Runtime Action Governance for Enterprise AI Explore Poligin 2.0 Features →

Give AI agents the power to act.
Keep the guardrails to protect your business.

When autonomous AI agents make decisions—updating databases, issuing credits, or calling internal APIs—poligin enforces deterministic security policies before anything executes in production. Sub-2ms runtime containment with zero blindspots.

⚡ Sub-2ms Evaluation: Zero user perceptible latency
🛡️ Fail-Closed Safety: Blocked actions never hit production
🌐 100% Model Agnostic: OpenAI • Gemini • Copilot • Claude
⚙️ Client Agnostic: MCP • Cursor • Semantic Kernel • LangChain • CrewAI
📜 HMAC Audit Flight Recorder: Board & EU AI Act ready
How poligin Protects Production in Real-Time
RUNTIME BOUNDARY • FAIL-CLOSED CONTAINMENT
01 • AUTONOMOUS AGENT
AI Decides Action
An LLM (GPT-4o, Gemini, Claude, or Copilot) invokes a tool to perform a task:
issue_refund(amount: $15,000)
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02 • POLIGIN RUNTIME GATE
Deterministic Policy Check
Evaluates parameters against corporate rules in < 2ms:
🛑 VIOLATION: Agent limit is $500 max without human VP approval.
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03 • PROTECTED PRODUCTION
Zero Blast Radius
API call is safely terminated at the gate. Downstream billing systems remain 100% untouched. Immutable audit record signed.
Executive Overview

The Foundation of Enterprise AI Safety

Everything enterprise leaders and CISOs need to know about the new era of autonomous action governance.

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What is poligin?

poligin is the real-time action firewall for autonomous AI agents. Just as network firewalls inspect network packets and IAM verifies user logins, poligin inspects the actions an AI agent attempts to execute (like querying a database, transferring money, or modifying code) and deterministically validates them against company policies before they happen.

"Think of poligin as the air traffic control system for your AI workforce—ensuring agents stay within designated flight paths."
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Why did we build it?

Because the AI security paradigm fundamentally broke when models gained the ability to execute actions. In 2023, AI models were chatbots that generated text. If they hallucinated, they produced silly words. In 2025–2026, agents have tool permissions, database connections, and corporate API keys. When an autonomous agent is tricked or hallucinates today, it executes real, irreversible financial or operational damage in milliseconds.

"We built poligin because existing security tools monitor who logs in or scan text strings—nobody was monitoring the actual runtime decisions inside the agent."
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Why do you need it?

To eliminate the impossible choice facing CISOs and AI leaders. Until now, leaders had two bad options: hobble agents with read-only access (destroying AI productivity and ROI) or grant broad tool access and pray they aren't compromised by prompt injections. poligin gives you the confidence to unlock full autonomous capabilities with mathematically guaranteed safety bounds.

"You wouldn't grant an intern unmonitored root access to production. You shouldn't grant it to an autonomous AI agent either."
THE GENERATIONAL SHIFT

Why Legacy Security Cannot Protect Agentic AI

OWASP LLM06 • Excessive Agency Containment
YESTERDAY: CHATBOTS (2023-2024)
Models that talk to humans
  • Input: Prompt text ("Summarize this document")
  • Output: Words displayed on a screen
  • Failure Mode: Embarrassing hallucination or offensive text
  • Legacy Defense: Keyword filters, WAFs, and prompt shields
TODAY: AUTONOMOUS AGENTS (2025-2026)
Models that take enterprise actions
  • Input: Complex multi-step task ("Resolve customer complaint")
  • Output: Real-world API calls (refund(), delete_user(), execute_sql())
  • Failure Mode: Financial fraud, data wiped, regulatory sanctions
  • Modern Defense: poligin deterministic runtime action containment
NEW IN POLIGIN 2.0

Breakthrough Action Governance Capabilities

Stateful multi-turn threat prevention, live empirical red-team validation, and autonomous zero-touch policy synthesis for mission-critical enterprise agents.

LEVEL 3 DEFENSE
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Multi-Turn Toxic Combinations & Blast Radius

Stateless gateways miss chained attacks. Poligin tracks data taints across turns, tracks cumulative risk budgets per session, and automatically severs runaway destructive loops before execution.

