Trusted AI agent workflows

Prove your
AI agent’s identity, and their authority

Agent Gateway gives your AI agents verifiable identities and cryptographic audit trails, so accountability travels with them across platforms, clouds, and organisations.

Read The 2026 Trend Report Request A Demo
Agent Gateway emblem with orbiting Trust Fabric products
The gap

Can you account for the AI agents running in your system?

Most teams rely on tools that were built for traditional applications, and then adapted for autonomous AI agents after. Four critical gaps emerged as AI agents move into production:

  • No clear accountability

    No verifiable record of which AI agent acted, or who authorised it

  • Credential sprawl

    Every AI agent holds its own keys, with no single point of control or rotation

  • No scalable governance

    Policy is hard-coded into each AI agent, so it cannot adapt or keep pace as your AI agent ecosystem grows

  • Trust stops at platform edge

    An AI agent cannot be verified beyond their platforms, which blocks secure work across organisations

Which AI agent acted, on whose authority, using which credentials, and under which policy?
If you cannot answer this clearly, Agent Gateway closes this gap.

Read The 2026 Trend Report
The answer

One control point for your AI agents, across every boundary

Agent Gateway is the agent governance solution that sits between your AI agents and everything they reach: other agents, MCP servers, tools, and the legacy systems they depend on.

AI agents converging through Agent Gateway into governed, ordered flows

  • Accountability with audit trails

    Prove which AI agent acted, on whose authority, and with which credentials, with tamper-evident cryptographic audit trails

  • Governance at runtime

    AI agents’ actions are reviewed and monitored at the moment of action

  • Cross-boundary trust

    Platform-and-cloud agnostic solution reduces lock-in that enables trust to travel across platforms, clouds, and organisations

  • Modernisation without rebuild

    A drop-in proxy to speed up AI agent-readiness without re-platforming, with no-code change

See it work

What Agent Gateway does, and what you get

Visual agent surface designer

Design trust visually, no code

Configure agent surfaces, access points, and identity bindings on a no-code canvas, with protocol variants like MCP and A2A

Visual agent surface designer interface

Contextual guidance

Know what every setting does, as you set it

Plain-language guidance at the point of configuration, from identity injection to publish-to-registry controls

Contextual guidance interface

Flexible templating

Start from proven governance patterns

Pre-built templates for identity binding, caller-context policy, credential delegation, trust-registry verification, and x402 payment walls

Flexible templating interface

Observability and monitoring

See everything your agents do, live

A real-time dashboard of identities, connections, latency, active pipes, cost, and rule accepts or denies

Observability and monitoring interface

Agent identity management

Every agent, verified and accounted for

Central management of every AI agent identity (DID), with trust score, attestation, usage, and the full DID document

Agent identity management interface

User and agent workload binding

A tamper-evident audit trail, built in

Every credential-delegation event logged: consent, tokens issued or revoked, and verifiable presentations injected on behalf of the AI agent

User and agent workload binding interface
Works with what you already run:
  • LangGraph
  • CrewAI
  • AutoGen
  • LlamaIndex
  • MCP
  • A2A
  • OpenAI
  • Anthropic
  • Gemini
  • Bedrock
Request A Demo
How it works

Trusted AI agents in five steps, with no rebuild

  1. 01

    Drop in the proxy

    A protocol-aware proxy sits between your AI agent and its destination, with no code change

  2. 02

    Identity at runtime

    Every AI Agent gets a verifiable identity from the first interaction with Gateway

  3. 03

    Set policy once

    Define identity, access, and guardrails once, in one place, for the agents that route through the Gateway

  4. 04

    Apply policy at runtime

    The Gateway binds identity, injects credentials, and enforces guardrails at the moment each agent acts

  5. 05

    Monitor and audit

    Watch every interaction live, in a tamper-evident, cryptographically verifiable record of who did what

Every agentic flow answers four questions:

  • When

    Is this action allowed right now, given session state, rate limits and business hours?

  • Who

    Which operator, agent or partner is calling, and what verified credentials do they hold?

  • What

    Which tool, dataset or service is being accessed, and with what payload and scope?

