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Entra Id Protection

skill-vinayaklatthe-microsoft-security-skills-entra-id-protection · by vinayaklatthe

Guidance for Microsoft Entra ID Protection — risk-based identity security that detects user and sign-in risk and automates remediation. Covers risk detections, risk-based Conditional Access, self-remediation via MFA / secure password change, risky-user investigation, and streaming risk to Sentinel. WHEN: Entra ID Protection, identity risk policy, risky users, risky sign-ins, user risk policy, sig…

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Install

$ agentstack add skill-vinayaklatthe-microsoft-security-skills-entra-id-protection

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

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Declared compatibility

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Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

Microsoft Entra ID Protection

Microsoft Entra ID Protection uses Microsoft's threat intelligence and ML to detect identity risk (user risk and sign-in risk), automate remediation, and surface a queue of risky users and sign-ins for investigation. Requires Entra ID P2 to enable risk policies.

When to use

Adding risk-based, adaptive protection on top of Entra ID and Conditional Access. Use this skill to choose risk thresholds, decide between self-remediation and SOC investigation, and stream signals to Sentinel.

Do not use this skill for on-prem AD attack detection (defender-for-identity), authoring plain CA policies (conditional-access-mfa), or PIM activation (azure-pim).

Map the risk signal to the response

| Risk type | Examples | Recommended response | |---|---|---| | Sign-in risk (this request) | Anonymous IP, atypical travel, malware-linked IP, unfamiliar sign-in properties | Risk-based CA → require MFA | | User risk (this identity) | Leaked credentials (TI feeds), Microsoft / partner-reported compromise | Risk-based CA → require secure password change | | Both medium+ on same user | Active session takeover indicators | Block + force secure password change + analyst review |

> Rule of thumb: start risk policies at High threshold, run for 30 days, then expand to > Medium once user registration and remediation flows are proven. Starting at Medium without > SSPR + MFA registration causes lockouts.

Approach

  1. Confirm prerequisites — Entra ID P2 licensing, MFA + SSPR registration enforced for the

target user scope (registration policy in Authentication methods). Verify: Authentication methods activity report shows > 95% of in-scope users registered for at least one strong method.

  1. Use risk-based Conditional Access, not legacy built-in risk policies — Author CA

policies with Sign-in risk and User risk conditions. Legacy "User risk policy" / "Sign-in risk policy" toggles are deprecated in favour of CA. Verify: no legacy risk policies enabled; risk conditions appear in CA What-If results.

  1. Tier 1 - High risk only — First policy set: High sign-in risk → require MFA; High user

risk → require secure password change. Exclude break-glass accounts from every risk policy. Verify: report-only for 14 days shows < 5 false positives per 1,000 sign-ins before enforcing.

  1. Tier 2 - Medium expansion — After 30 days of clean Tier 1 metrics, expand to Medium

sign-in risk → MFA. Don't extend user risk to Medium without an analyst review queue.

  1. Investigate the queue — Triage Risky users, Risky sign-ins, Risk detections

daily. Confirm compromise (forces remediation + trains the model) or dismiss false positives. Never bulk-dismiss without review - dismisses teach the model wrong signal. Verify: weekly risky-user queue < 1% of monthly active users in a healthy tenant.

  1. Stream to Sentinel — Diagnostic settings → send RiskyUsers, UserRiskEvents,

RiskyServicePrincipals to a Log Analytics workspace. Correlate with MDI and MDE in Defender XDR incidents.

Guardrails

  • Break-glass accounts excluded from every risk policy. A leaked-credential detection on

the wrong account can lock you out of the tenant.

  • MFA + SSPR registration first. Self-remediation only works when users can complete it.

Without registration, risk policies become lockouts.

  • Start at High, expand to Medium. Medium thresholds without tuning generate noise and

user friction.

  • Don't dismiss bulk false positives. Dismiss = "this was safe" which trains the model.

Use confirm-safe / confirm-compromise deliberately, not as a queue cleanup tool.

  • Workload identity risk is separate. Service principals have their own risk detections
  • cover them with a parallel policy.

Common anti-patterns

  • "Use the legacy User risk / Sign-in risk policy toggles" - Deprecated. Use CA risk

conditions which support broader controls and exclusions.

  • "Risk policy on All users at Medium on day one" - Lockout event. Pilot at High first.
  • "Bulk-dismiss the risky user queue weekly to clear noise" - Trains the detector

incorrectly and erodes future precision.

  • "Risk events stay in Entra portal" - No SOC correlation. Stream to Sentinel and

Defender XDR.

Example prompts

  • Configure risk-based Conditional Access for sign-in risk and user risk in Entra ID Protection.
  • Set up self-remediation - MFA for sign-in risk, secure password change for user risk.
  • Investigate a user flagged as risky and confirm compromise or dismiss safely.
  • Stream Entra ID Protection risk events to Sentinel for SOC correlation.
  • Why are we getting too many medium-risk alerts - how do I tune?

Microsoft Learn

  • Overview: https://learn.microsoft.com/entra/id-protection/overview-identity-protection
  • Risk policies (deprecation note): https://learn.microsoft.com/entra/id-protection/concept-identity-protection-policies
  • Risk-based Conditional Access: https://learn.microsoft.com/entra/id-protection/howto-identity-protection-configure-risk-policies
  • Investigate risk: https://learn.microsoft.com/entra/id-protection/howto-identity-protection-investigate-risk
  • Risk detections reference: https://learn.microsoft.com/entra/id-protection/concept-identity-protection-risks
  • Stream to Sentinel: https://learn.microsoft.com/entra/id-protection/howto-export-risk-data

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.