Microsoft Entra Conditional Access Optimization Agent vs Ridge Security RidgeGen (agentic AI red teaming) and RidgeBot
Microsoft Entra Conditional Access Optimization Agent (Microsoft) and Ridge Security RidgeGen (agentic AI red teaming) and RidgeBot (Ridge Security (Ridge Security, Inc.)) 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 |  Ridge Security RidgeGen (agentic AI red teaming) and RidgeBot |
|---|---|---|
| Vendor | Microsoft | Ridge Security (Ridge Security, Inc.) |
| HQ | United States · North America | United States · North America |
| Primary category | Security | Security |
| Also listed in | Security | Security |
| 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. | Offensive-security vendor from Milpitas, California. Its on-premises, model-agnostic RidgeGen agent does agentic AI red teaming: it reasons through multi-step attack chains to find business-logic and non-CVE risks, verifies every finding with reproducible exploit evidence, gives fix guidance and re-runs to confirm fixes. It sits alongside RidgeBot automated pentesting. |
| Framework tags (Agent Index) | — | — |
| Frameworks (vendor-claimed) | — | — |
| Capabilities / tasks | identity governance, policy management, remediation | pen test management, attack surface, vulnerability management, exposure management |
| 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 published |
| Pricing model | quote | quote |
| Primary source | https://learn.microsoft.com/en-us/entra/security-copilot/conditional-access-agent-optimization | https://ridgesecurity.ai/ridgegen/ |
| Last checked | 2026-10-18 | 2026-10-19 |
| Official site | https://learn.microsoft.com/en-us/entra/security-copilot/conditional-access-agent-optimization | https://ridgesecurity.ai/ridgegen/ |
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 Ridge Security RidgeGen (agentic AI red teaming) and RidgeBot. Open a pair page or the use-case table — this is not a ranking.
- Check Point Agentic Exposure Validation (AEV, AI agents that prove external exploitability) — Part of Check Point Exposure Management, launched May 28, 2026. AI agents reason like attackers across an organisation's external attack surface, correlating exposures, leaked credentials, CVE and live exploit research with existing protection coverage, then safely prove, pivot on, or discard each finding, so teams get evidence of what is actually exploitable. · Check Point Agentic Exposure Validation (AEV, AI agents that prove external exploitability) pair comparison
- depthfirst autonomous security agents (code, supply chain, secrets and agentic pentesting) — San Francisco application-security platform whose autonomous AI agents trace business logic and data flows to find exploitable code vulnerabilities, check dependency reachability and secrets, review pull requests with proposed fixes, and run agentic pentests against running applications, re-running each attack after a fix merges to confirm it is closed.
- Edgescan Atomic (agentic autonomous penetration testing in the Edgescan platform) — Autonomous penetration testing built into the Dublin-based Edgescan platform, launched October 7, 2026. A team of narrow AI agents plans, adapts, chains vulnerabilities and validates real impact on web applications, using Edgescan's existing asset context and findings, while a deterministic 'Harness' enforces scope, permissions, approvals and allowed actions. Findings land alongside Edgescan's DAST, PTaaS and ASM results. · Edgescan Atomic (agentic autonomous penetration testing in the Edgescan platform) pair comparison
- Nullify autonomous product-security agents (find-to-fix with merge-ready PRs and AI Pentest Agent) — Australian 'autonomous system of agents' for product security that covers code, secrets, API pentesting and exploit validation. It proves findings with reproducible evidence, scores them against the customer's assets, writes merge-ready fix PRs routed to code owners, and runs remediation campaigns through Jira and Slack until merge, with the customer keeping final merge approval.
Use-case comparisons
- Agentic pentesting AI agents — 19 listings (Autonomous or AI-assisted penetration testing, attack-surface testing and exploitable-path verification)
- Identity governance AI agents — 4 listings (Identity governance, access reviews and Conditional Access coverage)
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