  • Why

    Is the business purpose declared, logged and consistent with policy and consent?

Connect your first trusted AI agent with no code change.

What makes us different

Trust that travels

Most AI agent governance stop at the edge of one’s platform or cloud, with identities locked to the issuer. Agent Gateway gives each AI agent a portable, decentralised, and verifiable identity. Built on open standards and not bound to a single platform, so its authority travels across frameworks, systems, and boundaries.

  • Identity travels with every interaction

    An AI agent’s identity is designed at runtime and stays recognisable, creating continuity across platforms, and organisational boundaries

  • Authority travels with every delegation

    Visibility into who initiated and delegated an approved action to an AI agent, and under what scope it was allowed to operate, is preserved

  • Trust travels across boundaries

    The cross-boundary capabilities of verifiable identity, delegated authority, and agent governance benefits and further strengthen ecosystems with confidence and trust

Proof: case study

Live in production, handling real agentic payments

Ajentik Healthtech / trusted AI in healthcare

Ajentik is a Singapore-based healthtech company focused on helping ageing populations live safely and confidently at home. Its flagship solution, Elderwise, transforms caregiver observations into structured, clinically meaningful summaries that healthcare professionals can review and act upon.

As Elderwise creates structured assessments for professional review, Affinidi Trust Fabric provides the trust layer that governs how data is exchanged with healthcare systems. Each assessment is cryptographically signed and verified, enabling hospitals to verify the originating agent, confirm data integrity, and safely incorporate accountable AI-generated insights into operational workflows.

Read The Case Study
Affinidi Trust Fabric signing and verifying Elderwise’s assessments between Ajentik’s agent and hospital systems
CardInfoLink Fintech / agentic commerce

A Sequoia-backed payments operator serving banks and merchants across more than 20 countries. Its agent powered Mastercard Agent Pay’s first live transactions in Singapore, Hong Kong, and South Korea.

CardInfoLink’s payment agent, Agenzo, needed an identity that merchants and banks would trust. Agent Gateway gives each agent a verifiable identity and a traceable record of every payment, and turns any merchant’s existing API agent-ready with no code changes. Live with CardInfoLink’s customers today.

Read The Case Study
Agent Gateway securing CardInfoLink’s payment agent across a global network
  1. 01 Produce trusted AI agents
  2. 02 One trust layer instead of bespoke integrations
  3. 03 Audit trail for auditors and regulators
  4. 04 Agent governance without rebuild

Trusted ecosystem partners

  • Pioneering Trust Architecture

    The Linux Foundation
    Protect most important open-source IP

  • Building an Ecosystem of Trust

    CardInfoLinkCertizen TechnologyAarogyaTechAvvanzRMIeeCheck
    Build trust for your products and services

  • Establishing Global Interoperability

    Decentralized Identity FoundationW3CLF Decentralized Trust
    Active contributor for global standards

Built for AI agents, not retrofitted for them

Conventional approach hyperscaler IAM / general API gateway Agent Gateway
Identity Issued by the platform and valid only inside it, the AI agent’s identity does not travel with it A portable, decentralised identifier (W3C DID) the agent carries across frameworks, clouds, and organisations
Design intent (Built for) APIs and human users, with AI agents fitted on afterwards Agents from the ground up, including how they delegate, act, and are held to account
Accountability Logs the API key or service account, not the person behind the action Binds every action to the human or process that authorised it, and the scope they allowed
Cross-org Trust Stops at the company boundary. A partner cannot verify your AI agent without your platform A counterparty can verify your agent’s identity and authority across clouds, platforms, and organisations
Lock-in Governance tied to one vendor’s platform One governance layer across every model, cloud, and framework. No vendor lock-in
Who it is for

Find your starting point

Agent Gateway meets you where you are. Find the profile closest to yours and see what it unlocks.

