From multi-turn toxic tool combination prevention and session blast-radius budgeting to live adversarial red-teaming and 1-click MCP traffic auto-discovery—explore how poligin delivers deterministic runtime protection without slowing down innovation.
Traditional API gateways evaluate actions as isolated, stateless requests. But autonomous AI agents do not attack in a single step—they execute multi-turn sequences where each individual call appears benign in isolation, but their combination results in disastrous data exfiltration or catastrophic system sabotage.
read_file("pii_export.csv")), poligin tags the live session token with DATA_TAINT: PII_CONFIDENTIAL. If a subsequent turn attempts an outbound sink (e.g. webhook_post or send_slack_channel), the exfiltration is blocked in <2ms.
CISOs and enterprise security engineers cannot deploy autonomous agents into production based on prompt-engineering promises. Security requires repeatable, empirical verification. Poligin features a built-in interactive Red-Teaming Studio to simulate, stress-test, and benchmark agent attack chains before production deployment.
The biggest bottleneck to enterprise AI adoption is authoring security policies for hundreds of dynamic agent tools. Manually writing rules takes weeks and creates human error. Poligin solves this with passive runtime traffic inspection and autonomous policy synthesis.
Using an LLM to evaluate whether another LLM should take an action is dangerously flawed: it introduces hundreds of milliseconds of latency, explodes cloud token costs, and is susceptible to the exact same prompt jailbreaks it attempts to detect. Poligin enforces compiled, deterministic mathematical logic in under 2 milliseconds.
Who authorized this AI action? In most enterprise deployments, AI agents share static API tokens, destroying the audit trail. Poligin introduces Cryptographic Agent Passports with dual-key verification and automated human-in-the-loop step-up workflows.
When an autonomous system operates in production, compliance and legal teams require complete, unalterable proof of what happened. Poligin maintains an HMAC-SHA256 cryptographically chained flight recorder for every tool request, policy evaluation, taint state, and final decision.
Poligin operates as an inline, zero-trust security sidecar or gateway proxy sitting directly between autonomous AI runtimes and your internal systems.
Why traditional API gateways, LLM guardrails, and framework-level permissions fail to protect enterprise environments against autonomous agent risk.
| Capability / Dimension | poligin 2.0 (Action Firewall) | Traditional API Gateways (Kong, Apigee, AWS API GW) |
LLM Prompt Guardrails (LlamaGuard, Lakera, NeMo) |
|---|---|---|---|
| Multi-Turn Toxic Combination Interception | ✔ Stateful Taint Engine | ✘ Stateless (No turn memory) | ✘ Blind to tool execution state |
| Cumulative Blast-Radius Budgeting | ✔ Dynamic session kill-switch | ▲ Coarse rate-limits only | ✘ None |
| Decision Evaluation Latency | ✔ < 2ms (Compiled Go / Wasm) | ✔ 2ms – 5ms | ✘ 800ms – 2,000ms (LLM lag) |
| Live Adversarial Red-Teaming Studio | ✔ 6 built-in multi-turn templates | ✘ None | ▲ Static prompt fuzzing only |
| Zero-Touch MCP Traffic Auto-Discovery | ✔ 1-Click policy synthesis | ✘ Manual OpenAPI specs only | ✘ None |
| Deterministic vs Probabilistic Safety | ✔ 100% Deterministic logic | ✔ Deterministic (Static ACLs) | ✘ Probabilistic (Hallucinations) |
| Model & Agent Framework Independence | ✔ 100% Agnostic (MCP Standard) | ▲ HTTP Only (No MCP semantics) | ✘ Tied to specific LLM models |
| Dual-Key Entra ID Cryptographic Passports | ✔ Agent + Human dual identity | ✘ Static bearer tokens | ✘ None |
Schedule a live 30-minute architecture briefing with our founding engineering team. We'll simulate your enterprise agent workflows, demonstrate multi-turn toxic combination containment, and show how poligin deploys in under an hour.