Control Sensitive Data Before AI Moves It.
Protect every record, every model, and every decision. CharliAI prevents uncontrolled data exposure across agents, workflows, and enterprise systems.
Data Protection Enforced at Runtime
Enforce how agents access, use and move sensitive data across every workflow and system - with forensic trace and runtime intervention.
Runtime Governance for AI Security & Data Protection
One layer of control across every agent, workflow, and system.
See Everything
Real-time visibility across agents, data, prompts, models, and systems.
Control Access
Enforce identity, consent, policy, and permissions at runtime.
Govern Execution
Apply policy to every step, decision, and data flow in a workflow.
Reduce Risk
Prevent data exposure, policy violations, and rogue behavior.
Prove Compliance
Tamper-evident audit trails and forensic evidence, always ready.
Uncontrolled Data Movement.
AI agents can access, copy, share, and act on sensitive data at machine speed—often outside of human visibility and approval.
CharliAI stops exposure before it becomes a breach, an audit failure, or a compliance issue.
What CharliAI Controls
- Data access & usage
- Prompt & response handling
- Model & tool interactions
- Agent actions & delegated authority
- Cross-system data transfers
- Third-party & external exposure
- Policy violations & anomalies
- Audit trails & forensic evidence
Purpose-Built for Regulated Enterprises
Protect sensitive data and maintain compliance across every industry.
Financial Services
Secure customer data, transactions, and models.
Insurance
Protect policyholder data and underwriting models.
Government
Safeguard citizen data and national systems.
Healthcare
Protect PHI and ensure HIPAA compliance.
Legal & Professional Services
Protect confidential information and privilege.
Measure. Manage. Reduce. Demonstrate Value.
CharliAI quantifies and reduces AI risk while improving operational efficiency.
News, Insights & Latest Articles

Secure and Conditional State Propagation in Agentic AI

Human-in-the-Loop Doesn’t Scale at Machine Speed

