Controlled execution and governance layer for AI agents in legacy systems

Controlled execution and governance layer for AI agents in legacy systems targets a $6.0B = 60,000 mid-large enterprises x $100K ACV. Buyer logic: engineering/security teams at enterprises with legacy stacks paying enterprise SaaS for governance and connectors. total addressable market with medium saturation and a year-over-year growth rate of 22% estimated growth in security/governance tooling relevant to AI orchestration.

Key trends driving demand: Agentic automation growth -- enterprises adopting autonomous workflows increases need for execution controls and observability.; Legacy modernization pressure -- companies incrementally augment legacy systems with AI instead of full rewrites, creating integration demand.; Compliance and audit scrutiny -- rising regulatory expectations force explicit logging, approvals, and least-privilege enforcement for automation.; Shift to policy-as-code -- engineering teams prefer codified policies that can be tested, versioned, and included in CI pipelines..