Report: 19% of Security Teams Consistently Meet Their Own SLAs

HiveWatch research reveals growing operational gaps in enterprise security with AI emerging as a defining marker of mature programs.
Published: June 3, 2026

EL SEGUNDO, Calif. — Physical security software company HiveWatch recently released “The State of Physical Security Operations in 2026,” a new benchmark report “examining how enterprise physical security programs actually perform when measured against operational realities,” according to the company announcement.

These “operational realities” include alarm volume, service level agreement attainment, operational maturity and artificial intelligence adoption, according to the announcement.

Commissioned through independent research firm Censuswide, “The State of Physical Security Operations in 2026” surveyed 300 U.S.-based professionals responsible for physical security operations at organizations with 500 or more employees and at least $5 million in annual revenue.

The findings “reveal a striking disconnect between confidence and operational effectiveness across modern security operations centers (SOCs),” according to the HiveWatch announcement.

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What Does the HiveWatch Report Reveal About Service?

“At a time when security teams are being asked to manage more devices, more alerts and more operational complexity than ever before, many organizations still lack the visibility and operational benchmarks needed to understand how effectively their programs are actually performing,” says Ryan Schonfeld, co-founder and CEO of HiveWatch, in the company announcement.

“This report highlights the growing gap between perceived readiness and measurable performance, while also showing how AI and automation are beginning to separate mature security operations from those struggling to keep pace,” he says.

Among the report’s key findings:

  • Large enterprises report false alarm rates approaching 44%
  • Nearly 30% of organizations still rely on manual device health checks instead of fully automated monitoring systems
  • 97% of respondents are either currently using AI or actively evaluating it for security operations
  • AI adoption reaches 75% among organizations that rate themselves at the highest maturity levels, compared to 43% among lower-maturity programs

The report also identifies “a growing ‘automation deficit’ across the industry, with operators spending significant time on repetitive administrative work such as manual alarm triage and routine notifications instead of higher-value threat analysis and response,” according to the HiveWatch announcement.

“The physical security industry has spent years talking about technology adoption, but the more important question is whether security programs are remaining operationally effective as complexity scales,” says Jordan Hill, co-founder and head of product for HiveWatch, in the company announcement.

“The organizations making meaningful progress are the ones operationalizing AI and automation to reduce noise, improve response and give operators the ability to focus on actual threats,” he says.

The report combines independent survey data with operational benchmark insights from HiveWatch customer environments to provide security leaders with comparative data across operational maturity, AI adoption, device monitoring, alarm management and SOC structure.

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Strategy & Planning Series
Strategy & Planning Series
Strategy & Planning Series