Control Sensitive Data Before AI Moves It

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

CharliAI delivers on the AI SecOps promise to help regulated enterprises deploy AI without losing control of sensitive data. The CharliAI Ancaeus™ platform applies zero-trust access controls, policy enforcement, identity inheritance, delegated authorization, data containment, and audit evidence across every AI-assisted workflow.

See how CharliAI controls AI exposure in real time

Watch how policy enforcement, forensic trace, and data protection work together across agentic workflows.

The biggest AI security risk is uncontrolled data movement.

 

AI expands the enterprise attack surface beyond applications, copilots, and databases. Sensitive data now moves through prompts, models, agents, retrieval systems, APIs, workflow tools, and third-party services. Without runtime control, the organization loses visibility into where data goes, what policies apply, and whether exposure occurred.

CharliAI is designed to control that risk without disrupting existing enterprise systems or AI initiatives. Ancaeus™ operates as a middleware control layer that integrates with existing applications, workflows, data environments, models, and agents, allowing organizations to add policy enforcement, containment, identity control, and forensic trace without rip-and-replace.

It applies policy boundaries, identity enforcement, data containment, and audit-ready evidence across the full lifecycle of an AI workflow.

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. Execution Traceability & Forensic Evidence 

  • 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.
  • Security for Sovereign AI: 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