AI Usage Control
From SaaS and web chatbots to local desktop agents and MCPs, Lasso enables enterprises to confidently utilize AI across every department while keeping sensitive data and brand standards fully protected.
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Why AI Usage Control Matters to Enterprises
Lack of Visibility into Shadow AI
Most organizations have no centralized way to see who is using which AI and where, what is being shared, or how many "Shadow AI" agents have crept into the daily workflow. Without visibility, there can be no governance.
Decentralized Ownership
Because AI is so easy to access, everyone from HR to Marketing is now using or building agents. This democratization of technology means that ownership is scattered, and no one is clearly responsible for the creation, identity management, or long-term maintenance of these automated agents.
Evolving Compliance Standards
AI legislation is evolving fast and varies by category. Managing these complex requirements is a massive administrative burden that often leads to a "default-to-no" stance on new AI projects to avoid legal risk.
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Comprehensive Discovery, Zero Blind Spots
Discover, inventory, and assess every AI asset across your enterprise, from models to SaaS and web chatbots to local desktop agents or homegrown agents and their connected tools. If an agent triggers a high risk score, block it instantly.
Security Without Slowing Down
Monitor every AI interaction in real-time across your human and agentic workforce. Help employees safely use AI through real-time "coachable moments" that mask sensitive data and guide on what is safe to share.
Governance Across the Execution Path
Deploy intent-aware policies in minutes to enforce role-based permissions and strict Data Loss Prevention (DLP). Whether it’s a browser-based chatbot or a local coding agent, Lasso applies runtime enforcement to stop leaks and moderate content the moment an interaction occurs.
Automated Compliance & Usage Reports
Map your policies to NIST, OWASP, MITRE and more using plug-and-play templates or enforce your own internal rules with custom policies. Generate audit-ready reports that prove governance by analyzing usage trends that spot high-risk users and compare AI provider performance.
Core Components of AI Usage Control
Data Loss Prevention
Detect and monitor in real time if PII, PCI, or any other sensitive data is shared in prompts or file uploads, and mask those contents before the prompt is sent to 3rd party models.
Content Moderation
Define exactly what topics can and cannot be discussed with AI according to your use case and industry requirements, while blocking standard risks like hate speech, violence, and more.
Access Management & User Permissions
Limit which AI agents are available to certain roles, restrict high-risk actions based on clearance levels, and ensure that access decisions reflect both identity and context.
Audit Trails
Trace every interaction and keep a complete record for audit purposes. Maintain a granular history of all inputs, policy decisions, and enforcement actions, giving you the visibility needed to satisfy regulators and adapt instantly as compliance requirements change.
AI Threat Detection and Response
Detect AI threats and alert on or block inputs designed to bypass safety guardrails or trick the agent into performing unauthorized actions.
FAQs
What is AI usage control?
What is shadow AI and why is it a security risk?
How to prevent data leakage through AI tools?
What AI usage policies should enterprises implement?
How does Lasso monitor AI usage across the organization?
What compliance standards apply to enterprise AI usage?
How to create an AI acceptable use policy?
Can Lasso control AI usage without blocking productivity?
What types of AI tools does Lasso discover and monitor?
How quickly can enterprises deploy AI usage controls with Lasso?
