Of attempted misuse attempts that involved financial accounts, 14% involved checking accounts.

88% of respondents say that, in their organization, the definition of a ‘privileged user’ applies solely to human identities.

70% of respondents say identity silos are a root cause of organizational cybersecurity risk.

There are 82 machine identities for every human in organizations worldwide.

87% say their organization experienced at least two successful identity-centric breaches in the past 12 months.

Nearly half (42%) of machine identities have sensitive or privileged access.

68% say their organizations lack identity security controls for AI.

61% do not have identity security controls in place to secure cloud infrastructure and workloads.

Human and machine identities are expected to double in 2025.

By using holistic identity matching for an individual employee, the average exposure increases to 146 records per employee, 22 unique usernames, 13 total usernames, 89 unique emails, 141 total emails, 57 credential pairs, and 8 unique sources. This represents more than 12x the exposed data compared to the traditional view.

Under holistic identity matching, the average exposure for a single consumer identity shows 229 records per customer, 52 unique usernames, 105 total usernames, 27 unique emails, 125 total emails, 227 credential pairs, and 9 unique sources.

The average exposure for a single employee identity in 2024, under a traditional exposure model, shows 11 records per employee, 1 unique username, 1 total username, 1 unique email, 11 total emails, 7 credential pairs, and 7 unique sources (breach, malware, or phish).

Cloud-native and identity-enabled techniques surged in the Red Canary's 2025 Threat Detection Report, with Cloud Accounts, Email Forwarding Rule, and Email Hiding Rules ranking among the top five.

The Red Canary's 2025 Threat Detection Report noted four times as many identity attacks compared to the 2024 edition.