ActaMeshAI is one place to register agents, expose approved tools, enforce policy, capture audit evidence, and attribute cost — for agents built anywhere, on any framework, with any model underneath.
Every agent registered. Every tool governed. Every action evidenced. Every dollar attributed.
Teams are shipping AI agents on every framework at once — each with its own credentials, no audit trail, no cost attribution, and no approval flow. The providers commoditize models and runtimes, but nobody can sell the enterprise its own governance. That missing layer is the product.
The governance, integration, and audit boundary that sits above model infrastructure — so you can adopt agents aggressively without giving up control.
Every agent named, owned, risk-tiered, and lifecycle-managed. Agent sprawl becomes a governed inventory.
The agent firewall: no agent holds raw credentials. Approvals, dry-run previews, and rollback on risky actions.
One decision point, many enforcement points. Versioned, testable policies with RBAC and ABAC — fail-closed by design.
Tamper-evident per-run evidence, exportable as packs mapped to the EU AI Act, ISO/IEC 42001, and NIST AI RMF.
Human-in-the-loop gates on write and irreversible actions — with previews that show what would happen before it does.
Dual-control, time-boxed emergency access — the loudest event in the evidence store. Incidents without anarchy.
Short-lived, per-tool secrets brokered at the boundary, with delegated user authority. Agents never see long-lived keys.
Model-neutral routing with per-tenant cost attribution and quotas — every token traced to an agent, a team, a purpose.
One policy decision point, many enforcement points: every gateway enforces the same versioned policy, and every decision lands in the evidence store stamped with the exact policy version that made it.
Existing agents keep their frameworks and their code. They enroll — they don't migrate.
The enforcement boundary. Prompts, payloads, and evidence never leave your network.
Where governance is administered: the registry, policy authoring, approval routing, dashboards, and compliance exports.
Gateways and hyperscalers govern only their own stack. ActaMeshAI governs heterogeneous agents through explicit coverage classes — so “governed” always means something specific, and deepens over time.
Enroll an existing agent via SDK shim or proxy. Registered, inventoried, and reporting evidence — with zero code rewrites.
Tool and model calls route through the gateways: policy checks, approvals, scoped credentials, and full audit on every action.
The data plane lands in your VPC with egress lockdown: the gateways become the only path out. Bypass is a network impossibility, not a policy request.
Honest labeling, by design. Every evidence pack names the coverage class it was captured under — so your auditors, and your security team, know exactly what “governed” meant for each agent at the time of each action.
EU AI Act high-risk obligations land in August 2026. ISO/IEC 42001 and NIST AI RMF give compliance officers a framework to spend against — and record-keeping and traceability obligations are precisely what an evidence store produces.
Capability first, control plane second: the same pattern that created the CASB, SIEM, and API-gateway markets is repeating with agents — at enterprise speed this time.
Providers now sell the model, the harness, and the sandbox. The governance layer is the one part they structurally can't own for each other — it has to be neutral. That's the product.
Every run terminates its evidence chain — complete, denied, or failed. No dangling starts. No unanswerable holes in the audit trail.
Every policy decision is stamped with the exact policy version that made it, and evidence delivers to your SIEM. So when an auditor asks “show me the rule, the version, and the inputs behind this action” — the answer is one query, not one week.
run_start { user: "alice" } policy_decision { tool: "jira_create_issue", allow: true, policy_version: "1.0.0" } approval { approver: "bob", decision: "approved" } tool_call { risk_class: "write" } tool_result { is_error: false } run_complete { total_ms: 1840, cost_attributed: true }
ActaMeshAI is onboarding early-access users and design partners now. Join the waitlist and we'll reach out as capacity opens.
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Running agents in production already? Talk to us about a design partnership.