Why do insurers care about human behaviour in cyber renewals?

Why underwriters track human behaviour signals

Insurers care because renewals are priced on expected loss, not on stated policy intent. Human behaviour is one of the clearest indicators of whether the organisation can avoid the most common entry paths, especially when CISA cyber threat advisories continue to show phishing, credential theft and social engineering as recurring incident drivers. If users click, reuse, or approve too quickly, that translates into more frequent claims and a less defensible risk story.

That is why carriers pay attention to observable behaviours such as phishing susceptibility, MFA fatigue, helpdesk verification discipline and whether risky actions are actually reduced over time. Those signals help distinguish a paper programme from one that is changing attacker exposure in practice.

How behaviour evidence changes the renewal conversation

Behaviour data gives insurers a way to compare declared controls with operational reality. A company may claim strong awareness training, but if simulations, reporting rates or exception handling show weak decision-making, the carrier has evidence that the control is not reliably reducing loss likelihood. In that sense, behaviour metrics are underwriting evidence, not just security metrics.

This also matters because renewal decisions are sensitive to trend, not only point-in-time maturity. A falling rate of risky clicks, faster reporting of suspicious messages, and tighter approval of unusual requests suggests exposure windows are shrinking. That directly affects whether the insurer sees improving control effectiveness or persistent human error risk.

For programmes that rely on ongoing awareness and response, lifecycle processes for managing identities are useful as a comparison point: the same renewal logic applies when the control is not just present, but governed, reviewed and kept current.

What good evidence looks like to a carrier

Carriers tend to value evidence that is repeated, specific and outcome-oriented. A useful submission usually shows whether users are learning, whether risky actions are being intercepted, and whether the organisation can prove containment when a phish lands.

• Simulation results that are trending in the right direction, not one-off training completion figures.
• Measured reporting speed for suspicious messages and the rate of successful containment.
• Decision controls that reduce exposure, such as stronger verification for payment changes or login resets.
• Clear linkage between behaviour metrics and real incidents, such as lower business email compromise impact.

That is why renewal evidence often includes OWASP Non-Human Identity Top 10 as a complementary lens when human decisions affect secret handling, access paths or approvals around automated accounts and service credentials.

Risk and Threat Considerations

Human behaviour is attractive to attackers because it creates scalable opportunities for phishing, impersonation and business email compromise. If the organisation cannot show reduced risky decisions, the carrier has to assume a larger blast radius and a higher chance that a single successful lure will become a financially material loss.

Failure mechanism: Users approve fraudulent requests, disclose credentials, or delay reporting suspicious activity, allowing attackers to move from initial deception to payment diversion, account takeover or wider access before containment.

Impact: Loss severity rises, claims become harder to defend, and renewal pricing reflects both higher incident likelihood and weaker confidence in the organisation’s control environment.

Practitioner Guidance

What to verify: Show the carrier evidence that behaviour controls are working in production, not just that training was delivered. The strongest package usually combines trend data, exception handling and a clear story for how high-risk actions are intercepted before loss occurs.

What good looks like: The organisation can demonstrate fewer high-risk interactions, faster reporting, and tighter approval discipline around payments, resets and unusual requests. If those measures are stable or improving, they support a better renewal narrative than generic awareness claims.

Practitioner takeaway: Insurers are not pricing “human error” in the abstract, they are pricing whether your people consistently reduce loss opportunity when pressure, deception or urgency is present.

Related resources from NHI Mgmt Group

• Why do cyber insurers care so much about credential governance?
• Why do insurers care so much about identity, access, and response readiness before issuing cyber coverage?
• Why do insurers care about identity hygiene when pricing cyber coverage?
• What do security teams get wrong about human defence in cyber security?