Executive Summary

As companies shift manual workflows to autonomous AI agents, security, compliance, and ops teams are losing visibility and control over production decisions, creating auditability, explainability, and recovery blindspots affecting roughly 200,000 enterprises adopting agentized automation. Those teams typically lack standardized policy-as-code, immutable audit trails, and safe rollback mechanisms, exposing organizations to regulatory risk and operational incidents. Build an enterprise security/compliance layer that provides policy-as-code, pre-deployment checks, runtime enforcement, immutable audit logs, explainability metadata, and one-click recovery/kill switches across popular agent runtimes and orchestration platforms. Deliver developer SDKs and SIEM/ITSM integrations so controls are programmable, observable, and fit into existing change-control and incident-response workflows. The addressable market is approximately $6.0B (200,000 target businesses × $30K ACV) and is being driven by agentification, regulatory pressure for explainability, and the shift-left security movement; market and revenue potential scores (90/100 and 88/100) suggest buyers are ready to pay for risk reduction. Differentiate by combining runtime governance and automated recovery with developer-first SDKs, standardized audit schemas, and deep integrations with top agent platforms and SIEMs—capabilities many incumbent static-policy tools lack. Expect integration complexity across heterogeneous agents and long procurement cycles as the main challenges, so prioritize pre-built connectors, compliance templates, and clear ROI metrics to accelerate adoption.

Market Opportunity

Add governance, audit, and recovery controls to production AI agents targets a $6.0B = 200,000 target businesses × $30K ACV (enterprise security/compliance layer for agentized automation) total addressable market with medium saturation and a year-over-year growth rate of 30% YoY — driven by enterprise AI adoption and security software expansion (based on Gartner/IDC 2023-2025 estimates for AI security and cloud security growth).

Key trends driving demand: Agentification — companies are shifting from human workflows to agentized automations, creating new operational surface area that needs governance.; Regulatory pressure — regulators and procurement teams increasingly request auditability and explainability for AI-driven decisions, creating a compliance market.; Shift-left security — security teams demand policy-as-code and pre-deployment checks for runtime agents, enabling programmatic governance platforms.; Observability for LLMs — new observability tools for model outputs and decisions are emerging, making it practical to build linked traces between agent prompts, actions, and system changes..

Key competitors include LangChain, StrongDM, AgentGuard.

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Add governance, audit, and recovery controls to production AI agents

Executive Summary

Market Validation

Market Opportunity

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