Manage Workforce AI Usage

Use Case

Enable employees to use approved AI assistants, browsers, coding tools, extensions, and embedded services without losing visibility or control. Continuously discover Shadow AI, measure adoption, enforce contextual policies, and protect sensitive information in prompts and responses.

Challenges

Workforce AI adoption often expands faster than security teams can govern it. Traditional browser, CASB, and endpoint controls provide limited insight into AI-specific activity:

• Approved and unapproved AI services remain difficult to inventory
• Security teams cannot see what employees share with AI
• Access requirements vary by user, department, device, and application
• Prompt injection and data leakage bypass conventional controls

Solution

PointGuard AI provides a comprehensive solution for workforce AI discovery, contextual access, and data protection:

1. Discover workforce AI. Use Workforce AI Usage Control to identify approved and unapproved assistants, browsers, coding tools, extensions, and embedded services.

2. Measure adoption and risk. Track usage and violations by user, department, device, and application to identify Shadow AI and risky behavior.

3. Enforce contextual access. Allow, block, notify, or restrict AI services according to user, business unit, device, application, and policy.

4. Protect AI interactions. Use AI Data Protection to inspect prompts and responses for intellectual property, source code, credentials, regulated data, and malicious content.

Employees can use approved AI productively while security teams retain enterprise-wide visibility, policy consistency, and accountability.

Risks Addressed

Applicable framework risks and controls include:

OWASP Top 10 for LLMs

• LLM01:2026 Prompt Injection
• LLM02:2026 Sensitive Information Disclosure
• LLM03:2026 Excessive Agency
• LLM10:2026 Improper Output Handling

OWASP Top 10 for Agentic Applications

• ASI01: Agent Goal Hijack
• ASI02: Tool Misuse and Exploitation
• ASI03: Identity and Privilege Abuse
• ASI10: Rogue Agents

NIST AI Risk Management Framework

• GOVERN 1.4: Transparent risk policies, procedures, and controls are established
• MAP 1.1: Intended use, context, users, and lifecycle risks are documented
• MEASURE 2.7: AI system security and resilience are evaluated and documented
• MANAGE 4.1: Post-deployment monitoring and change management are implemented