Microsoft Entra Conditional Access Optimization Agent vs Tenable One (Hexa AI)
Microsoft Entra Conditional Access Optimization Agent (Microsoft) and Tenable One (Hexa AI) (Tenable) are both listed in the Security category of Agent Index. They share no framework tags in our dataset.
| Field |  Microsoft Entra Conditional Access Optimization Agent |  Tenable One (Hexa AI) |
|---|---|---|
| Vendor | Microsoft | Tenable |
| HQ | United States · North America | United States · North America |
| Primary category | Security | Security |
| Also listed in | Security | Security, Risk |
| Summary | Security Copilot agent in Microsoft Entra that scans a tenant for users, apps and agent identities not covered by Conditional Access, recommends or updates policies and applies one-click remediation. | Exposure management platform with Tenable Hexa AI agentic orchestration for vulnerability triage and remediation workflows. |
| Framework tags (Agent Index) | — | — |
| Frameworks (vendor-claimed) | — | — |
| Capabilities / tasks | identity governance, policy management, remediation | vulnerability management, exposure management, remediation |
| Pricing (as published) | No standalone price. Requires Microsoft Entra ID P1 or higher plus Security Copilot security compute units (Microsoft Learn says a run averages under one SCU); Microsoft says Security Copilot agents are also made available to Microsoft 365 E5 customers. Check Microsoft's Security Copilot pricing for SCU rates. | Not verified |
| Pricing model | quote | quote |
| Primary source | https://learn.microsoft.com/en-us/entra/security-copilot/conditional-access-agent-optimization | https://www.tenable.com/products/tenable-one/capabilities/hexa-ai |
| Last checked | 2026-10-18 | 2026-10-15 |
| Official site | https://learn.microsoft.com/en-us/entra/security-copilot/conditional-access-agent-optimization | https://www.tenable.com/products/tenable-one |
Side-by-side data is generated from the open dataset. “Vendor-claimed” frameworks are as marketed by each vendor and not verified by Agent Index; framework tags indicate relevance, not certification. Request current quotes from each vendor before buying. This page does not rank or score vendors. Sponsored comparisons, if any, will be labelled.
Also in this use case
Other verified listings that share a task tag or use-case group with Microsoft Entra Conditional Access Optimization Agent or Tenable One (Hexa AI). Open a pair page or the use-case table — this is not a ranking.
- Pixee (automated triage and fix) — Security 'harness' that triages SAST/SCA/DAST/secrets findings for exploitability, opens fix pull requests with the analysis attached, works inside coding agents, and builds design-stage threat models.
- Plerion Pleri (AI security engineer) — Sydney-based cloud and AI security platform with Pleri, an agent that investigates findings, checks real exploitability, raises fix PRs and Jira tickets, and follows each change through to merge. · Plerion Pleri (AI security engineer) pair comparison
- RegScale RegML AI agents (RegScale CCM) — Continuous controls monitoring platform whose RegML AI agents monitor controls, collect evidence, draft control documentation and trigger remediation for FedRAMP, CMMC and NIST programmes; RegScale CCM is FedRAMP High authorized.
- Sysdig Agentic AI (Sysdig Secure AI agents) — Outcome-driven AI agents inside Sysdig Secure for cloud and container security: Vuln, SOC, Posture, Risk and Response agents that investigate, prioritise and drive remediation on Falco-based runtime data. · Sysdig Agentic AI (Sysdig Secure AI agents) pair comparison
- Xygeni DevAI and CoreAI (agentic AppSec) — Agentic AppSec from Valladolid-based Xygeni: DevAI scans code in the IDE and generates validated fixes (including for AI-generated code), while CoreAI prioritises risk and orchestrates remediation PRs across the platform.
- ZeroPath (AI-native SAST and autofix) — AI-native AppSec platform that finds business-logic and auth flaws, validates findings from existing SAST tools, runs PR security reviews and generates one-click patches refined in natural language.
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