Harness

44% of technology professionals at large enterprises run active discovery tooling to verify their inventory of agents, MCP servers, and LLMs.

87% of technology professionals at large enterprises experienced security incidents overall.

More than 40% of organizations decide case by case whether to trust an agent change.

62% of security practitioners report having no visibility into the usage of large language models (LLMs) within their organizations.

61% of new enterprise applications are designed with AI components in mind as of 2025.

74% of security practitioners believe that AI sprawl will significantly exceed the risks associated with API sprawl.

58% of organizations that promote agent changes to production check every change against a fixed, repeatable standard.

58% of technology professionals at large enterprises report an increase in production incidents per 100 changes since deploying AI agents.

75% of technology professionals at large enterprises say their agents are secure end to end.

77% of technology professionals at large enterprises are confident they have a complete inventory of every agent, MCP server, and LLM in their environment.

37% of technology professionals at large enterprises run less than half of their agent-related changes through a standard pipeline.

88% of the technology professionals who say their agents are secure end to end experienced security incidents.

74% of technology professionals at large enterprises say they have a complete picture of true spend per agent.

42% of technology professionals at large enterprises run prompt edits through the same pipeline as a code change.

53% of technology professionals at large enterprises route agent-related changes through any standard pipeline before production.

34% of technology professionals at large enterprises have a dedicated configuration system for AI behavior.

74% of technology professionals at large enterprises are confident their testing would catch a production-impacting failure.

19% of technology professionals at large enterprises have a gate that automatically blocks every bad release.

76% of technology professionals at large enterprises believe they could disable a misbehaving agent in under 15 minutes.

33% of technology professionals at large enterprises have an instant kill switch in place for misbehaving agents.

60% of technology professionals at large enterprises overran their budget last quarter.

75% of security practitioners believe that shadow AI will surpass the risks previously posed by shadow IT in 2025.

74% of security leaders believe that developers view security as a barrier to AI innovation.

62% of security practitioners report that their developers lack the necessary time to implement comprehensive AI-native security.

76% of enterprises have experienced security incidents involving LLM prompt injection.

75% of security practitioners indicate that AI applications evolve faster than security measures can keep up.

Only 34% of developers notify security teams before starting AI projects.

82% of security practitioners consider AI-native applications to be the new target for cybercriminals.

62% of security practitioners believe that developers are not taking responsibility for securing AI-native applications.