AI Workload Governance Platform

You've deployed AI.
Now see what it's doing.

AuthBinder gives your board full visibility into every workload action, tool, and authority — so nothing runs in the dark.

AuthBinder operates entirely on metadata and telemetry — no prompt text, no payload bodies, no customer records.

Aligned with NIST workload identity standards

Built for EU AI Act compliance

ISO/IEC 42001 compatible governance infrastructure

MCP Gateway — production-ready for Claude, Copilot Studio, and AG2

The Accountability Gap

63% of organisations cannot enforce what their AI workloads are authorised to do.

AI workloads are making decisions, sending emails, accessing systems, and taking actions — on behalf of your organisation. Without governance infrastructure, you have no record of what they were authorised to do, no proof they stayed within scope, and no audit trail if something goes wrong.

That is an accountability gap. And regulators are starting to look.

63%
of organisations cannot enforce purpose limitations on deployed AI workloads
60%
cannot terminate a misbehaving workload
38%
of organisations monitor AI traffic end-to-end
64%
of $1B+ companies reported losses exceeding $1M from AI failures in 2025
The Governance Layer

Identify. Authorise. Audit.

Three pillars that close the accountability gap — without accessing your content.

Identify

Every workload has a verifiable identity. You know which workload acted.

Authorise

Every action is scoped against what the workload was authorised to do. You know it was permitted.

Audit

Every action is logged in a tamper-evident, forensic-quality trail. You can prove it to anyone.

AuthBinder operates entirely on metadata and telemetry — workload IDs, tool names, timestamps, destinations, and action types. No prompt text, no payload bodies, no customer records are stored.

Regulatory Deadline

The EU AI Act enforcement deadline is August 2026.

The EU AI Act, NIST AI RMF, and emerging sector-specific rules are converging on a single expectation: organisations must be able to demonstrate governance over their AI systems. Fines under the EU AI Act reach €35M or 7% of global turnover.

AuthBinder is designed to give you the documentation, audit evidence, and governance records you need — before you're asked for them.

How It Works

From Snapshot to Verified Assurance

Tamper-evidence and retention are automatic plumbing — a property of the platform, not a setup step.

Start a conversation

Reach out and we'll scope the right governance assessment for your environment.

Scope your assessment

We'll help you choose the right package and observation window for your workloads.

We set up your workspace

Our team provisions your tenant and provides your credentials.

Connect in minutes

Paste the JSON hook into your Claude Code settings, or pip install the SDK — no extra infrastructure.

Automatic

Your workload activity flows in

From the first event, every record is hash-chained and protected by a 6-month retention floor. Nothing to configure.

Review your findings

Review your findings and scope ongoing governance assurance when you're ready.

Automatic

Verify anytime

You — or your auditor — can run an integrity check across your full event history on demand.

Governance Packages

AI Workload Governance Packages

From a governance snapshot to a full enterprise governance programme — start a conversation to scope the right assessment for your obligations.

Governance Snapshot

Automated governance report

48-hour observation window
  • Workload and tool inventory
  • Top 3 risk findings
  • Unapproved action detection
  • External service exposure
  • Risk level summary
Most Popular

Governance Assurance Report

Analyst-signed assurance report

14-day observation period
  • Full tool call timeline with risk scoring
  • Data movement sequence detection
  • Unapproved & high-frequency action detection
  • External API and service exposure
  • Written Assurance Report for governance use

Enterprise Governance Programme

Ongoing governance engagement

Custom observation window
  • Everything in Assurance Report
  • Unlimited agents — no seat cap
  • Cryptographic authority binding
  • Multi-workspace consolidation
  • Custom threat modelling
  • Compliance roadmap alignment
  • Quarterly reviews & re-audits

Authority for Every Workload

Procurement

Bind spend limits, approved vendors, and policy rules to procurement workloads so every purchase is explicitly authorised before execution.

Autonomous Trading

Enforce capital thresholds, instrument scope, and time-bound mandates to prevent trading workloads from exceeding delegated authority.

DevOps Workloads

Ensure automation workloads can only modify systems within approved change windows, environments, and privilege boundaries.

Third Party Workload

Control what external or marketplace workloads are allowed to do within your ecosystem, with revocable, verifiable authority per action.

EU AI Act

Built for the EU AI Act's record-keeping obligations

Automatic, timestamped, tamper-evident event logging with a 6-month minimum retention — the evidence base Article 12 asks for.

Automatic, timestamped logging
Tamper-evident hash-chained records
6-month minimum retention
Governance & Compliance

Built for
Governance Frameworks

AuthBinder's governance infrastructure aligns with NIST workload identity standards, the EU AI Act, and ISO/IEC 42001 — giving you the documentation, audit evidence, and governance records regulators expect.

Verifiable workload identity
Every workload has a cryptographically-bound identity — you always know which workload acted.
Scoped authority records
Every action is validated against what the workload was authorised to do — per transaction, not per session.
Tamper-evident audit trails
Every action is logged in a forensic-quality trail that cannot be altered or deleted.
EU AI Act alignment
Documentation and audit evidence built for the August 2026 enforcement deadline.
ISO/IEC 42001 compatible
Governance infrastructure designed for AI management system compliance.

GuardRails vs Authority Binding

GuardRails shape what AI should do
AuthBinder controls what AI is allowed to do
Dimension
GuardRails
AuthBinder
Primary FunctionGuides AI behaviourEnforces execution authority
Control LayerPrompt / output levelTransaction / execution level
Type of ControlAdvisory / behavioralDeterministic / enforceable
Authority ModelStatic roles & permissionsExplicit, delegated, scoped credentials
GranularitySession or role-basedPer-workload, per-transaction
RevocationDisable account or API keyImmediate credential revocation
AuditabilityBehaviour logsVerifiable authority lineage
Failure OutcomeWorkload may misbehaveUnauthorized action is blocked

Govern Your AI Workloads.
Before the Regulator Asks.

Start a conversation and we'll scope the right governance assessment for your AI workloads.

We respond within 1 business day. No commitment required.

About Us

About AuthBinder

AuthBinder gives organisations the identity, authority records, and audit trails they need to govern their AI workloads — so when a regulator, auditor, or board asks what your workloads did and who authorised it, you have the answer.

As organisations deploy AI workloads to access systems, move data, approve decisions, and execute workflows, the gap between intelligence and control is widening. We believe autonomous systems must be governed with the same rigour as human privilege.

AuthBinder binds identity, scope, and policy to every workload action — ensuring execution is explicitly authorised, auditable, and within defined boundaries. Built on deep expertise across digital identity, cryptographic trust, and enterprise governance, the platform applies principles such as least-privilege access, zero trust, runtime policy enforcement, ephemeral credentials, and action-level auditability to autonomous workloads.

Alongside the platform, AuthBinder provides governance assessments to help organisations understand how workloads interact with systems, data, and external tools — identifying gaps in authority, permissions, runtime controls, and governance records.

As software evolves from responding to instructions to acting autonomously on behalf of organisations, authority can no longer be assumed. It must be governed, recorded, and provable.