Many enterprises are rushing to adopt AI agents and autonomous systems, but most lack the tools to see or control what these systems are doing. A new report highlights a growing gap between AI deployment and security readiness. Despite widespread usage, companies struggle to monitor or govern their AI-driven workflows effectively.

Rapid Adoption Without Proper Visibility

The latest findings reveal that over 70% of organizations are actively experimenting with or deploying AI agents across departments. However, only 21% have full visibility into how these agents operate or access data. This creates significant blind spots in enterprise workflows and APIs, leaving critical systems vulnerable.

AI agents are becoming embedded in mission-critical processes faster than security teams can adapt. Many companies have integrated these systems without the necessary observability to oversee their actions. This disconnect increases the risk of security breaches and operational failures.

Lack of Guardrails and Continuous Testing

While most organizations recognize the importance of safety measures like guardrails and runtime controls, only about half have actually implemented them. The majority still rely on manual reviews or after-the-fact monitoring, which are not sufficient for autonomous agents that operate independently.

Experts warn that without real-time controls and ongoing testing, enterprises are flying blind. “Visibility is the biggest gap today,” says a security leader. “You can’t govern or enforce rules if you don’t know what your agents are doing.” This gap could become a major enterprise risk in 2026.

As AI adoption accelerates, the report emphasizes that establishing strong governance and continuous testing will be crucial. Companies unable to keep pace with security measures risk losing control over their autonomous systems and exposing themselves to new threats.

In summary, while AI agents are transforming enterprise workflows, most organizations are unprepared to manage the security implications. Building better visibility, guardrails, and ongoing testing will be key to safe and effective AI deployment in the future.

Inspired by

• https://ai-techpark.com/akto-2025-agentic-ai-security-report-finds-only-21-have-visibility/