xybern-reasoning-v1

The Control Plane for Enterprise AI

Every model. Every agent. Every output. Logged, verified, enforced, and cryptographically anchored.

Powered by our proprietary verification model.

Critical Failures
0 Undetected

Backed by Leading Programs

NVIDIA NVIDIA Inception
AWS for Startups
NVIDIA NVIDIA Inception
AWS for Startups

Our Partners

NVIDIA
Member of NVIDIA Inception
Part of AWS for Startups
Live

Xybern Network Activity

0

Verifications Completed

0

Governance Rules Triggered

0

Compliance Checks Executed

0

Undetected Critical Failures

0

Immutable Ledger Entries

AI has no native
governance layer.

  • Foundation Models Generate outputs with zero verification.
  • Applications Deploy AI with no enforcement layer.
  • Agents Execute autonomously without oversight.
None of these include native verification or enforcement. Xybern introduces a governance layer that sits above all of them.
Input Layer
GPT-4 Claude Gemini Llama Internal LLMs LangChain CrewAI
Xybern Control Layer
Verification Governance Bias Detection Regulatory
Output
Trust Score + Governance Engine
Immutable Record
Provenance Vault

AI Without Verification Is Operational Risk

AI systems are already embedded in production workflows. Without verification, there is no deterministic audit, no enforcement layer, and no centralised oversight.

Foundation models
generate.

Applications
deploy.

Agents
execute.

Xybern
governs.

Universal AI Coverage

One control plane. Every AI modality.

LLM Verification

Intercept any foundation model output. Decompose into claims. Verify against evidence. Score deterministically.

GPT-4 Claude Gemini Llama Mistral Cohere Internal

Agent Governance

Trace every agent decision. Validate reasoning chains. Audit step-by-step execution. Flag autonomous risk.

LangChain CrewAI AutoGPT Custom

Multi-Modal Processing

Extract, transcribe, and verify content from documents, images, and audio. 12+ file formats supported.

PDF Images Audio OCR Whisper

Xybern Evolution

Q1 2025
Deterministic Verification Core
Q2 2025
Provenance Vault v1 (Hash Chaining)
Q3 2025
Multi-Model Interception Layer
Q4 2025
Governance Enforcement Engine
Q1 2026
Multi-Jurisdiction Regulatory Intelligence
Now
AI Control Plane
What's Next
Phase 8
Hallucination Detection
Phase 9
PII/PHI Auto-Redaction
Phase 10
Prompt Injection Security

Complete AI Execution Traceability

For every AI interaction:

Structured verification object
Claim-to-evidence mapping
Jurisdiction classification
Risk severity score
Governance decision
Immutable verification ID
Bias & fairness assessment
Regulatory compliance status

Nothing disappears.

Nothing mutates silently.

Nothing operates without record.

// Verification Response
{
"verification_id": "vr_8f3a...",
"trust_score": 87,
"claims_verified": "4/5",
"bias_status": "fair",
"regulatory_flags": 0,
"jurisdiction": "EU",
"immutable": true
}
Core Technology

The Provenance Vault

Every AI output is decomposed into claims, verified against evidence, scored deterministically, and anchored in a SHA-256 cryptographic hash chain with HMAC-SHA256 signatures. The Vault is the immutable record of every governance decision, with Merkle proof verification and compliance-ready exports.

SHA-256 Hash Chains HMAC Signatures Merkle Proofs
View the Ledger
Immutable Evidence
Immutable data ledger visualization

Operating Models

Two deployment patterns. One governance standard.

Embedded

For Platform Providers

Xybern integrates directly into your AI product stack. It sits between your model outputs and your end users.

  • Intercepts every model output before delivery
  • Decomposes outputs into structured claims
  • Generates deterministic trust scores
  • Evaluates against governance rules
  • Anchors every output in immutable ledger

Xybern becomes the enforcement and audit layer within your AI platform.

Centralised

For Enterprises

Xybern deploys as an infrastructure layer above all AI systems. It does not replace models. It governs them.

Monitors
  • Internal LLMs
  • Employee AI tools
  • Agent workflows
  • Customer-facing AI
Enforces
  • Trust score thresholds
  • Regulatory compliance
  • Jurisdiction rules
  • Evidence requirements

No AI output operates without traceability.

Ready to govern your AI?

Get Started