What should organisations do after employees submit credentials in a simulation?

Why This Matters for Security Teams

A failed simulation is not a “training completion” event. It is evidence that a real phishing, session theft, or credential replay path may work in production if the same user, device, or workflow is targeted again. Security teams should treat the result as a live risk signal and connect it to identity controls, monitoring, and exposure review rather than stopping at awareness metrics.

This matters because credential submission often reveals more than user susceptibility. It can expose weak approval habits, over-permissive access, stale secrets, or gaps in detection around risky sign-in behaviour. The control goal is to reduce the chance that the same pattern becomes a compromise pathway. Guidance from the OWASP Non-Human Identity Top 10 and NHI management research such as the Guide to the Secret Sprawl Challenge both point to the same operational reality: exposed credentials are only useful to defenders if they trigger concrete containment work.

In practice, many security teams encounter the real weakness only after a simulation reveals who will hand over access without hesitation, rather than through intentional access-path testing.

How It Works in Practice

After a simulation, the response should start with triage. Identify who submitted credentials, what type of account or secret was exposed, and whether that identity is tied to privileged systems, finance, code repositories, or remote access. Then determine whether the event indicates a one-off mistake or a broader pattern across a department, role, or office. The point is not to punish users; it is to reduce repeatability.

Operationally, teams usually take four actions. First, apply targeted follow-up that matches the risk level, such as focused coaching for low-risk users or manager escalation for repeated failures. Second, review whether the affected user needs tighter monitoring, especially if the simulation involved a privileged account or a device already showing suspicious sign-in behaviour. Third, look for similar behaviour in other high-risk groups, such as finance, IT support, developers, and executives. Fourth, correlate the outcome with access hygiene, because a user who submits credentials once may also be protecting over-shared secrets or long-lived sessions. The 2024 Non-Human Identity Security Report notes that 88.5% of organisations say their non-human IAM practices lag behind or are merely on par with human IAM, which is a reminder that secret handling problems often extend beyond the individual.

Where possible, align the response with live controls rather than one-time remediation. That means checking for MFA fatigue exposure, password reuse risk, shared mailbox access, and whether the same identity has broad access through Static vs Dynamic Secrets style weaknesses in adjacent workflows. These controls tend to break down when simulation results are not integrated with identity telemetry, because the organisation can see user behaviour but cannot connect it to privilege, session, and secret exposure.

Common Variations and Edge Cases

Tighter follow-up often increases operational overhead, requiring organisations to balance fast intervention against alert fatigue and unnecessary escalation. That tradeoff is real, especially when simulations are run at scale or across mixed-risk populations.

Best practice is evolving for how aggressively to respond to a single submission. A one-time lapse by a low-risk employee may warrant coaching and light monitoring, while repeated submission by a privileged user should trigger a deeper review of access scope, session duration, and secret exposure. If a simulation targets a shared mailbox, help-desk workflow, or contractor account, the issue may be structural rather than behavioural, which means the response needs to address process design, not just user awareness.

There is also a distinction between awareness and resilience. A user who fails a simulation may still be safe if compensating controls are strong, but a user who fails and also has broad access, weak device trust, or visible secret sprawl creates a materially different risk. Current guidance suggests treating those cases separately instead of using a single pass-fail threshold. For broader control alignment, practitioners can map the response to Cisco Active Directory credentials breach lessons and the Reviewdog GitHub Action supply chain attack, both of which show how quickly exposed credentials become operational risk when no one acts on early warning signs.

Related resources from NHI Mgmt Group

• How do organisations reduce the dwell time of exposed credentials at scale?
• How should organisations stop auto-sync from turning desktops into repositories of credentials?
• What should organisations change after a large-scale labour fraud scheme?
• Why do employees stop reporting suspicious emails after a few attempts?