Keep Sensitive Data Under Control Across AI Workflows

Protect, restrict, trace, and audit how sensitive data is accessed, used, and exposed across models, agents, workflows, and enterprise systems.

CharliAI helps regulated organizations deploy AI without losing control of sensitive data. Ancaeus™ applies zero-trust access controls, policy enforcement, identity inheritance, data containment, and audit evidence across every AI-assisted workflow.

Charli Security & Data Sovereignty

The biggest AI security risk is uncontrolled data movement.

 

AI expands the enterprise attack surface beyond applications, endpoints, and databases. Sensitive data now moves through prompts, models, agents, retrieval systems, APIs, workflow tools, and third-party services. If that movement cannot be restricted, traced, and audited, the organization has exposure it cannot defend. ​

Standard AI tools often lack enterprise-grade controls over what data is retrieved, how context is assembled, which model or agent can use it, where outputs can move, and what evidence is preserved. That creates breach, compliance, sovereignty, and audit risk.

Ancaeus™ is designed to control that risk. It applies policy-bound access, containment, identity inheritance, workflow traceability, and audit evidence from the moment a request is initiated through final output, review, and downstream use

Security Controls Built for AI Workflows

1. Zero-Trust Data Access & Context Control

  • Need-to-know filtering across retrieval and context construction
  • Identity inheritance across users, agents, workflows, and systems
  • Purpose-bound access controls for sensitive enterprise data

2. Policy Enforcement & Authorization

  • Attribute-based access control with dynamic policy triggers
  • Real-time authorization checks and approval checkpoints
  • Human-in-the-loop controls for high-risk actions and decisions

3. Privacy, Containment & Forensic Traceability

  • Immutable execution logs and forensic reasoning traces
  • Controlled contextual memory with configurable retention and purge policies
  • Encryption at rest and in transit, with audit evidence captured throughout execution

4. Data Containment and Sovereignty

  • Constrain where sensitive data can be retrieved, processed, routed, stored, and reused across AI workflows.
  • Enforce jurisdictional, organizational, and customer-specific boundaries across models, agents, tools, and enterprise systems.
  • Preserve audit evidence showing how data moved, what controls applied, and whether sovereignty requirements were maintained.

Security Is Built Into the Execution Layer

Standard AI controls are often applied after a model produces an output. CharliAI takes a different approach: Ancaeus™ applies security, policy enforcement, data containment, and audit evidence throughout workflow execution.

  • Verifiable Execution: Every workflow captures the data, policies, model activity, actions, and outputs required for review and audit.
  • Industrial-Grade Control: AI activity is managed through controlled execution paths, not unmanaged model responses.
  • Built for Sovereignty: Sensitive data access, routing, retention, and reuse are constrained within defined organizational, jurisdictional, and customer-specific boundaries.

Controls AI Exposure Across the Enterprise Stack

CharliAI connects across existing systems to control how AI accesses data, applies policy, executes workflows, and records audit evidence.

See how CharliAI helps enterprises deploy AI without creating unmanaged exposure

Get in touch to see how CharliAI can help your organization control AI access, enforce policy, trace workflow activity, and produce audit-ready evidence across existing systems.

Request an AI Exposure Briefing