Semantic Integrity Verification
AUDIT YOUR AI
Before It Audits Itself
Independent verification of AI systems for semantic drift, hallucination risk, and governance compliance. We measure what others assume. We verify what others trust. Because unaudited AI is unaccountable AI.
Risk Classification
What We Measure
Every AI system carries risk. The question isn't whether drift exists—it's whether you can see it. Our audits expose the invisible failure modes that traditional testing misses.
Semantic Drift
Meaning changes silently over time. Concepts shift. Definitions evolve. Without drift tracking, your AI's "understanding" today may contradict tomorrow's outputs.
Hallucination Vectors
Where does confident fiction masquerade as fact? We map the conditions that trigger false certainty—before your users encounter them.
Governance Gaps
Policies that can be bypassed aren't policies—they're suggestions. We audit enforcement mechanisms, not just documentation.
Identity Continuity
Does your AI maintain consistent behavior across contexts? Or does it become something else when prompted differently? We test the boundaries.
Lineage Integrity
Can you trace every output to its source? Audit trails that break under scrutiny provide false assurance. We verify the chain.
Constitutional Adherence
Are your AI's constraints architectural or aspirational? We test whether guardrails hold under adversarial conditions.
Methodology
The Audit Protocol
A systematic examination of your AI's semantic foundations, behavioral consistency, and governance integrity.
Semantic Baseline
We establish the ground truth. What does your AI actually mean when it uses key terms? We create a semantic fingerprint that becomes the reference for all subsequent measurements.
Drift Detection
Temporal analysis across interaction patterns. We measure how meanings shift under load, across contexts, and over time. Drift rates are quantified in M-units.
Adversarial Probing
We test your guardrails. Not with obvious attacks, but with the subtle prompt engineering that finds the cracks. Constitutional constraints are verified under pressure.
Certification Report
A comprehensive assessment with risk ratings, remediation paths, and—for qualifying systems—official AGI Auditor™ certification of semantic integrity.
The Standard
Beyond Compliance
We can audit any AI system. We can measure any drift. But there is only one standard that guarantees semantic integrity at the architectural level.
AGI Auditor™ verifies systems against the MAAS™ (Meaning as a Standard) framework—the only architecture where semantic drift is mathematically prevented, not just detected. Audit reveals the gaps. MAAS™ closes them.
Certification Levels
Verified Status
Semantic Baseline Verified
System demonstrates measurable semantic consistency within defined operational parameters. Drift rates within acceptable thresholds for task-specific applications.
Constitutional Integrity Verified
System maintains identity continuity and governance compliance under adversarial conditions. Qualified for autonomous decision support within bounded domains.
MAAS Compliant™
Full semantic infrastructure implementation. Drift-proof architecture. Constitutional enforcement at the computational level. Ready for unbounded deployment.