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05/07/2026 10:43 pm
TL;DR: Mismanaged identity, access, and privilege contributed to 75% of security breaches cited by Token Security, while cloud-native environments have pushed machine identities, API keys, and multi-account access far beyond the assumptions of perimeter-era IAM. The real issue is not only scale, but the collapse of access models built for slower, more centrally managed identity lifecycles.
NHIMG editorial — based on content published by Token Security: The Machine Identity Crisis: Navigating Uncharted Waters in Cloud Identity Security
By the numbers:
- Mismanagement of identity, access, or privileges contributed to 75% of security breaches, such as the 2024 Microsoft breach, Cloudflare 2023 Thanksgiving breach and the MGM resorts 2023 breach.
- Almost half of organizations manage their identity and access rights using over 25 different systems.
- 99% of users, roles, and services are given excessive permissions.
Questions worth separating out
Q: What breaks when machine identities are left with standing privilege in cloud environments?
A: Standing privilege turns a single compromised access key, API key, or service account into a broad attack path.
Q: Why do machine identities complicate least privilege in cloud IAM programmes?
A: Because the access need is tied to workload behaviour, not human job titles or static groups.
Q: How do security teams know whether machine identity governance is actually working?
A: Look for inventory completeness, ownership clarity, short-lived credentials, and fast revocation when workloads change.
Practitioner guidance
- Inventory every machine identity and secret Build a complete register of IAM users, service accounts, access keys, API keys, and workload credentials across cloud accounts and CI/CD systems.
- Reduce privilege at the role and account layer Review the permissions attached to cloud roles, service accounts, and automation identities before you chase individual user exceptions.
- Design revocation into machine identity lifecycle Treat offboarding, key rotation, and credential retirement as part of deployment and change management.
What's in the full article
Token Security's full blog covers the operational detail this post intentionally leaves for the source:
- The article expands on the shift from perimeter trust to identity-based trust across cloud-native environments.
- It gives more context on why multiple cloud-based directories and older identity systems make governance harder.
- It breaks down the role of microservices, Infrastructure as Code, and multi-account architecture in privilege expansion.
- It includes Token Security's perspective on machine-first monitoring for IAM users, access keys, and API keys.
👉 Read Token Security's analysis of machine identity risk in cloud security →
Machine identity risk in cloud security: what teams need to know?
Explore further
05/07/2026 10:46 pm
Machine identity governance has moved from a control problem to an architecture problem. The article is describing a cloud environment where service accounts, access keys, and API keys are no longer edge cases, but the main access fabric. That shifts the governance burden from isolated credential review to continuous identity lifecycle control across accounts, services, and automation paths. Practitioners should treat machine identity sprawl as a structural design issue, not a cleanup exercise.
A few things that frame the scale:
- 69% of security leaders agree identity management must fundamentally shift to address agentic AI systems, according to the 2026 Infrastructure Identity Survey.
- Only 13% of organisations feel extremely prepared for the reality of agentic AI despite the majority racing toward autonomous adoption.
A question worth separating out:
Q: What is the difference between securing human access and securing machine access?
A: Human access is governed around people, sessions, and behaviour, while machine access is governed around workloads, secrets, and execution paths. Machine identities need stronger lifecycle handling because they operate continuously, scale automatically, and are often embedded in systems that outlive the teams managing them.
👉 Read our full editorial: Machine identity risk is outpacing cloud IAM controls
