A Global Fraud Index is a country-level framework for comparing digital fraud risk across markets. It combines fraud outcomes with the conditions that influence them, such as digital access, government intervention, and economic stability. Used well, it helps governments and businesses prioritise prevention where the underlying risk is highest.
Expanded Definition
A Global Fraud Index is not a single fraud score, but a comparative measurement framework used to assess how fraud risk varies by country or market. It typically blends observed fraud outcomes with structural conditions that shape exposure, such as digital adoption, payment infrastructure, regulatory enforcement, consumer trust, and macroeconomic stability. In practice, the term is broader than transaction fraud alone and may include account takeover, synthetic identity abuse, authorised push payment scams, and cross-border platform abuse. Definitions vary across vendors and public-interest studies, so the exact inputs and weighting should always be checked before using the index for policy or market entry decisions.
For NHI and agentic systems, this matters because fraud pressure is often a signal of identity weakness, poor step-up controls, or weak recovery processes. A market with high fraud intensity may justify stricter controls around service account issuance, API key rotation, and tool-access governance, especially when paired with guidance from NIST SP 800-53 Rev 5 Security and Privacy Controls on access control and monitoring. The most common misapplication is treating the index as a precise loss forecast, which occurs when teams ignore whether the underlying methodology measures actual fraud events or only risk conditions.
Examples and Use Cases
Implementing a Global Fraud Index rigorously often introduces a tradeoff between comparability and local precision, requiring organisations to weigh a consistent cross-market view against the risk of oversimplifying country-specific fraud patterns.
- A payments team uses the index to rank launch markets and apply stronger step-up authentication where fraud conditions are elevated, rather than using a single global policy.
- An enterprise risk function combines the index with internal incident data to decide where service account monitoring and API key rotation should be prioritised first, informed by the operational lessons in Ultimate Guide to NHIs.
- A marketplace adjusts seller verification, device checks, and transaction limits in countries where identity abuse and account recovery fraud cluster more heavily than average.
- A fraud operations team compares the index against local enforcement and payment rails to decide whether the dominant threat is card testing, mule activity, or social-engineering led account takeover.
- A platform security group uses the index alongside NIST SP 800-53 Rev 5 Security and Privacy Controls to set country-specific thresholds for anomaly detection and response.
Why It Matters in NHI Security
Global fraud conditions shape how aggressively organisations need to govern non-human identities, because service accounts, bots, and API keys are frequently abused in the same environments where consumer fraud is already elevated. NHIMG research shows that only 5.7% of organisations have full visibility into their service accounts, while 79% have experienced secrets leaks and 97% of NHIs carry excessive privileges, making fraud-aware identity governance a practical necessity rather than a theoretical concern. Those conditions are captured in the Ultimate Guide to NHIs, which also highlights how often secrets remain exposed after notification and how rarely offboarding is handled cleanly.
For security leaders, the index is useful when deciding where to tighten secrets handling, authentication friction, transaction monitoring, and bot detection across geographies. It also helps explain why NHI controls cannot be uniform everywhere: a market with high fraud pressure may require faster rotation, stronger approval workflows, and tighter third-party access than a lower-risk market. Organisations typically encounter the full operational cost of a weak fraud posture only after repeated account abuse, payment losses, or incident escalation, at which point the Global Fraud Index becomes operationally unavoidable to address.
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, NIST Zero Trust (SP 800-207), NIST SP 800-63 and NIST AI RMF set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST CSF 2.0 | GV.RM-01 | Risk management decisions should reflect market-level fraud exposure and operational context. |
| OWASP Non-Human Identity Top 10 | NHI-01 | Fraud-prone markets magnify the impact of weak NHI visibility and excessive privilege. |
| NIST Zero Trust (SP 800-207) | SC.AU-1 | Zero trust assumes ongoing verification, which is vital when fraud risk varies by jurisdiction. |
| NIST SP 800-63 | AAL2 | Fraud index outputs often inform where stronger authenticator assurance is warranted. |
| NIST AI RMF | Risk measurement should be context-aware, transparent, and continuously validated. |
Use country fraud signals to prioritise controls, thresholds, and escalation paths in your risk program.
Related resources from NHI Mgmt Group
- Why do compliance teams need region-specific identity and fraud education instead of using a single global playbook?
- What is the difference between global identity strategy and local governance?
- What is the difference between account takeover and new account fraud?
- Who is accountable when a SoD conflict leads to fraud or compliance failure?
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on August 26, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
