Fix LLM rule-drift with reusable policy patterns + validation

Fix LLM rule-drift with reusable policy patterns + validation targets a $12.0B = 120,000 enterprises x $100K ACV (global enterprises seeking AI governance/tooling) total addressable market with medium saturation and a year-over-year growth rate of 35-50% growth in AI tooling and LLM ops spend driven by enterprise pilots scaling to production.

Key trends driving demand: LLM adoption in production -- More apps are embedding LLMs, increasing need for consistent rule enforcement across models.; Prompt engineering matures into productized tooling -- Teams want reusable, auditable rule templates rather than one-off prompts.; AI observability demand -- Enterprises expect telemetry and root-cause for model misbehavior, creating demand for monitoring integrated with rules.; Regulatory scrutiny & compliance -- Emerging privacy and safety regulations push companies to standardize policy enforcement across AI systems..