Post-execution observability and pre-execution policy enforcement. Complementary tools for comprehensive agent governance.
| Capability | Intercis | Arize |
|---|---|---|
| Primary function | Pre-execution policy enforcement | Post-execution observability |
| Deployment model | Intercept proxy (zero code changes) | SDK + dashboard integration |
| Tool call interception | ✅ Real-time deny/allow/observe | ❌ Observes after execution |
| Agent identity validation | ✅ Per-agent registry + tool scopes | ⚠️ Agent tracing by ID |
| Tamper-evident audit trail | ✅ Policy decision logged per call | ✅ Trace and span logging |
| OWASP Agentic AI coverage | 14/17 threats | ⚠️ Detection-focused, not prevention |
| Kill switch | ✅ Manual: deactivate agent, proxy denies calls | ❌ Alerting only |
| SOC2/ISO 27001 evidence | ⚠️ Audit log export; no SOC2/ISO packages | ⚠️ Monitoring dashboards |
| Pricing | Contact for pricing | Free tier + enterprise |
Arize tells you what your agents did — traces, performance metrics, drift detection. Intercis controls what they're allowed to do — deny lists, policy enforcement, kill switches. The strongest agent governance stack uses both: Intercis blocks the dangerous actions before they execute; Arize gives you the observability to optimize everything else.
Teams focused on AI model performance, debugging agent traces, understanding agent behavior patterns, and production monitoring. Arize excels at post-execution visibility — giving you comprehensive insights into what your agents actually did, how they performed, and where they may be drifting from expected behavior.
Arize is particularly valuable if you need detailed observability dashboards, trend analysis, and historical performance tracking. Their open-source Phoenix tracing and visualization tools make it easy to understand agent decision trees and identify optimization opportunities.
Teams that need to prevent unsafe actions in real time, not just observe them after the fact. When "knowing what happened" isn't enough — you need "stopping it before it happens."
Choose Intercis if your agents access databases, call APIs, write files, or trigger CI/CD pipelines. You need pre-execution policy enforcement at the action layer. 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 — without requiring code changes across your agent infrastructure.
Intercis is essential if you need tamper-evident, append-only audit trails, per-agent tool scoping, and a kill switch — an operator can deactivate an agent so the proxy denies its subsequent tool calls.
Arize answers "what did the agent do?" — traces, performance metrics, drift detection, behavior analysis.
Intercis answers "should the agent be allowed to do this?" — real-time enforcement, policy validation, action-layer control.
Both questions matter. They're answered at different points in the execution lifecycle. Arize shines at understanding agent behavior after execution. Intercis prevents bad behavior before execution—making Arize's job easier by ensuring fewer dangerous actions make it into production in the first place.
Request early access and watch how action-layer governance protects your agents.