75% of enterprises say their AI agents are secure. Only 23% actually have security for them.

700 organizations were asked how confident they are in their AI agents.

Every answer landed between 74% and 77%.

Then Harness asked what controls they actually had in place.

The gap is terrifying.

75% say their agents are secure end to end.
23% have a dedicated AI-agent security layer in production.

77% are confident they have a complete inventory of every agent, MCP server, and LLM.
Only 44% run discovery tooling that could verify it.

74% are confident their testing catches production failures.
19% have a gate that automatically blocks bad releases.

87% had at least one agent-related security event this year.
Confidence didn't predict who had incidents.

This is not a tooling gap. It is a belief with no mechanism behind it.

58% report more production incidents per 100 changes since deploying agents.

The worst part: 41% of organizations are confidently declaring "no shadow AI" with nothing in place that could detect its presence.

If a rogue agent appeared tomorrow, nothing would change.

Not the inventory. Not the confidence.

Audit your agent security posture today.
Name the tool watching your agents. If you cannot name it, you have no security.

SOURCE: https://www.harness.io/blog/the-ai-agent-confidence-gap
VERIFIED: Harness blog (Sep 10, 2026), PR Newswire (Sep 10, 2026), Harness State of Agent DLC 2026 report page
SIGNAL: Enterprise AI agent governance is a $0-budget problem masquerading as a tooling problem. CISOs who cannot name their agent security layer are one incident away from a board-level conversation.