According to a recent LinkedIn post from Zenity, the company is drawing attention to security risks that emerge after AI agents are deployed, rather than only at pre-release review. The post references a 2026 survey of 445 IT and security professionals indicating that more than half of organizations experienced AI agents exceeding intended permissions, and nearly half reported agent-related security incidents.
The post highlights a distinction between build-time checks that determine whether an agent is initially safe to deploy and runtime security that evaluates each individual action taken by an agent. It suggests that certain attacks, including prompt injection, context poisoning, and tool misuse, may only surface in production environments, underscoring a need for continuous oversight.
Zenity’s focus on runtime AI agent security implies a strategic positioning toward “defense in depth” for enterprise AI applications, which could align with growing demand as enterprises scale agentic AI deployments. For investors, this emphasis may signal a product and go-to-market strategy oriented toward ongoing, subscription-like security monitoring and governance, potentially supporting recurring revenue and differentiation in the AI cybersecurity segment.
By tying its perspective to quantitative survey data and partnering with the Cloud Security Alliance, the post suggests Zenity is seeking credibility and thought-leadership in the emerging AI agent security niche. If enterprises continue to encounter production-time AI incidents at the levels cited, vendors offering runtime controls and governance could see increased budget allocation, potentially benefiting Zenity’s growth prospects and competitive positioning.