T1556.009: Conditional Access Policies
Adversaries may disable or modify conditional access policies to enable persistent access to compromised accounts. Conditional access policies are additional verifications used by identity providers and identity and access management systems to determine whether a user should be granted access to a resource.
For example, in Entra ID, Okta, and JumpCloud, users can be denied access to applications based on their IP address, device enrollment status, and use of multi-factor authentication.[1][2][3] In some cases, identity providers may also support the use of risk-based metrics to deny sign-ins based on a variety of indicators. In AWS and GCP, IAM policies can contain `condition` attributes that verify arbitrary constraints such as the source IP, the date the request was made, and the nature of the resources or regions being requested.[4][5] These measures help to prevent compromised credentials from resulting in unauthorized access to data or resources, as well as limit user permissions to only those required.
By modifying conditional access policies, such as adding additional trusted IP ranges, removing Multi-Factor Authentication requirements, or allowing additional Unused/Unsupported Cloud Regions, adversaries may be able to ensure persistent access to accounts and circumvent defensive measures.
Security context for executives and security teams
T1556.009: Conditional Access Policies describes Adversaries may disable or modify conditional access policies to enable persistent access to compromised accounts. Conditional access policies are additional verifications used by identity providers and identity and access management systems to determine whether a user should be granted access to a resource. For example, in Entra ID, Okta, and JumpCloud, users can be denied access to applications based on their IP address, device enrollment status, and use of multi-factor authentication.(Citation: Microsoft Conditi...
Executive priority
T1556.009: Conditional Access Policies is an official MITRE ATT&CK technique. Glexia treats it as defensive behavior context for prioritizing monitoring, control validation, and response planning without using the object by itself as an attribution claim.
Technical view
Security teams should validate T1556.009: Conditional Access Policies by reviewing the official ATT&CK relationships, mapped tactics (defense-impairment, persistence, credential-access), supported platforms (IaaS, Identity Provider), and available local telemetry before making detection or mitigation decisions.
Likely telemetry
- Official ATT&CK relationships and object metadata
- Identity, privilege, and authentication events
- Cloud control-plane, SaaS audit, and container platform logs
Detection direction
- Validate whether T1556.009: Conditional Access Policies appears in your detection coverage and tabletop scenarios.
- Use the object to align executive risk language with SOC, incident response, and detection engineering work.
- Do not treat ATT&CK relationship context as attribution without corroborating evidence.
Mitigation priorities
- Map the object to existing controls and identify missing telemetry or response ownership.
- Prioritize mitigations that reduce exposure on the listed platforms and tactics.
- Review adjacent ATT&CK relationships before changing policy, detections, or reporting language.
Additional notes and limits
Baseline Glexia take generated from the official MITRE ATT&CK STIX object, source hash, tactics, platforms, and detection fields. It is safe to replace with a richer model-generated take for the same source hash later.
This baseline take is source-grounded and schema-validated, but it does not include environment-specific telemetry, incident evidence, or threat-intelligence corroboration.
Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.
Conditional Access Policies
Adversaries may disable or modify conditional access policies to enable persistent access to compromised accounts. Conditional access policies are additional verifications used by identity providers and identity and access management systems to determine whether a user should be granted access to a resource.
For example, in Entra ID, Okta, and JumpCloud, users can be denied access to applications based on their IP address, device enrollment status, and use of multi-factor authentication.[1][2][3] In some cases, identity providers may also support the use of risk-based metrics to deny sign-ins based on a variety of indicators. In AWS and GCP, IAM policies can contain `condition` attributes that verify arbitrary constraints such as the source IP, the date the request was made, and the nature of the resources or regions being requested.[4][5] These measures help to prevent compromised credentials from resulting in unauthorized access to data or resources, as well as limit user permissions to only those required.
By modifying conditional access policies, such as adding additional trusted IP ranges, removing Multi-Factor Authentication requirements, or allowing additional Unused/Unsupported Cloud Regions, adversaries may be able to ensure persistent access to accounts and circumvent defensive measures.
