Pre-production testing and runtime policy enforcement. Testing can't cover every scenario—enforcement handles the rest.
| Capability | Intercis | Maxim AI |
|---|---|---|
| Primary function | Runtime policy enforcement | Pre-production evaluation |
| Deployment model | Intercept proxy (zero code changes) | CI/CD integration + dashboard |
| Tool call interception | ✅ Real-time deny/allow/observe | ❌ Testing-phase only |
| Agent identity validation | ✅ Per-agent registry + tool scopes | ❌ Not applicable at test time |
| Tamper-evident audit trail | ✅ Policy decision logged per call | ⚠️ Test run results |
| OWASP Agentic AI coverage | 14/17 threats | ⚠️ Test coverage of known threats |
| Kill switch | ✅ Manual: deactivate agent, proxy denies calls | ❌ Not applicable (pre-production) |
| SOC2/ISO 27001 evidence | ⚠️ Audit log export; no SOC2/ISO packages | ❌ Not designed for compliance |
| Pricing | Contact for pricing | Usage-based pricing |
Maxim catches issues before deployment through rigorous testing. Intercis catches issues during deployment through real-time enforcement. AI agents are non-deterministic—testing can't cover every runtime scenario. The strongest governance stack tests thoroughly AND enforces continuously: Maxim ensures your agents pass pre-production quality gates; Intercis ensures they stay safe once they're live.
Teams building AI agents who want rigorous pre-production testing, automated evaluation, and quality gates in CI/CD. Maxim excels at development-stage agent quality—helping teams catch problematic behavior, evaluate correctness at scale, and block unsafe agents before they reach production.
Maxim is particularly valuable if you need LLM-as-a-judge evaluation, automated benchmarking against known threats, and guardrails on your development pipeline. Their evaluation framework helps teams identify failing test cases and iterate on agent behavior before deployment.
Teams that recognize testing alone can't cover non-deterministic agent behavior. When you need runtime protection because agents will encounter novel situations in production that no test suite anticipated.
Choose Intercis if your agents access sensitive systems (databases, APIs, file systems, CI/CD pipelines) and you need real-time policy enforcement. Intercis intercepts every tool call on the LLM API wire, validates it against your governance policies, and can deny, allow, or observe in real time—regardless of what your test suite covered.
Intercis is essential if you need per-agent tool scoping, tamper-evident, append-only audit trails, and a kill switch — an operator can deactivate an agent so the proxy denies its subsequent tool calls. It's your safety net for production agents, protecting against the unexpected scenarios that inevitably emerge in live deployments.
Maxim answers "is this agent ready for production?" — rigorous pre-production testing, evaluation gates, automated benchmarking.
Intercis answers "is this agent behaving safely right now?" — real-time enforcement, policy validation, action-layer control.
Testing and enforcement serve different lifecycle stages. Maxim's rigorous evaluation catches problems before they reach production. Intercis provides the safety layer once they're live, protecting against the novel scenarios that emerge in actual production workloads.
Request early access and watch how action-layer governance protects your agents.