Real‑time enforcement layer between AI agents and external tools (LLMs, APIs, DBs).
Blocks uncontrolled costs, runaway loops, unsafe behaviour before execution – not after.

• Detectors – real‑time behavioural monitoring (loops, retry storms, rate limits, budget, anomalies)
• Enforcement Engine – hard runtime constraints (invariants, capability tokens, policies, per‑agent boundaries)
• Decision Engine – confidence scoring + action levels (Observe/Warn/Block/Degrade), plan‑aware

• Circuit breaker for agents – auto‑halt runaway agents
• Policy engine – fine‑grained rules per workspace / agent / execution type
• Capability tokens – signed, bounded permissions
• Cost intelligence – real‑time + predictive cost attribution
• Audit logging – full traceability
• Adaptive enforcement – risk‑ and context‑aware rules
• Multi‑tenant isolation

• Prevent cost explosions, don’t just report them
• Treat agents as untrusted execution systems
• Enforce constraints in real time, not after logs
• Make enforcement deterministic and auditable