Every AI action. Every approval. Every decision. Completely traceable.
The ZoikoVertex Audit Engine is a five-layer evidence architecture built into every governed workflow — Audit Trail, Decision Ledger, Evidence Vault, Forensic Hub, and Identity Ledger. Not a log. Not a report. A forensic-grade record of everything.
Audit Trail
Every system event — AI actions, approvals, policy triggers, integrations — timestamped, actor-linked, and retrievable.
Decision Ledger
Why approvals were made, rejections issued, overrides granted, and exceptions recorded — not just what happened.
Evidence Vault
Sealed evidence packages per campaign — prompts, outputs, approvals, publish confirmations, and export bundles.
Forensic Hub + Identity Ledger
Cross-referenced forensic reconstruction and identity binding for every privileged action and governance decision.
One evidence engine. Five components. Complete accountability.
Each layer serves a distinct governance function. Together they create an interlocked evidence system that covers every dimension of enterprise AI accountability.
The complete event log of everything that happened.
Records every material system event — AI agent tasks, workflow transitions, approval actions, policy checks, integration calls, user actions, and system state changes — with precise timestamps, actor references, and cross-links to related evidence records.
Explore Audit Trail
The record of why every material decision was made.
Sealed, exportable evidence packages per campaign.
Event chain reconstruction for disputes and investigations.
Every privileged action bound to actor, role, and session.
Every event linked across all five evidence layers.
What the Audit Engine captures across one campaign.
Every stage of a governed campaign creates evidence across all five layers simultaneously — automatically, without additional configuration.
Campaign brief created
Audit Trail: creation event logged. Identity Ledger: creator identity, role, and session bound to brief ID.
Evidence: event_id · actor_id · timestamp · brief_version_hash
AI agent generates content
Audit Trail: agent task events. Evidence Vault: prompt, model metadata, output, risk markers sealed per task.
Evidence: agent_id · prompt_hash · output_ref · risk_score
Policy trigger fires
Audit Trail: policy check event. Decision Ledger: rule matched, severity, recommended action. Evidence Vault: trigger capture.
Evidence: policy_rule_id · severity · trigger_context · reviewer_assigned
Approval decision recorded
Decision Ledger: decision rationale, approver identity, timestamp. Evidence Vault: decision sealed with full context.
Evidence: decision_id · approver_id · rationale · approval_context_ref
Content published to channel
Audit Trail: integration event. Evidence Vault: publish confirmation, final artifact, channel reference sealed.
Evidence: integration_ref · publish_confirmation · final_artifact_id
Full evidence package complete
Evidence Vault: exportable bundle assembled. All five layers cross-linked under a single campaign evidence ID.
Evidence: campaign_evidence_id · export_ready · all layers linked
What each layer captures, stores, and enables.
Complete event-by-event system log
Every AI task, workflow transition, approval action, policy check, integration call, and user action — timestamped and actor-referenced. Immutable append-only record.
Human-readable decision record
Approval rationale, rejection reasons, override justifications, exception notes, and policy waivers — capturing the reasoning behind every material governance decision.
Sealed campaign evidence packages
Prompts, AI outputs, policy check results, approved content artifacts, integration confirmations, and exportable bundles — sealed per campaign for legal readiness.
Cross-referenced dispute reconstruction
Reconstruct any disputed, failed, escalated, or anomalous event from linked Audit Trail, Decision Ledger, Evidence Vault, and Identity Ledger records in a single forensic view.
Privileged action identity binding
Every privileged action — approval, override, policy exception, configuration change — bound to actor identity, role, authority level, and session context. Accountability made undeniable.
Configurable retention and hold management
Retention classes per record type, jurisdiction-aware policies, and legal-hold controls that suspend deletion for records under litigation or regulatory review.
Every material action across the governed workflow produces an evidence record — no sampling, no gaps, no opt-out paths.
Cross-layer evidence for any campaign, decision, or disputed event surfaces in seconds rather than days of manual reconstruction.
Evidence bundles are assembled continuously and exportable on demand for auditors, regulators, and legal proceedings.
Every event type. Every evidence layer it creates.
The Audit Engine captures events across every operational layer and routes them to the appropriate evidence components automatically.
Auditability is not a cost. It is a governance asset.
Enterprises that can evidence their AI governance move faster through procurement, regulatory review, and security assessment — turning the audit layer from overhead into competitive advantage.
<30s
EVIDENCE RETRIEVALAnswer auditor, regulator, and legal questions in seconds — replacing the multi-week evidence reconstruction projects that follow every inquiry.
Zero
UNTRACEABLE ACTIONSNo AI action, approval, override, or publication occurs outside the evidence architecture. There is no path that bypasses the record.
Export ready
REGULATOR & LEGAL FORMATSEvidence bundles assemble continuously and export on demand — no scramble to reconstruct a defensible record after the fact.
Board ready
GOVERNANCE REPORTINGEvidence coverage, decision volumes, override rates, and policy trigger history reportable as governance KPIs for executive and board audiences.
Six roles. Six reasons the evidence layer changes everything.
Defensible records ready for proceedings.
Sealed evidence packages with decision rationale, retention classes, and legal-hold controls that stand up under scrutiny.
Every access, every change, every action — logged.
Identity-bound records for every privileged action, with append-only integrity and cross-layer linkage for incident review.
AI accountability the board can see and sign off on.
Evidence coverage, decision volumes, override rates, and policy trigger history reportable as standing governance KPIs.
Campaign evidence without extra operational overhead.
Evidence is created as the work happens — no separate logging step, no manual capture, no end-of-quarter scramble.
Governance evidence that clears vendor review faster.
Audit readiness demonstrated during security and procurement assessment — shortening the review cycles that delay enterprise deals.
An evidence layer that fits the existing estate.
Append-only event capture, identity binding, and export APIs that integrate with SIEM, data warehouse, and identity systems already in place.
Common questions about the evidence architecture.
See the five evidence layers in a live workflow.
A focused walkthrough showing how a single campaign generates Audit Trail events, Decision Ledger records, sealed Evidence Vault packages, forensic reconstruction, and identity binding — all from one governed run.