A production incident doesn't belong to one actor. AccessBind connects privileged activity by people, automation and AI agents to the work it belongs to — enforcing task-scoped authorization and reconciling what actually ran against what was approved.
In validation testing — onboarding a small number of enterprise design partners.
At 2 AM, an alert fires. Within the hour, five pieces of privileged work happen — by three different kinds of actor.
Different tools. Different credentials. Traditional access controls govern these activities separately, which often leaves organizations with fragmented authorization and audit evidence. Yet the operational question is the same for every one of them:
Was each action authorized for this work — and did the execution match what was approved?
AI governance is usually written as policy and inventory. Both matter — but neither can stop an action once a person, a script or an agent is able to take it. These two rules can.
Authority comes from one approved piece of work — this change or incident, these systems, these operations, until this time. Not from a standing role, and never from a stored password. When the work ends, the authority ends.
Answers: what may it do?
The limits are enforced outside the actor — outside the model, outside the script, outside anyone's good intentions. Every action is then checked against independent evidence: the target system's own audit records, not the actor's account of what it did.
Answers: how do we know it only did that?
The same two rules apply to the engineer, the pipeline and the AI agent. That is what makes this governance of the work — and why AccessBind is not another AI-agent-only tool. How it maps to AI governance frameworks →
Because every actor's access is issued against the same approved incident, its activity lands in one place — attributed to the actor that performed it, and judged against the scope that was approved.
# Show me everything for INC-4821 — disk latency on orders-db # Approved scope: diagnose, restart, verify · orders-db, orders-api · 02:00–04:00 02:04 AI assistant (for Alice) PostgreSQL SELECT * FROM pg_stat_activity in scope ✓ 02:11 Alice (engineer) PostgreSQL VACUUM ANALYZE orders_archive in scope ✓ 02:19 deploy-pipeline Kubernetes kubectl rollout restart deploy/orders-api in scope ✓ 02:26 verify-agent PostgreSQL DROP INDEX idx_orders_tmp refused — not in INC-4821 02:27 verify-agent PostgreSQL SELECT 1 /* health check */ in scope ✓ Credentials held by any actor none — brokered by AccessBind Authority INC-4821 · ended 04:00 ✓
Illustrative output. Enforcement for a person, a script and an AI agent is shown in our recordings on real systems; reconciliation across all audit sources is still being validated.
Not the engineer, not the script, not the AI agent. AccessBind performs the strongest login each environment supports on their behalf — so there is nothing in a prompt, a pipeline variable or a laptop to leak or reuse.
Always the strongest authentication your environment supports.
🔒 The certificate, password, or token is never shared with the actor.
AccessBind brokers the login. The actor gets a scoped session — never the certificate, password, or token.
Identity stays yours.
Authorization stays yours.
Authentication stays native.
AccessBind orchestrates.
Not another identity provider, vault, or ticketing system. The control plane that orchestrates what you already run — with no re-architecture. "Do I replace CyberArk?" No.
Person, pipeline or AI agent — whatever login the environment calls for — every privileged session carries the same guarantees.
One platform across on-prem and cloud. AccessBind speaks each system's native protocol and authenticates the strongest way that system allows — never a lowest-common-denominator abstraction.
For the architects: the mechanisms AccessBind orchestrates. You never lead with any one of them — the environment does.
ADCS or local PKI issues a short-lived cert; PKINIT obtains a Kerberos TGT. No password ever exists.
Constrained delegation to authenticate as the real principal — without ever holding the user's secret.
Workload-identity federation to Entra, AWS, and GCP. Short-lived tokens, no standing secret.
Where cert and federation aren't possible: a brokered, rotated password — generated, injected, never shown.
Provision an identity at session start, remove it at the end. Nothing standing to inherit or replay.
Every RDP, SSH, kubectl, and database session flows through the proxy. Full capture, auditor-ready.
Zoom into one surface — a privileged, AD-joined RDP session. The same change that authorized the work drives a cert-based login with no vault, no static password, and no standing user:
# One connection, orchestrated end to end ▸ JIT AD user provisioned → ADCS issues short-lived certificate ▸ PKINIT obtains Kerberos TGT → no password ever exists ▸ RDP session via AccessBind proxy → cert-based authentication ▸ Full session recording → keystroke + screen + metadata ▸ JIT user removed on session end ✓ zero residual identity
Engineers connect through the Web UI, the AccessBind CLI, or a session ticket in the native client they already use. Scripts and pipelines use the same tickets. AI agents connect over MCP. Same scope. Same proxy. Same audit.
Browser-based RDP, SSH, or SQL. Zero install. Fully recorded.
ab connect <asset> opens a session in the operator's terminal.
Download a short-lived ticket. Connect with PuTTY, mstsc, SSMS, Toad, DBeaver, pgAdmin, kubectl — through the proxy, fully audited.