Enforce AI Acceptable Use Policies at Runtime

Use Case

AI acceptable-use policies only work when they can be enforced consistently across the tools employees and agents actually use. PointGuard AI turns written policies into runtime controls for prompts, responses, and agent workflows.

Challenges

The AI environment creates several recurring security and governance challenges:

Native safeguards vary across models and AI providers
Written policies cannot stop violations in real time
Prompts and responses may contain unsafe or restricted content
Agent workflows extend policy risk into tools and data

Solution

PointGuard AI provides a comprehensive solution that translates acceptable-use requirements into consistent runtime controls:

1. Define policy boundaries. Use AI Intelligent Guardrails and AI Governance to establish security, data protection, content, and usage rules that reflect enterprise requirements.

2. Inspect prompts and responses. Evaluate user and application interactions for malicious, toxic, inappropriate, sensitive, or otherwise restricted content.

3. Enforce policy actions. Block or modify interactions that violate approved AI usage rules before disallowed content reaches its destination.

4. Extend policy to agents. Apply the same controls to agent prompts, responses, tool interactions, and MCP-connected workflows.

Centralized enforcement gives enterprises a consistent acceptable-use standard across models and agentic systems instead of relying on provider-specific safeguards.