The mandatory execution pathway for enterprise AI systems.

Your enterprise runs IAM to authorise human access. Xybern is the IAM layer for AI. Every action your AI systems attempt is intercepted, verified, and either authorised or blocked, before it executes. Not a monitor. Not middleware. The enforcement layer itself.

Any model. Any agent. Any framework. No exceptions.

Critical Failures · None Undetected
0 Reached Production

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

Not monitoring. Not orchestration. The enforcement layer.

Most enterprise AI tools either help you build AI or watch what it did. Xybern is the system that decides what it's allowed to do, before it runs.

Monitoring Tools
Langfuse · Arize · Helicone

Observe AI after the fact. Logs, traces, metrics. Tells you what happened. Reactive by design. Useful for debugging. Cannot stop an action that already executed.

The rear-view mirror.
Orchestration Frameworks
LangChain · CrewAI · AutoGen

Help you build AI pipelines. Define how agents run and connect. Have no authority over what those pipelines are allowed to do at runtime. Xybern enforces the rules they must follow.

The engine.
Xybern
The enforcement layer

Sits in the mandatory execution path. Every AI action must pass through before it runs. Authorises or blocks, deterministically, every time. Framework-agnostic. Cannot be bypassed.

The mandatory checkpoint.

Monitoring tells you a wire transfer happened. Xybern stopped it before it did.

Your AI is already acting. Is anything deciding if it should?

Models generate outputs. Agents trigger workflows. Autonomous systems initiate transfers, query databases, and export records. In most enterprises, none of this passes through any enforcement layer before it executes.

Without enforcement
  • Agent triggers wire transfer executes immediately no authority check ever ran
  • Agent queries production database exports 50,000 customer records no authority boundary was ever checked
  • Regulator requests audit trail nothing maps AI actions to policy exposure
  • System flags anomaly damage already in production remediation begins too late
With Xybern
  • Agent triggers action intercepted by Xybern authority verified before execution
  • Agent queries database scope verified against authority boundary read permitted, bulk export blocked
  • Policy rule invoked mapped to action in the ledger audit-ready instantly
  • Action exceeds limit blocked at the enforcement layer never reaches production

Xybern is not a monitor you check after something goes wrong.
It is the system that decides whether AI actions are allowed to run in the first place.

The execution pathway

5 stages. None optional. No bypass.

Every AI action in your organisation is forced through all 5 stages. This is not middleware. This is not an SDK you wrap around your models. This is the enforcement layer, deployed above every LLM, agent, and framework you run.

If it doesn't pass, it doesn't run.

Execution pathway · every AI action · no exceptions
Your AI systems
LLMs
AI Agents
Copilots
Workflows
every action
Xybern · Mandatory Execution Pathway
01
Intercept
Action captured before execution
Enforced
02
Identify
Agent identity cryptographically verified
Enforced
03
Evaluate
Context analysed against policy engine
Enforced
04
Decide
Authorise or block — deterministic verdict
Enforced
05
Record
Immutable entry anchored in Provenance Vault
Enforced
All 5 stages · no bypass · no exceptions
if authorised
Authorised actions
Fund Transfers
Transactions
DB Updates
Workflows

The enforcement record

Every enforcement decision. On record.

This isn't an observability dashboard. It's the enforcement record. Every entry represents a decision Xybern made before an AI action was allowed to execute — what was authorised, what was blocked, which agent triggered it, and the cryptographic audit trail behind every verdict.

  • Real-time enforcement feed
  • Trust scores & policy outcomes
  • Merkle-verified audit exports
Xybern enforcement dashboard
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 enforcement decision, with Merkle proof verification and execution evidence exports.

When a regulator asks what your AI did, and under the EU AI Act, the SEC's evolving guidance, and enterprise audit requirements, they will, the Provenance Vault is your answer. Cryptographically verified. Tamper-evident. Audit-ready.

