Topic starter
03/12/2025 10:18 am
TL;DR: Unosecur says across AWS and Azure, periodic access reviews, static credentials, and orphaned service accounts leave identity threats under-monitored, while the 2023 Verizon Data Breach Investigations Report says 80% of breaches involve credential misuse. Continuous enforcement matters more than point-in-time review because valid logins, privilege creep, and token abuse move faster than compliance cycles.
Editorial analysis by NHI Mgmt Group, based on content published by Unosecur: “Stop Identity Threats in AWS & Azure”.
Key questions
Q: What breaks when AWS and Azure identity controls rely on periodic reviews?
A: Periodic reviews fail when attackers operate through valid credentials between certification cycles.
Q: Why do static credentials create more risk than ephemeral access for cloud admins?
A: Static credentials create standing privilege, which means one leak can remain usable until someone finds and revokes it.
Q: How do you know if identity threat detection is actually working?
A: Look for shorter mean time to detect and mean time to respond, plus fewer incidents where suspicious sessions persist for hours.
Practitioner guidance
- Replace hard-coded cloud credentials Inventory API keys, shared secrets, and copied tokens used between AWS and Azure, then eliminate them where managed identities, IAM roles, or OIDC federation can provide short-lived access.
- Centralise identity telemetry Pull sign-in, role assumption, token, and privilege events from both clouds into a SIEM so impossible travel, anomalous AssumeRole activity, and token abuse can be correlated in one place.
- Tighten non-human identity ownership Assign an explicit owner, business purpose, and revocation path to every service account, machine identity, and automation credential, including those that are currently dormant or orphaned.
Bottom line: Multi-cloud identity risk is driven less by perimeter failure than by uncontrolled credentials, stale privileges, and identities that outlive their business purpose.
What's in the full article
Unosecur's full blog covers the operational detail this post intentionally leaves for the source:
- Step-by-step controls for AWS Direct Connect, Azure ExpressRoute, and encrypted service-to-service paths
- Specific product workflows for AWS GuardDuty, Microsoft Defender for Identity, and Entra Access Reviews
- Detailed guidance on ITDR, ISPM, and Zero Standing Privilege implementation across cloud accounts
- Examples of compliance reporting for SOC 2, ISO 27001, and PCI-DSS evidence collection
👉 Read Unosecur's analysis of identity threats across AWS and Azure accounts →
Explore further
View Full Forum → | NHI Foundation Course → | Our Services → | Read the full analysis →
This topic was modified 10 months ago by Abdelrahman
This topic was modified 5 days ago by NHI Mgmt Group
07/10/2026 6:20 pm
Continuous identity enforcement is now the control boundary, not access approval. In multi-cloud environments, the critical failure is not whether access was approved once, but whether the identity remains constrained after issuance. Periodic review cycles cannot see runtime misuse, token replay, or privilege drift in the moment they occur. Practitioners should treat continuous enforcement as the operating model for AWS and Azure identity governance.
A question worth separating out:
Q: What is the difference between workload identity and API keys for AI agents?
A: Workload identity binds access to the runtime and usually issues short-lived credentials automatically, which reduces secret handling and improves revocation. API keys are typically static bearer secrets that can be reused if exposed. For governed agent environments, workload identity is the better control pattern because it aligns access with infrastructure and lifecycle management.
👉 Read our full editorial: Identity threats across AWS and Azure need continuous NHI controls