Session Blast Engine Deep Dive ➔
EMPIRICAL TESTING
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Live Adversarial Red-Teaming Studio

Empirically simulate adversarial tool attacks before shipping to production. Sequentially stress-test chained exfiltration, privilege escalation, and runaway blast loops with automated CI/CD verdicts.

Red-Teaming Studio Deep Dive ➔
ZERO-TOUCH ONBOARDING
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MCP Traffic Auto-Discovery & 1-Click Synthesis

Eliminate manual Rego policy authoring. Passively monitor runtime agent traffic, cluster tool usage baselines, and synthesize zero-trust containment rules in 1 click without downtime.

Policy Synthesis Deep Dive ➔
Explore Full Technical Architecture & All 8 Modules on Features Page ➔
Strategic Impact

Why CISOs and AI Executives Choose poligin

Security that unblocks innovation instead of slowing it down. Accelerate your AI roadmap with provable governance.

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Accelerate AI Rollouts

Unblock risk-averse security and legal teams. Move enterprise AI agents from stalled internal pilots to revenue-generating production in weeks with guaranteed safety.

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EU AI Act & SOC 2 Ready

Satisfy mandatory Article 14 requirements (human oversight and technical failsafes) for high-risk AI out of the box with automated, tamper-evident audit logs.

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100% Model Agnostic

Avoid vendor lock-in. Switch seamlessly between OpenAI, Google Gemini, Microsoft Copilot, and Claude without rewriting your compliance policies or governance stack.

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Zero API Modifications

Integrate in minutes. Deploys as a transparent proxy or a 3-line Python SDK wrapper. Your backend microservices and databases require zero architectural modifications.

Under The Hood

How poligin Enforces Real-Time Policy

Engineered for enterprise scale: sub-2 millisecond evaluation latency, fail-closed safety, and zero dependencies on cloud ML inference.

STEP 1 • INTERCEPT

1. Intercepts Action Intent

As soon as an agent formulates an action (via Model Context Protocol or Python SDK), poligin captures the exact parameters—user context, target resource, and dollar values.

STEP 2 • EVALUATE

2. Evaluates Boolean DSL in < 2ms

Our in-memory Go AST policy engine evaluates enterprise Attribute-Based Access Control (ABAC) rules instantly. Zero cloud roundtrips, zero probabilistic guessing.

STEP 3 • ENFORCE

3. Enforces Fail-Closed & Signs

Authorized actions proceed transparently. Unauthorized actions are immediately terminated before hitting your API. Every decision is cryptographically signed with HMAC-SHA256.

STEP 4 • STEP-UP

4. Human-in-the-Loop Interactivity

Privileged actions trigger real-time, interactive cards in Slack & Microsoft Teams. Approvers authorize in 1 click, generating single-use cryptographic tokens.

For Enterprise Architects & Developers: 60-Second Integration
✓ Production Tested in Go & Python

poligin connects to any AI framework in just 3 lines of code, or operates as a zero-touch network proxy on port 8080.

# 1. Install universal client
pip install poligin

# 2. Wrap OpenAI, Google Gemini, Copilot, or LangChain tools in under 2ms
from poligin import OpenAIGuard, ApprovalRequiredError

# Evaluates tool calls before execution; handles automated Step-Up approval:
guard = OpenAIGuard()
try:
    decision = guard.evaluate_tool_call(tool_call, actor="support_agent", roles=["operator"])
except ApprovalRequiredError as e:
    # Action halted: Slack / Teams interactive card dispatched with 1-click decision link
    print(f"Step-up required. Challenge ticket: {e.ticket_id}")
Enterprise Scenarios

Where poligin Protects the Enterprise

Concrete real-world examples of how runtime action containment prevents catastrophic losses.

CUSTOMER EXPERIENCE • CRM & SUPPORT

Autonomous Support & CRM Agents

⚠️ The Real-World Risk

A user uses prompt manipulation to trick an autonomous customer service agent into waiving a $15,000 billing fee or exfiltrating other clients' confidential account histories.

🛡️ poligin Runtime Containment

Enforces deterministic business bounds (max_waiver ≤ $100) and cryptographically validates that the agent's target tenant ID strictly matches the verified caller session.

