Prompt-layer safety vs. action-layer governance. Both protect AI systems, but they operate at different stages of the agent lifecycle.
| Capability | Intercis | Lakera Guard |
|---|---|---|
| Deployment model | Intercept proxy (zero code changes) | API call per prompt (SDK integration) |
| Tool call interception | ✅ Real-time deny/allow/observe | ❌ Text-layer only |
| Agent identity validation | ✅ Per-agent registry + tool scopes | ❌ No agent identity concept |
| Tamper-evident audit trail | ✅ Policy decision logged per call | ⚠️ Prompt logs only |
| OWASP Agentic AI coverage | 14/17 threats | ⚠️ T6 (prompt injection) primarily |
| Prompt injection detection | ✅ Observe mode | ✅ Core product strength |
| Kill switch | ✅ Manual: deactivate agent, proxy denies calls | ❌ Not applicable |
| SOC2/ISO 27001 evidence | ⚠️ Audit log export; no SOC2/ISO packages | ❌ Not designed for compliance |
| Pricing | Contact for pricing | Usage-based API pricing |
Lakera Guard excels for teams building chatbot-style applications where the primary risk is harmful prompts or data leakage in user-facing conversations. If your system's main interaction surface is text-in, text-out (no tool access), Lakera's prompt injection detection and content moderation are best-in-class.
Lakera is particularly strong if you need lightweight integration (API calls) and don't have infrastructure control to deploy a proxy. Their detection models are tuned for adversarial prompts, jailbreak attempts, and data leakage patterns.
Intercis is for teams deploying AI agents with production infrastructure access. When your agents can call APIs, write files, trigger CI/CD pipelines, or access databases, you need action-layer enforcement.
Choose Intercis if you need to enforce policy before an agent executes a tool call—not after. You need real-time interception, agent identity validation, and tamper-evident, append-only audit trails. Intercis integrates into your infrastructure (proxy layer) without requiring SDK changes across your agent codebase.
Intercis covers 14 of 17 OWASP Agentic AI threats, including tool confusion, unauthorized tool access, and excessive agency—gaps that prompt-layer tools cannot close.
Lakera filters what agents hear. It inspects every prompt, detects injection attempts, and flags dangerous inputs before they reach the LLM.
Intercis controls what agents do. It intercepts every tool call on the LLM API wire after the LLM decides to act, validates it against policy, and can deny, allow, or observe in real time.
If your agents have tool access, prompt safety alone isn't enough. A clean prompt can still lead to a destructive action if the agent is misconfigured, confused about which tools it can use, or compromised.
Request early access and watch how action-layer governance protects your agents.