Aondor

AI Governance Infrastructure

You deployed AI across your organization. You have no idea what it is doing. Aondor sits between your AI tools and your humans, evaluating every output before it reaches a clinician, attorney, or analyst. Real-time visibility. Deterministic enforcement. Board-ready reporting.

It does not replace your AI tools. It governs them.

Patent Pending

Ungoverned AI outputs create unmeasured enterprise liability

Organizations are deploying AI across clinical workflows, legal analysis, financial processing, and customer operations with no governance layer between the model and the human who acts on its output.

Most organizations cannot answer basic questions: How many AI outputs reached humans last month? How many were flagged? How many contained sensitive data? How many came from a model with zero native safety on adversarial prompts?

Without infrastructure, there is no visibility. Without visibility, there is no governance. Governance lives in a binder. The AI does whatever it wants.

0%
Native safety on Grok 4.1 against adversarial exploit prompts
74–100%
Of adversarial content reaching humans ungoverned across frontier models
95–98.3%
Detection rate with Aondor governance pipeline deployed

A four-stage, defense-in-depth pipeline

Dual-pipeline architecture with bidirectional feedback. What one layer misses, the next catches. The feedback loop recovers up to 5 additional adversarial turns per session. Combined detection rates of 76.7–98.3% across Claude Opus 4.6, GPT-5.2, and Grok 4.1. Model-agnostic. Deterministic. Auditable.

Stage 01
PatternWall
Pre-inference interception. Adversarial prompts blocked before the model processes them. 96.4% hard block rate. Deterministic pattern matching.
Stage 02
Refusal Filter
Response classification: COMPLIANT, REFUSAL, PARTIAL_REFUSAL, INFRA_ERROR. Prevents false governance signals from model-level refusals.
Stage 03
Sensus
Post-inference scoring across five weighted dimensions: Truth, Trajectory, Governance, Consistency, EQ. Multi-dimensional behavioral evaluation.
Stage 04
Audit Trail
Every decision logged with full attribution. PW_CAUGHT, SENSUS_CAUGHT, DOUBLE_MISS, CLEAN_PASS. Zero overlap between layers confirms complementary coverage. Real-time dashboard. Board-ready.

Deployed where governance is not optional

Aondor is built for any AI workflow where outputs need to be trusted, explained, or audited. We deploy across risk conditions, not just verticals.

Customer-Facing AI

Chatbots, Support, Onboarding

Any AI interaction that reaches a customer without human review. Governance ensures outputs meet brand, compliance, and accuracy standards before delivery.

Decision Support

Analysis, Recommendations, Triage

Internal AI that informs human decisions. Clinical decision support, legal analysis, financial triage — anywhere AI outputs influence action.

High-Review Environments

Legal, Clinical, Financial

Environments where every AI output may need to be explained later. Full audit trail with attribution, scoring, and tamper-evident logging.

The first AI governance visibility report your board has ever seen

API proxy deployment: route existing AI traffic through Aondor with no changes to your tools, workflows, or vendor relationships. Real-time dashboard access throughout. Compliance-ready report at conclusion.

Pilot structure and pricing are scoped to your deployment.

Includes real-time governance dashboard, compliance report with gap analysis, and full audit trail of every AI interaction during the pilot period.

Governance visibility. Board-ready reporting. Audit trail from day one.

Ready to see what your AI is doing?

If your team deploys AI in any workflow where outputs need to be trusted, explained, or audited — we should talk.

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