  • Teams deploying an agentic workforce

    You are putting AI agents to work inside your own company

    Give every internal agent a verifiable identity, prove to audit and risk who acted and on whose authority, and roll governance out once instead of rebuilding it for every team and tool

  • Enterprises scaling agents

    You are deploying agents across many systems and teams (for digital leaders, Chief AI Officers, and CISOs)

    Govern AI agents independently of any single platform, cut vendor lock-in, and let trust travel across departments and organisations through Gateway-to-Gateway federation

  • Regulated and data-sensitive start-ups

    You operate where compliance and audit are non-negotiable, such as in fintech, healthcare etc

    Clear the highest compliance bar with cryptographically verifiable audit trails and safely deploy AI agents handling sensitive data

  • Enterprise system integrators

    You build large, multi-vendor agent transformations for enterprise clients

    Add a programmable trust layer that complements your own platform, scale cross-org trust without changing agent code, and strengthen your offer for regulated clients

  • Ecosystem builders

    You run a multi-party network in which AI agents must collaborate across companies

    Onboard partners in moments, give each partner governance it owns, and turn a legacy ecosystem agentic through an MCP proxy

  • SaaS builders adding agents

    You are adding AI agents to your product, and they need customer data

    Win end-customer buy-in with an immutable audit trail, and replace bespoke integrations with platform-agnostic trust

  • Agent builders for SMEs

    You build custom AI agents for SME clients

    Ship past the trust-and-safety blocker that stalls launches, resell governance as a single pane of glass, and unlock higher-value use cases

Trust & compliance

Enterprise-grade security

Certified and compliant with global standards for security, privacy, and data protection

  • ISO 27001

    Information security

    Certified management system for information security

  • GDPR

    Data protection

    Compliant with EU General Data Protection Regulation

  • PDPA

    Privacy

    Singapore Personal Data Protection Act compliant

2026 Market Trend Report
2026 market trend report cover illustration

Trust has to travel

Why agent identity has to cross platforms, clouds, and organisations, and what breaks when it does not. The 2026 outlook for teams putting AI agents into production

Read The 2026 Trend Report
Common questions

Common questions

What standards is it built on?

Open ones. W3C decentralised identifiers and verifiable credentials, DIDComm, and native support for MCP, A2A, AP2, and UCP, on an open-source core.

Will it lock me in?

No. The identity your AI agents carry is portable and owned by you, and the Gateway runs in your environment.

How fast can we be up and running?

Connect your first trusted AI agent in an afternoon, not in months.

What does the consultation cover?

A call with our team to learn more, a live demo, a look at your AI agent estate (optional), and explore what a trusted deployment looks like in your environment.

Can we run a proof of concept first, and how long does one take?

Yes. Most customers start with a proof of concept to validate Agent Gateway against a real business workflow before broader rollout. We work with you to define clear success criteria and focus on proving governance, identity, and operational value in a production-relevant scenario.

Can our partners or customers verify our agents without adopting Agent Gateway themselves?

Yes. Agent Gateway is built on open standards, including Decentralized Identifiers (DIDs) and Verifiable Credentials, allowing partners and customers to independently verify agent identities and trust assertions without deploying Agent Gateway themselves.

If the other party is also using Agent Gateway, verification becomes seamless. The Gateways can securely exchange identity, trust, and policy information through the Affinidi Fabric protocol, enabling trusted interactions across organizational boundaries with minimal integration effort.

What happens to our audit trail and our agent identities if we stop using Agent Gateway?

Agent identities are designed to be durable and portable, not tied to a proprietary platform. Your agents retain their identity and trust foundations beyond the Gateway itself.

Likewise, auditability and evidence generation are core design principles, helping ensure governance and compliance records remain under your control.

Does it work with our existing identity provider and IAM?

Yes. Agent Gateway is designed to complement your existing IAM investments and supports standard identity technologies such as OIDC and JWT-based authentication flows.

It adds agent identity, delegation chains, policy enforcement, and cross-boundary trust capabilities on top of your existing identity infrastructure.

How is Agent Gateway priced?

Agent Gateway offers free tiers for evaluation and development, alongside commercial plans for production use. Pricing scales with operational requirements, support needs, and the capabilities your organization requires.

This allows teams to start small and expand as adoption, governance, and business needs grow.

Contact us

Connect with us to get started

Request a demo, or explore our resources (2026 trend report, white paper, case studies) to learn more. Connect with us today.

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