Prevent autonomous AI agents from executing unintended actions with runtime governance

Prevent autonomous AI agents from executing unintended actions with runtime governance targets a $2.5B = 50,000 target companies × $50K ACV total addressable market with medium saturation and a year-over-year growth rate of 30% YoY — driven by enterprise AI adoption and security tooling demand (industry analyst synthesis).

Key trends driving demand: Shift from chatbots to autonomous agents — more production-grade agents mean higher risk of real-world side effects and therefore more demand for runtime controls.; Enterprise focus on auditability and compliance — regulators and auditors increasingly demand traceable decision trails for systems that take automated actions.; Multi-model and multi-cloud deployments — organizations using multiple LLM vendors need vendor-agnostic governance layers that work across models and clouds.; DevSecOps integration — security is moving left into developer workflows and must integrate with CI/CD and observability to be effective..