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Runtime Execution Control

ARIA Competitive Landscape

Every major identity vendor is adding agent capabilities. The difference: they manage agent identity. ARIA governs what agents actually do — with structured approval, credential isolation, and cryptographic proof.

CISOs evaluating agent security Identity architects planning agent governance Teams deploying MCP-based agents

When your agent needs to delete 10,000 accounts, who approves — with structured evidence and bounded reasoning? Who proves what was approved with cryptographic non-replayable execution? Who ensures it executes exactly once?

That is what ARIA does. Deploy agents your way: govern the ones you bring, or run on ours.

How ARIA delivers runtime execution control

Four architectural mechanisms that work together

Structured approval before action

The PDP's three-outcome model: Allow, Deny, or Escalate via Structured Safety Case. Bounded AI reasoning, SHA-256 evidence digests, single-use execution token with exactly-once semantics. Patents pending.

Authorization before credential retrieval

Credentials never leave the trust boundary until policy authorizes the action. Three-zone isolation is architectural, not policy — no code path returns credentials to the agent runtime.

Policy-scoped discovery

Agents only see tools they are authorized to use. Filtering at delegation, PDP batch, and Orchestration Service layers — fail-closed. Most agent platforms return the full tool catalog at discovery time.

Cryptographic proof chain

Beyond audit logs: cryptographic evidence of what was approved, what credentials were used, what executed, and what the result was. Per-parameter provenance trail.

Enterprise identity vendors

Adding agent capabilities to existing identity platforms

Okta for AI Agents

GA April 2025
What they do

Agent directory, Agent Gateway with virtual MCP server, discovery, kill switch.

Where approaches differ

Gateway-level control, not execution-level. No structured approval protocol before agent action. No credential isolation architecture. No cryptographic proof chain.

CyberArk / Palo Alto

GA
What they do

Discovery, privilege controls, lifecycle management, real-time threat detection.

Where approaches differ

PAM heritage — retrofitting vault architecture for agent workloads. No MCP-native execution governance. No approval-gated workflow protocol. No semantic operation binding.

SailPoint

GA
What they do

Discovery connectors (Bedrock, Vertex, Agentforce), MCP server for access requests.

Where approaches differ

Discovery and governance focus, not runtime execution control. No structured approval before action. No credential isolation. No proof chain.

ServiceNow + Veza

Acquisition closed March 2026
What they do

AI Control Tower, Access Graph for identity mapping, agent identity control plane.

Where approaches differ

Workflow-first approach, not identity-first. No runtime authorization enforcement at the execution layer. No MCP-native execution governance. No proof chain.

Microsoft Entra Agent ID

Preview
What they do

Agent identities, conditional access, governance, network controls.

Where approaches differ

Designed for Microsoft 365/Copilot ecosystem. Organizations with multi-cloud or non-Microsoft agent stacks need cross-platform execution governance.

MCP-native authorization vendors

Building MCP-specific authorization and gateway products

Permit.io

MCP Gateway
What they do

Managed MCP security gateway with auth, consent, audit.

Where approaches differ

Discovery is not policy-scoped. OPA flat policies, not graph-native ReBAC. No identity lifecycle management. No exactly-once approved execution.

Kong

API Infrastructure
What they do

API infrastructure extending to MCP governance.

Where approaches differ

Gateway-centric ACLs, not fine-grained ABAC/ReBAC. No approval protocol. No proof chain. No identity governance layer.

Obot.ai

MCP Hosting
What they do

MCP hosting + gateway + registry + chat client.

Where approaches differ

Role-based only. No policy engine. No identity governance. Infrastructure play, not authorization.

Cerbos

AuthZ Engine
What they do

Open-source AuthZEN-compliant authorization engine.

Where approaches differ

PDP only — no PEP, no gateway, no lifecycle. YAML policies, not graph-native. A component, not a platform.

Two ways to deploy ARIA

BYO Agent Platform

Govern the agents you bring

Keep your current agent stack (Dify, Langflow, n8n, custom MCP clients, copilots). ARIA provides runtime authorization, policy-scoped tool access, user/agent delegation, zero-exposure credential handling, approval-before-act, and proof chain.

EmpowerNow Platform

Run on a governed agentic platform

Adopt the full platform: governed identity workflows (Operate), autonomous monitoring (Sentinel), visual workflow design (Design), and conversational desktop automation across browser, desktop, and phone — all with server-side authorization and proof.

Standards and compliance

ARIA controls map to OWASP LLM Top-10, MITRE ATLAS, and EU AI Act requirements including transparency (Art. 53), traceability, log retention (Annex IV), human oversight (Art. 14), and risk management (Art. 9). U.S. patent applications pending. See Standards & Compliance for the full mapping.

Put AI agents into production safely

See how ARIA delivers runtime execution control.

Request Demo Explore ARIA

Competitor descriptions are based on publicly available product documentation as of March 2026. Capabilities may have changed since this page was last updated. We encourage buyers to verify current product capabilities directly with each vendor.