SHA-256 Hash Chains HMAC Signatures Merkle Proofs
View the Ledger
Immutable Evidence
AI execution provenance vault
Immutable · tamper-evident
Verification ID
Action · Agent
Trust
Decision
vr_a7f3c2e1
Database query — customer records
crm-agent-v2 · Read operation
94
Authorised
vr_b2e14a9f
Bulk data export attempt
crm-agent-v2 · Exceeds authority boundary
41
Blocked
vr_c9d4f18b
Outbound email — client notification
comms-agent-v1 · SM&CR policy verified
79
Authorised
vr_e4f93d7a
Transaction initiation — wire transfer
finance-agent-v1 · Exceeds transaction limit
38
Blocked
a7f3c2e1...
b2e14a9f...
c9d4f18b...
e4f93d7a...
···
SHA-256 · HMAC · Merkle

Two ways to deploy. One enforcement standard.

Same pipeline. Same enforcement. Different integration pattern.

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 enforcement rules
  • Anchors every output in immutable ledger

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

Centralised

For Enterprises

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

Xybern deploys above your existing AI stack. Nothing gets ripped out. No model replacements. One endpoint, full enforcement.

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

No AI system operates without runtime enforcement.

Built for regulated environments

Enforcement that understands

your industry's obligations.

The same mandatory execution pathway. Pre-configured enforcement logic for the regulatory context that governs your AI deployments.

Financial Services

UK · EU · MENA

Wire transfers, trading decisions, client communications and ledger entries, every AI action verified against SM&CR accountability boundaries and FCA policy rules before it executes.

SM&CR FCA MiFID II DORA
Enforces: Transaction limits · Authority boundaries · Jurisdiction rules

Legal Services

UK · EU

Document execution, contract actions and client communications intercepted and verified against SRA supervision obligations and client privilege boundaries before any action reaches production.

SRA Client privilege EU AI Act UK DPA
Enforces: Privilege boundaries · Supervision rules · Client data scope

Cybersecurity

Enterprise

AI agents making threat assessments, access decisions and incident response calls, every autonomous security action enforced against defined authority boundaries before execution, with an immutable audit trail.

SOC 2 Zero trust NIST ISO 27001
Enforces: Access boundaries · Incident response scope · Threat action limits

Who buys this first

The regulatory clock

is already running.

Regulated enterprises deploying AI agents don't have the luxury of waiting. Regulators are already asking how you control what your AI does. Xybern is the answer.

The buyer

Compliance leads and CISOs at regulated enterprises

Financial services firms, legal practices and enterprise security teams deploying AI agents who need to demonstrate to their regulator that every AI action is authorised, bounded and recorded. SM&CR-regulated firms. FCA-supervised businesses. SRA-regulated practices.

Why now

Regulatory deadlines are creating urgency

The EU AI Act is live and enforcement has begun. FCA model risk management guidance is tightening. SM&CR accountability obligations now extend to AI-driven decisions. Regulators are not waiting, they are already asking "how do you control what your AI agents do?" Firms that cannot answer are exposed now, not in the future.

The motion

One workflow. Two weeks. Full enforcement.

Start with the highest-risk AI workflow in your organisation, the one where an uncontrolled AI action would cause the most damage. One API endpoint change. First enforced action in under a week. That workflow becomes the template for your entire AI estate.

Deployment path — from pilot to full enforcement

Day 1

One endpoint change

Point your highest-risk AI workflow at Xybern. First enforced action in under an hour.

Day 2–3

Policy configuration

Define authority boundaries, trust thresholds and policy rules for that workflow.

Day 4–5

Full pilot live

Every action in the pilot workflow enforced, recorded and audit-ready. Under one week from first call.

Month 2+

Estate expansion

Same pipeline applied to every other AI workflow. No new infrastructure. No rearchitecting.

One workflow. Under one week. That becomes the template for your entire AI estate.

Ready to enforce

your AI systems?

We work directly with your team to deploy Xybern into one workflow in under a week. No lengthy procurement. No infrastructure rebuild. One endpoint.

Request a pilot