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06/09/2026 3:45 pm
TL;DR: Social engineering remains one of the most effective enterprise attack paths because it exploits trust, urgency, and legitimate workflows rather than software flaws, according to LEVO. The security implication is that identity, authorization, and runtime visibility must be designed to limit damage even when a human decision is manipulated.
NHIMG editorial — based on content published by LEVO: social engineering in modern enterprise software and API-driven workflows
By the numbers:
- 70% of organisations grant AI systems more access than they would give a human employee performing the exact same job.
- Systems with least-privileged AI access had a 17% incident rate vs 76% for over-privileged systems.
Questions worth separating out
Q: How should security teams reduce social engineering risk in identity recovery workflows?
A: They should treat recovery as a privileged control path, not a customer service process.
Q: Why do social engineering attacks remain effective in API-driven enterprises?
A: Because modern systems often treat a valid identity and an approved workflow as proof of legitimate intent.
Q: What are the signs that social engineering controls are failing?
A: Common failure signals include repeated clicks on suspicious links, staff bypassing verification steps, unexpected credential sharing, and approval of urgent requests through unapproved channels.
Practitioner guidance
- Map high-risk workflows to identity-sensitive actions Inventory the approvals, transfers, administrative actions, and API calls that can create material impact if triggered by a manipulated identity.
- Constrain delegated access around business-critical APIs Apply least privilege to the APIs, service accounts, and delegated tokens that turn human approvals into system execution.
- Detect abnormal workflow execution in real time Correlate identity context, request timing, and action sequence so that legitimate sessions can still be flagged when they behave outside role expectations.
What's in the full article
LEVO's full article covers the operational detail this post intentionally leaves for the source:
- How social engineering plays out inside API-driven application workflows and why that matters for runtime enforcement
- Examples of Levo's API inventory, monitoring, and inline protection capabilities for limiting abuse after initial deception
- The article's full discussion of blast radius reduction across live systems and sensitive business logic
- Implementation context for teams that need to move from awareness to control design in production environments
👉 Read LEVO's analysis of social engineering in API-driven enterprise workflows →
API driven social engineering attacks: what IAM teams need to know?
Explore further
06/09/2026 3:45 pm
Social engineering is now an identity governance problem, not a training problem. Awareness programmes can reduce clicks, but they do not change the trust model that lets a manipulated identity perform real work. The deeper issue is that enterprise systems still assume authenticated requests are intentional and valid. That assumption breaks when the attacker is operating through a legitimate workflow, so identity governance must extend beyond login to the approval and action layers.
A question worth separating out:
Q: Should organisations prioritise workflow controls or user awareness against social engineering?
A: They need both, but workflow controls should carry more weight because they limit damage after the human layer fails. Awareness can reduce exposure, yet resilient programmes assume manipulation will succeed at least sometimes. Containment, transaction checks, and runtime monitoring determine whether one deceptive request becomes a major incident.
👉 Read our full editorial: Social engineering risk is shifting into API driven enterprise workflows
