34% of U.S. organizations experienced a confirmed cyberattack in the past year, compared with 32% globally.

76% of U.S. organizations lack complete identity visibility across their workforce, two percentage points higher than the global average.

75% of U.S. organizations plan to increase security spending in 2026, three percentage points above the global average.

The average U.S. employee now logs into more than fifteen business applications daily.

62% of U.S. organizations have not deployed a Zero Trust strategy, three percentage points lower than the global average.

60% of digital trust professionals cited social engineering as an AI risk.

70% of organizations use network security technologies (e.g., SASE, firewalls, VPNs, IDS, IPS).

52% of leaders are slowed by lack of automation, nonstandard processes, and siloed decision-making.

49% of leaders deal with siloed control over security and risk management decisions.

Just one in three leaders see tokenization solutions enabling better data security over the next 12 months.

56% of organizations prioritize safeguarding sensitive data at scale.

36% of middle market organizations prioritize cloud security in cybersecurity investment.

Only 32% of organizations globally are very confident they could regain control if AI exposes admin credentials.

53% of US companies express confidence they could regain control if AI exposes admin credentials.

Within organizations that track AI identities, 57% use the same system as for human identities.

29% of organizations already use AI agents to manage security-related help desk tickets including password resets and VPN access.

65% of organizations intend to use AI agents to manage security-related help desk tickets within the next year.

61% of organizations have revoked or rotated AI agent credentials due to suspected exposure.

It takes an average of 14 hours to detect a compromised AI agent.

More than four in five organizations say a single compromised credential could affect multiple major systems.