How security teams should use this page
Treat this object as behavior context, not an attribution claim. Validate the related groups, software, data sources, and mitigations against official ATT&CK relationships and your own telemetry before making control-coverage decisions.
Related techniques
This mirrors the MITRE pattern of making group, software, campaign, and technique relationships scannable. Relationship notes come from mirrored ATT&CK relationship text when available.
| Domain | ID | Name | Relationship / procedure |
|---|---|---|---|
| Enterprise | T1556 | Modify Authentication Process | This object subtechnique of Modify Authentication Process. |
Groups, software, and campaigns
G1015: Scattered Spider
Scattered Spider is a native English-speaking cybercriminal group active since at least 2022. [1] [2] The group initially targeted customer relationship management (CRM) providers, business process outsourcing (BPO) firms, and telecommunications and technology companies before expanding in 2023 to gaming, hospitality, retail, managed service provider (MSP), manufacturing, and financial sectors. [2] Scattered Spider relies heavily on social engineering, including impersonating IT and help-desk staff, to gain initial access, bypass multi-factor authentication (MFA), and compromise enterprise networks. The group has adapted its tooling to evade endpoint detection and response (EDR) defenses and used ransomware for financial gain. [3] [4] [5] Scattered Spider had expanded into hybrid cloud and identity environments, using help-desk impersonation and MFA bypass to obtain administrator access in Okta, AWS, and Office 365. [6]
G1053: Storm-0501
Storm-0501 is a financially motivated cyber criminal group that uses commodity and open-source tools to conduct ransomware operations. Storm-0501 has been active since 2021 and has previously been affiliated with Sabbath Ransomware and other Ransomware-as-a-Service (RaaS) variants such as Hive, BlackCat, Hunters International, LockBit 3.0, and Embargo ransomware.[1][2][3][4]
All related ATT&CK context
Mitigation direction
Object version and sync metadata
The fields below describe the current mirrored snapshot. When Glexia retains multiple ATT&CK source imports, you can open the table to compare the same object across releases (hashes and MITRE timestamps). For MITRE’s own release notes and roadmap, see ATT&CK resources — Updates.
Imported snapshots across ATT&CK releases(2)
| Release | Bundle imported | Object version | Modified | Status | Raw hash |
|---|---|---|---|---|---|
| 19.2 | 2.0 | Current bundle | 6880e2e902b5… | ||
| 19.1 | 2.0 | Older bundle | 6880e2e902b5… |
Mirrored ATT&CK source object
The raw object is retained through the mirrored ATT&CK source bundle and object hash. The raw endpoint returns the exact object from the mirrored bundle when available.
External references and citations
MITRE external references are preserved separately from Glexia analysis so citations remain traceable to their original source records.
- [1]Microsoft Conditional Access
Microsoft. (2023, November 15). What is Conditional Access?. Retrieved January 2, 2024.
Open source URL - [2]JumpCloud Conditional Access Policies
JumpCloud. (n.d.). Get Started: Conditional Access Policies. Retrieved January 2, 2024.
Open source URL - [3]Okta Conditional Access Policies
Okta. (2023, November 30). Conditional Access Based on Device Security Posture. Retrieved January 2, 2024.
Open source URL - [4]AWS IAM Conditions
AWS. (n.d.). IAM JSON policy elements: Condition. Retrieved January 2, 2024.
Open source URL - [5]GCP IAM Conditions
Google Cloud. (n.d.). Overview of IAM Conditions. Retrieved January 2, 2024.
Open source URL - [6]mitre-attackT1556.009Open source URL
Source: MITRE ATT&CK®. © 2026 The MITRE Corporation. This work is reproduced and distributed with the permission of The MITRE Corporation. MITRE ATT&CK and ATT&CK are registered trademarks of The MITRE Corporation. Glexia is not affiliated with or endorsed by MITRE.
