Prevent accidental AI data leaks by blocking/redacting sensitive input

Prevent accidental AI data leaks by blocking/redacting sensitive input targets a $6.0B = 100,000 target organizations × $60K ACV (enterprise & mid-market spend on AI governance and security tooling) total addressable market with medium saturation and a year-over-year growth rate of 20% YoY — enterprise security and cloud DLP categories have accelerated with LLM adoption (industry reports 2023–2025).

Key trends driving demand: Rapid LLM adoption — more employees are using chatbots for work, increasing accidental data exposure and creating demand for inline controls.; Shift to API/proxy-based governance — enterprises prefer gateways and API-level controls that centralize policy rather than siloed agents.; Regulatory and procurement pressure — privacy regulators and corporate procurement are requiring explicit controls for third-party AI use.; Composability of security stacks — modern security buyers prefer cloud-native, API-first tools that integrate with SSO, SIEM, and CASB..