AgentShield
How it works
All features Prompt-injection firewall AI guardrails Tool & data permissions Agent observability Audit trail Data-loss prevention Agent red teaming
All use cases Snowflake Cortex security Gemini Enterprise security Bedrock AgentCore security Azure AI Foundry security OpenRouter security AI gateway LLM security RAG security MCP server security Coding agents Customer service agents AI agent governance AI compliance Government Financial services Enterprise agents AI firewall Agentic AI security AI agent monitoring AI-SPM Agent hardening Tools compared Agent access control Agent identity AI data leak prevention Human in the loop Agent sandboxing AI penetration testing AI agent guardrails Healthcare Legal Insurance Multi-agent security Zero trust for agents Threat modeling AI runtime security MCP gateway LangChain security Claude agent security OpenAI agent security OpenClaw security Hugging Face security Cursor AI security n8n security Copilot Studio security LiteLLM security Gemini CLI security GitHub Copilot security Microsoft 365 Copilot security Kiro security Codex security Microsoft Agent 365 security OpenAI Agent Builder security Microsoft Agent Framework security Google ADK security Flowise security NeMo Agent Toolkit security Zendesk AI agents security ChatGPT workspace agents security Amazon Quick Suite security Oracle AI Agent Studio security Pydantic AI security Mastra AI security Dify AI security Notion Custom Agents security Zapier MCP security Gemini Enterprise Agent Platform security OpenAI Agents API security Claude Managed Agents security Security
Pricing Blog FAQ Contact Sign in

AI agent security pricing

AI security pricing for AI agents with every price on the page.

Every plan is paid and priced for the value of shipping agents safely. No contact-sales wall to learn the cost. The interactive demo on the homepage is free to try.

Plans

Choose the plan that fits your fleet.

Developer

Solo builders shipping their first production agent

$24 /mo

$288 billed once a year

Billed monthly

Get started
  • Up to 3 agents
  • Prompt-injection firewall
  • Tool and data permissions
  • Real-time action monitoring
  • 30-day immutable audit trail
  • OpenAI, Anthropic, LangChain, MCP
Most popular

Team

Teams running agents in production

$99 /mo

$1,188 billed once a year

Billed monthly

Get started
  • Up to 25 agents
  • Everything in Developer
  • Human-approval gates
  • Data-loss prevention rules
  • 1-year audit trail and SIEM export
  • Observe-only and enforce modes

Scale

Platforms governing fleets of agents

$374 /mo

$4,488 billed once a year

Billed monthly

Get started
  • Unlimited agents
  • Everything in Team
  • Custom policy packs and red-team runs
  • Multi-workspace and roles
  • SAML SSO and audit export API
  • Priority support with a named contact

Enterprise

Regulated and high-volume deployments

$749 /mo

$8,988 billed once a year

Billed monthly

Get started
  • Unlimited agents, everything in Scale
  • On-prem, VPC, or private cloud
  • DPA on request
  • OWASP LLM and EU AI Act evidence pack
  • Custom approval workflows
  • Named security engineer

All plans are paid. The interactive demo is free to try. Prices in USD.

Every plan

What every plan includes.

Runtime firewall

Prompt-injection detection on every untrusted input, blocked at execution time.

Least-privilege permissions

Scope exactly which tools and data each agent may touch.

Real-time monitoring

Watch every action stream in with its verdict, and alert on risk.

Immutable audit trail

Every action recorded and tamper-evident. SIEM export from Team up.

How the market prices this

How is AI security priced?

AI security is sold on four pricing models, and they are not comparable line for line. Per-seat pricing scales with the humans on your team, per-agent with the number of agents you run, per-request with how busy those agents are, and platform pricing bundles agent controls into a larger security contract with an annual minimum. The same workload can differ by an order of magnitude depending on which model a vendor uses, which is why a quoted number means very little until you know what it counts.

Pricing model What it counts Best when Where it bites
Per seat Named human users of the console A small security team oversees many agents It prices your headcount, not your risk. Adding agents costs nothing, so the number stops describing exposure
Per agent Distinct agents under policy You run a countable fleet with clear owners Multi-agent designs inflate the count fast, and definitions of one agent vary between vendors
Per request or per action Calls inspected or authorized Traffic is spiky or you are piloting A chatty agent can multiply the bill overnight, and you cannot forecast before you have observed
Platform bundle A larger security contract with AI included You already buy the platform Annual minimums, usually well into six figures, and agent depth varies by module maturity

We price per agent, published above, because it is the number that tracks what you are actually asking us to govern and it is the one you can forecast before signing. The honest caveat is that per-agent pricing is the least flattering model for heavily multi-agent architectures, so if you run swarms of short-lived sub-agents, Scale and Enterprise both cover unlimited agents at a flat monthly price.

For the full cost picture, including the engineering time teams spend building controls in-house before they buy anything, see our breakdown of what AI agent security costs. If you are still shortlisting, the AI agent security companies guide covers who sells what and which specialists now sit inside larger platforms.

Every plan includes the same enforcement primitives, because a control you only get at the top tier is not a control you can design around. That means per-agent tool and data permissions for deciding what each agent is scoped to touch, human approval gates for AI agents so an irreversible action waits for a named person, and an immutable audit trail you can hand an auditor months later. The tiers differ on volume and support, not on whether the agent can be stopped. If you want to see how those pieces behave in production before you pick a plan, AI runtime security walks through the enforcement path end to end.

Pricing questions

Pricing questions, answered.

AgentShield has transparent, self-serve pricing with real prices on the pricing page, starting at $49 per month on the Developer plan, $199 per month on Team (the most popular), $749 per month on Scale, and $1,498 per month on Enterprise, or half that when billed yearly ($24, $99, $374 and $749 per month, which is $288, $1,188, $4,488 and $8,988 a year). Every plan, Enterprise included, is bought by card on the site. There is no contact-sales wall to learn the cost, which is part of the wedge: the price of an agent security tool should be on the page.

Yes, on higher tiers. On-prem, private cloud, and VPC deployments are available on Scale and Enterprise plans for teams with data-residency or isolation requirements. Pick the plan on the pricing page and pay by card; Enterprise adds a named security engineer for the deployment.

AgentShield is stack-neutral. It drops in front of OpenAI, Anthropic, LangChain, CrewAI, MCP servers, and custom agents as a control plane, so there is no framework rewrite. It sits in the request and action path rather than replacing your agent framework, which means you keep the stack you already built and add firewall, permissions, monitoring, and audit in front of it.

No. AgentShield is four controls in one plane, not a single guardrail. It combines a prompt-injection firewall, tool and data permissions, real-time monitoring, and an immutable audit trail, so you get the firewall plus least-privilege plus observability plus the audit evidence without stitching together three vendors. It is the control layer in front of your agent, not a single point tool you bolt on.

Govern your agents from day one.