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24/06/2026 9:24 pm
TL;DR: SOC2 is being stretched by cloud-era secrets sprawl, where service accounts, API keys, tokens, and other non-human identities are often broad, always on, and difficult to monitor, according to Entro Security. That makes continuous visibility and lifecycle control more important than point-in-time compliance checks.
NHIMG editorial — based on content published by Entro Security: SOC2 compliance and secrets security
Questions worth separating out
Q: How should security teams manage non-human identities for SOC2 compliance?
A: Treat service accounts, API keys, tokens, and certificates as audited identities, not just technical artefacts.
Q: Why do secrets create more SOC2 risk in cloud environments than in traditional systems?
A: Cloud environments multiply the number of places a secret can be copied, reused, and forgotten.
Q: What breaks when hard-coded secrets are left in code and collaboration tools?
A: The organisation loses visibility into where the credential exists, who can access it, and whether revocation has actually removed every copy.
Practitioner guidance
- Build a complete NHI inventory Catalogue service accounts, API keys, access tokens, certificates, and workload roles across code repositories, CI/CD systems, chat tools, and cloud platforms.
- Eliminate hard-coded secrets from operational workflows Scan repositories, pipelines, issue trackers, and collaboration platforms for embedded credentials, then replace them with centrally governed secrets and workload identity patterns.
- Map secrets controls to SOC2 evidence requests Pre-build evidence for logical access, monitoring, change management, and remediation by showing where secrets are created, rotated, and revoked.
What's in the full article
Entro Security's full article covers the operational detail this post intentionally leaves for the source:
- A control-by-control SOC2 checklist for Kubernetes and AWS environments, including CC6 and CC7 mapping.
- Specific guidance on eliminating hard-coded secrets from repositories, messaging systems, and collaboration tools.
- Operational examples for using IAM roles, KMS, CloudTrail, Config, and CloudWatch in SOC2 evidence collection.
- Practical detection ideas for service-account misuse, incorrect credentials, and runtime secret theft.
👉 Read Entro Security's analysis of SOC2 compliance and secrets security →
SOC2 and secrets security: what IAM teams need to do?
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25/06/2026 6:36 am
SOC2 is being asked to prove a control model that cloud-native secrets handling often invalidates. SOC2 assumes controls can be scoped, evidenced, and tested in a stable way, but NHI sprawl breaks that expectation when credentials are copied across code, chat, pipelines, and runtime systems. The discipline problem is not a missing checkbox, it is that the evidence chain fragments faster than audit cycles can reconstruct it. Practitioners should treat secrets inventory as audit evidence, not just security hygiene.
A few things that frame the scale:
- The average estimated time to remediate a leaked secret is 27 days, despite 75% of organisations expressing strong confidence in their secrets management capabilities, according to The State of Secrets in AppSec.
- 43% of security professionals are concerned about AI systems learning and reproducing sensitive information patterns from codebases, according to the same report.
A question worth separating out:
Q: Which frameworks best support SOC2-style controls for machine identities?
A: OWASP Non-Human Identity Top 10 and the NIST Cybersecurity Framework 2.0 are the most direct matches for secrets and machine access governance. They help teams organise controls around access, monitoring, and lifecycle management. For cloud-native identity work, that gives security leaders a clearer way to map operational controls to audit expectations.
👉 Read our full editorial: SOC2 compliance for secrets security and NHI governance
