External, fail-closed governance for AI workflows
AIQCYSY provides policy-driven ALLOW / REVIEW / BLOCK decisions for governed events (outputs and tool actions) when integrated into an enterprise workflow, and produces audit-ready evidence per decision.
AIQCYSY is developed by MirrorCrest, an applied AI governance and cybersecurity firm.
What the control plane returns
- ALLOW — proceed with the governed output/action
- REVIEW — pause for accountable approval
- BLOCK — stop; do not execute
Implementation specifics (detectors, connectors, enforcement configuration) are shared under NDA. This site describes outcomes and integration-level behavior.
Product
Integrates as a workflow gate (API and/or gateway pattern) so governed outputs and tool actions can be evaluated before they create external effects.
Evaluate governed events
Workflows submit a governed event and receive a deterministic decision and reason codes.
Mediated execution
Tool/action execution can be mediated so AI does not directly execute external effects.
Evidence per decision
Decision and override records can be exported for audit, incident response, and governance reporting.
Decision event record (fields only)
This example is synthetic and does not disclose detectors, thresholds, or internal rule logic.
What governance looks like in real workflows
External communications
An assistant drafts an outbound email. AIQCYSY can require REVIEW or BLOCK before sending based on policy, and record the decision for audit.
Data export & attachments
A workflow attempts to export data or attach a report. AIQCYSY can require accountable REVIEW before the action is executed and record the outcome.
Ticketing & workflow updates
An agent proposes closing a ticket or changing a record. AIQCYSY can gate the update when risk or scope requires review and preserve an evidence trail.
Examples are synthetic and provided for clarity. They do not disclose internal enforcement logic.
Governance Layer
Enterprises often have AI policies but lack a runtime enforcement and evidence layer inside real workflows. AIQCYSY is designed to operationalize policy decisions with auditable outcomes.
Runtime decisions
Policy-driven decisions can be applied consistently across governed workflows.
Accountable approvals
Sensitive actions can require explicit approval and produce an attributable record.
Fail-closed behavior
If governance evaluation is unavailable or ambiguous, actions can be held or blocked.
Threat Landscape
When AI is used in workflows, risk expands from output quality to action execution. Common risk classes include instruction hijacking, sensitive data leakage, and unauthorized external actions.
Public references for context: OWASP Top 10 for LLM Applications and UK NCSC guidance on prompt injection.
Instruction hijacking
Workflow inputs can contain untrusted instructions that change intent or action selection.
Data leakage
Outputs can inadvertently include sensitive or regulated information in the wrong context.
Unauthorized actions
Agents can attempt external effects without appropriate approvals or boundaries.
NIST
AIQCYSY is informed by established risk and cybersecurity practices, including NIST’s Cybersecurity Framework (CSF) and draft work on AI-era cybersecurity guidance.
Draft NIST guidelines to rethink cybersecurity in the AI era: NIST announcement.