MSPs should prioritise visibility and policy consistency before they expand automation depth. If teams cannot inventory what is in use, they cannot decide what to govern, approve, or restrict. The most effective sequence is discovery, baseline policy, then automation. That order prevents the organisation from automating blind spots and makes later scaling more reliable.
Why This Matters for Security Teams
When AI tools, SaaS apps, and devices all expand at once, the real risk is not simply more volume. It is uncontrolled identity sprawl: more credentials, more permissions, more unmanaged integrations, and more ways for policy to diverge from reality. For MSPs, the first failure is usually not a sophisticated attack. It is governance that cannot keep pace with change.
This is why visibility must come before automation depth. Without a current inventory, teams cannot tell which tools are sanctioned, which accounts are privileged, or where secrets and tokens are already exposed. NIST Cybersecurity Framework 2.0 frames this as a core govern and identify problem, not a niche technical task; the same logic applies to SaaS and device estates that are growing faster than review cycles can handle. NHIMG research on The State of Secrets in AppSec shows how quickly trust erodes when secrets management becomes fragmented, and the Snowflake breach and Salesloft OAuth token breach both reinforce the same lesson: attackers exploit what defenders cannot see clearly enough to govern.
In practice, many security teams encounter credential abuse and SaaS over-permissioning only after a tenant, token, or integration has already been misused, rather than through intentional discovery.
How It Works in Practice
The most reliable sequence is discovery, baseline policy, then automation. Discovery means building a live view of SaaS apps, endpoints, identities, secrets, and third-party connections. Baseline policy means deciding what is allowed before enforcement tools start blocking or approving activity. Automation comes last because it should scale a known standard, not guess at one.
For MSPs, this often means separating controls into tiers:
- Inventory first: applications, admin accounts, API keys, OAuth grants, device posture, and privileged integrations.
- Classify second: sanctioned, tolerated, or prohibited services, plus which data and identities each service can touch.
- Standardise third: create a small set of baseline policies for MFA, privileged access, secret rotation, and device compliance.
- Automate last: only after the baseline is stable, use conditional access, alerts, and response playbooks to enforce it.
This approach aligns with the practical intent of the NIST Cybersecurity Framework 2.0, and it maps cleanly to NHIMG guidance seen across incidents like the BeyondTrust API key breach, where control value depended on knowing which secrets existed and where they were used. Current guidance suggests MSPs should treat SaaS authorisations and device trust as continuously changing states, not one-time approvals. That means policy consistency matters more than policy quantity. A smaller, enforceable policy set is usually more effective than a large catalogue that cannot be maintained.
These controls tend to break down in multi-tenant MSP environments where each client has different exceptions, inherited admin rights, and overlapping identity providers, because enforcement logic becomes inconsistent across tenants.
Common Variations and Edge Cases
Tighter discovery and policy control often increases operational overhead, requiring organisations to balance faster rollout against the risk of inconsistent enforcement. That tradeoff becomes sharper when clients already have multiple identity providers, unmanaged device fleets, or legacy SaaS permissions that no one wants to interrupt.
There is no universal standard for this yet, but current best practice is to avoid automating exceptions until they are documented and repeatable. In some environments, a limited allowlist is the right starting point; in others, especially where device trust is weak, the first priority is simply to remove unknown admin access and stale integrations. MSPs should also be careful not to equate visibility with control. A dashboard without policy ownership can create confidence without reducing risk.
NHIMG analysis of DeepSeek breach and the broader secrets research shows why this matters: exposed credentials and hidden integrations are not edge cases, they are usually the starting condition. The practical takeaway is to prioritise what can be governed consistently across customers, then expand automation only where the policy has already been proven stable.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
OWASP Non-Human Identity Top 10 address the attack and risk surface, while NIST CSF 2.0 and NIST CSF 2.0 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST CSF 2.0 | ID.AM-1 | Asset inventory is the first step when SaaS, AI tools, and devices all expand. |
| NIST CSF 2.0 | PR.AA-1 | Consistent identity and access policy is central to preventing uncontrolled sprawl. |
| OWASP Non-Human Identity Top 10 | NHI-01 | Hidden secrets and unmanaged non-human identities are common in fast-growing tool estates. |
Build and maintain a live inventory of apps, identities, secrets, and devices before automating enforcement.
Related resources from NHI Mgmt Group
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Reviewed and updated by the NHIMG editorial team on June 11, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
