AI Security

Protect Enterprise Data Across Workforce AI Usage

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.

What is AI security?

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.

AI introduces new data and security considerations

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.

Sensitive Data Exposure

AI interactions can involve sensitive organizational information, intellectual property, source code, or other content that requires appropriate protection.

Limited AI Visibility

Security teams may have limited visibility into which AI applications employees are using and how those applications are being used.

Inconsistent Controls

Different teams may use AI applications in different ways, making consistent security and data-handling policies difficult to establish and apply.

Security Accountability

Organizations need appropriate records of AI activity and policy actions to support security oversight, governance, and audit requirements.

From AI visibility to stronger security controls

CharterPoint connects visibility, inspection, policy enforcement, monitoring, and auditability to help organizations establish a more consistent security approach to workforce AI usage.

1

Discover

Establish visibility into AI applications and workforce activity so security teams can better understand the organization's AI footprint.

2

Inspect

Examine AI interactions for potentially sensitive information and activity that may require additional security controls.

3

Protect

Apply organizational policies and controls to AI interactions according to defined data protection and governance requirements.

4

Monitor

Maintain ongoing visibility into AI activity so security and governance teams can understand usage patterns and respond to changing requirements.

5

Audit

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.

Capabilities for securing workforce AI usage

CharterPoint brings together visibility, policy enforcement, compliance, and auditability to help organizations establish security controls around enterprise AI usage.

Visibility

AI Visibility

Establish visibility into AI applications and workforce activity to provide a foundation for AI security and governance.

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Protection

Policy Enforcement

Apply organizational policies to AI interactions involving sensitive information and defined security requirements.

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Compliance

AI Compliance

Support AI security and governance programs through monitoring, controls, policy management, and governance records.

Accountability

Audit Trail

Maintain records of AI activity and relevant policy actions to support security oversight and auditability.

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Platform

CharterPoint Platform

Bring AI visibility, policy enforcement, governance controls, and auditability together in a unified enterprise platform.

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Knowledge

Knowledge Capture

Capture approved AI interactions and useful outputs as searchable organizational knowledge while maintaining a governed approach to AI usage.

AI security is part of a broader governance strategy

Protecting AI usage requires more than security controls alone. Organizations also need visibility, governance policies, risk management, and appropriate oversight across the AI lifecycle.

Enterprise AI Governance

Establish the broader framework for AI visibility, policies, controls, accountability, and responsible enterprise AI adoption.

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Shadow AI

Gain visibility into AI applications and usage that may occur outside established organizational processes and governance.

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AI Risk Management

Address broader processes for identifying, evaluating, and managing risks associated with enterprise AI adoption.

Security visibility for organizations adopting AI at scale

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.

Security Teams

Establish visibility into workforce AI activity and identify interactions that may require additional security controls.

IT and Technology Leaders

Understand the organization's AI footprint and establish consistent security policies across AI applications and workflows.

Risk and Compliance Teams

Support governance programs with AI monitoring, policy controls, records, and security-related oversight.

Enterprise Leadership

Support productive AI adoption while establishing an appropriate security and governance framework for enterprise use.

Common questions about enterprise AI security

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.

Enterprise AI Security

Build a more secure approach to 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.