Deterministic methodology and high-fidelity audit traces for autonomous AI agents.
Certifying SQL Governance, Graph Path-Integrity, and Synthesis Neutrality.
The Physics of Truth. We certify information retrieval performance to eliminate hallucinations before they reach the reasoning layer.
Every change to Knowledge Base documents, LLM versions, or API tool-schemas triggers an automated audit to ensure:
Ensures the latest policy content is utilized by AI assistants the moment your source knowledge changes.
Real-time certification for the Agentic Economy. We transform raw agentic traces into deterministic forensic evidence across three governance pillars.
Oncology: 100% Identification of MRN Leaks in Clinical Trial Assistant.
Finance: Detection of 60-day Dispute Policy Hallucinations.
Reflector Velocity (Token Audit)
Instruction Persistence (Memory)
Hardware/Latency Resilience
Multi-Agent Protocol Integrity
Security: 100% Resilience to SQL Jailbreak
Orchestration: Intent Routing & Cross-Domain
Forensic Certification Milestone (Patent Pending #64/043,941):
Our SentinelCore™ engine successfully identified a Domain Bias in a multi-agent synthesis turn, preventing insurance coverage constraints from downplaying Stage 4 clinical urgency.
Sovereign Roadmap:
While our core engine is AWS-Native, SentinelCore™ is currently being expanded to Azure and Google Cloud to provide unified, cross-cloud governance for Global 2000 enterprises.
Independent certification for production Voice AI. We audit the Linguistic Physics of the call, identifying where model logic breaks under regional stress.
Our engine identifies Isolation Clusters where model logic fails under repetitive conversational stress.
Our Adversarial Red-Teaming engine specifically targets the legal risks of Generative Agents.
Automated detection of PII, PHI, and PCI leaks using high-precision regex and NER models.
HIPAA Compliance GDPR ShieldTesting across Gender, Cultural, and Algorithmic vectors to ensure equitable AI behavior.
Linguistic Bias Demographic ParityWe certify the Model Context Protocol (MCP) layer to ensure enterprise tool-stacks are "Agent-Ready." Our validator performs a 32-field PHI/PCI forensic scan identifying Semantic Ambiguity and Security Risks.
Adversarial Audit Note:
The evidence above highlights a REJECTED status for a healthcare tool. While semantically clear (96%), it failed the PHI Shielding Audit due to insufficient masking tags—demonstrating our role as a high-bar certification body.
An adversarial evaluation of conversational persistence. We certify if your agent's reasoning and tone remain indistinguishable from a human subject during multi-turn stress sessions.
Certifying turn-by-turn indistingushability under adversarial conditions.
We design and execute functional test suites where a supervising AI agent programmatically audits your production agents across scripted and unscripted scenarios, covering:
Validating decision trees and JSON trace evidence for rapid regression testing.
Today’s Forensic Stress Suites: Isolating Linguistic Bias and Logic Loops across Global Resident Personas.
Strategic Forensic Monitoring: Our supervising agents specifically probe for Loop Stress (repetition fatigue) and Context Stability (memory drift) to ensure that session-state is maintained across complex, multi-turn user journeys. Our vTov engine identifies Isolation Clusters where model logic breaks under regional accents or repetitive conversational stress.
Certifying the Business Case for AI by auditing the cost-to-performance ratio.
Reduction in Manual QA Workload
Retrieval & Grounding (The Physics of Truth)
Deterministic Parameters (ML Math)
Agentic Parameters (Strategic Reasoning)
Visual Reporting: All parameters are synthesized into our 2x2 Hybrid Dashboard featuring Quadrant Heatmaps and automated forensic evidence.
A high-fidelity evaluation of the Logic Layer. We certify how your agent handles nuanced instructions and policy edge cases.
Certifying production-ready caching via Integrity & Latency metrics.
Adversarial multi-turn logic auditing using Sequential Turn Tracking to monitor Memory Retention.
