inspecting AI interactions for potentially sensitive information, applying organizational policies, maintaining audit trails, and supporting governed enterprise AI adoption.
See how CharterPoint can help your organization establish visibility, protect sensitive information, apply AI security policies, and maintain accountability across workforce AI usage.