FINANCIAL SERVICES • BANKING

Loan & Treasury Agents

⚠️ The Real-World Risk

An autonomous banking agent processes a forged PDF with an embedded indirect prompt injection requesting an immediate unauthorized wire transfer to an offshore entity.

🛡️ poligin Runtime Containment

Instantly halts transactions exceeding daily liquidity limits, enforces business-hours execution locks, and mandates human dual-custody verification before the wire API executes.

ENTERPRISE IT • DEVOPS & CODE

Autonomous Coding Agents

⚠️ The Real-World Risk

A coding assistant (Cursor, Claude Desktop) is tricked by an external open-source repository into deleting production database tables or exfiltrating private SSH keys.

🛡️ poligin Runtime Containment

Enforces strict workspace directory isolation: blanket DENY on file reads targeting .env or id_rsa, and terminates all system-level drop or mutate commands in < 2ms.

Competitive Architecture

The 4 Layers of Enterprise AI Defense

Why traditional identity and perimeter firewalls cannot see or stop autonomous agent actions.

Capability Dimension poligin (Layer 4) Microsoft Entra Agent ID (Layer 1) F5 AI Guardrails (Layer 2) Palo Alto AIRS (Layer 3)
Primary Question Answered "Can the agent run THIS action right now?" "Who is this agent?" (Identity) "Is this a valid network pipe?" (Network) "Are the words polite?" (Content)
What It Actually Inspects Live tool arguments, parameters, and business bounds OAuth tokens and login credentials TLS handshakes, IPs, and HTTP headers Natural language text in prompts and responses
Decision Latency < 2ms (In-Memory Go AST) Static (Evaluated once at login) ~15–30ms 100–400ms (Cloud ML Classifier)
Containment Guarantee ✓ 100% Deterministic (Zero Guesswork) ✕ Blind to Tool Arguments ✕ Blind to JSON-RPC Actions ✕ Probabilistic (Bypassed by polite phrasing)
Model & Client Agnosticism ✓ 100% Agnostic (OpenAI, Gemini, Copilot, Claude, Cursor, Semantic Kernel) ✕ Microsoft / Azure Ecosystem Only ✕ Network Proxy Only ✕ Text API Scanner Only
Audit Trail Standard ✓ HMAC-SHA256 Signed Flight Recorder Sign-in access logs only Standard web traffic logs Incident alert logs
Human-in-the-Loop (HITL) ✓ Native Slack Block Kit & Teams Adaptive Cards (1-Click & Webhooks) ✕ MFA at initial login only ✕ None ✕ Alert logging only
Frequently Asked Questions

Answers for Enterprise Leaders

Common questions from CISOs, VPs of AI, and enterprise risk officers.

Does poligin replace Microsoft Entra, Okta, or our WAF?
No. poligin seamlessly complements your existing stack. Entra and Okta verify who the agent is at login. Your WAF protects the perimeter. poligin acts as the runtime safety brake inside the application, evaluating what the agent is doing on every single tool call.
Will this slow down our AI agent response times?
Not at all. poligin's evaluation engine is written in pure Go and executes compiled Boolean AST rules in under 2 milliseconds. This is imperceptible to end users and vastly faster than the LLM's own token generation time.
Do our developers have to rewrite our backend APIs?
Zero changes are needed. Downstream APIs and tool servers remain 100% unmodified. poligin operates as a transparent proxy or a lightweight Python SDK wrapper that guards existing tools.
Which models and frameworks are supported?
poligin is completely decoupled from model weights. We support OpenAI (ChatGPT, GPT-4o), Google Gemini 2.0, Microsoft Copilot, Anthropic Claude, Perplexity, Cursor, Microsoft Semantic Kernel, LangChain, CrewAI, and custom REST API agents.
How does poligin handle high-risk actions requiring human approval?
poligin provides native Human-in-the-Loop (HITL) Step-Up Authorization. Rules configured with require_approval pause execution and dispatch interactive Slack Block Kit and Microsoft Teams Adaptive Cards. Authorized reviewers can approve or reject with 1 click, generating single-use cryptographic tokens with zero permanent privilege escalation.

Ready to Safely Deploy Your Enterprise AI Workforce?

Schedule a 20-minute architecture briefing with our engineering leadership to see runtime action containment live in your environment.

Schedule Executive Briefing Explore GitHub Repository