Concepts

Agent Firewall vs AI Security Platform

Platforms bundle discovery, posture, gateways, and runtime defense behind a sales process. An agent firewall is one readable, self-hosted control you can verify.

At a glance

Pipelock source AI security platform
Job Agent firewall. Mediates HTTP, WebSocket, and MCP traffic routed through it, scans it for secret leaks, prompt injection, SSRF, and tool poisoning, and can emit signed action receipts for mediated decisions when a signing key is configured. Bundle several controls into one vendor product: AI asset discovery, posture management, a gateway, runtime defense, red teaming, and compliance reporting, sold through procurement.
Enforcement point Network path, outside the agent process Wherever the vendor's sensors, gateways, and agents are deployed across an enterprise
Source Open source, Apache-2.0 core; Enterprise under ELv2 Not published as open source on the pages read for this comparison
Pricing shape Free core; paid Pro and Enterprise tiers Enterprise contracts; public price lists are rare
Runs as Single Go binary, self-hosted; container and Helm Vendor-run control plane plus components in the customer environment; NeuralTrust documents a data plane that runs in your VPC or on-prem
Pick AI security platform

You need discovery, posture, runtime, and reporting from one vendor with a contract, and your organization buys security through procurement.

Pick Pipelock

You need one control you can read, run yourself, and verify on the agent's routed network path, with signed receipts configured where you need them.

Run both

A platform for the estate, a firewall on the hosts that need a boundary you can prove. The platform reports; the firewall receipts.

Want the runtime boundary, not just another checklist?

The short version

An AI security platform is a bundle. The current product pages describe some mix of AI asset discovery, posture management, a gateway, runtime defense, red teaming, model scanning, and compliance reporting, sold as one enterprise product.

An agent firewall is one control. Pipelock sits on the agent’s routed network path, inspects HTTP, WebSocket, and MCP traffic, and blocks configured unsafe findings. With a signing key configured, it can emit signed action receipts for mediated decisions that verify offline against the operator’s key.

The platform question is about shape, not quality. Broad and managed, or narrow and verifiable.

How the platforms describe themselves

Prisma AIRS from Palo Alto Networks lists six components: AI Gateway, Agent Security, AI Red Teaming, AI Runtime Security, AI Model Security, and AI Posture Management. Compared in depth on Pipelock vs Prisma AIRS.

Noma Security positions a unified platform for end-to-end AI security, with offerings for the agents employees use on endpoints, agents running on SaaS platforms, and homegrown agents.

NeuralTrust lists TrustGuard for agent runtime security, TrustGate as an agent gateway that connects agents to models and tools, and agent posture management.

WitnessAI positions an AI security and governance platform: shadow AI discovery, an inventory of applications, MCP servers, and agents, and runtime defense for models, applications, and agents.

Runlayer and Backslash Security are control planes aimed at MCP access and developer endpoints, compared in depth on their own pages.

What a platform gives you that a firewall doesn’t

Discovery and inventory. Which agents, MCP servers, and AI applications exist across the organization. A firewall sees only the traffic routed through it.

Posture and reporting. Dashboards, compliance reports, and a vendor to hand an auditor. Pipelock maps its controls to OWASP, NIST 800-53, and the EU AI Act, and can emit signed receipts when configured, but it is not a reporting product.

Red teaming and model scanning. Platform components that test agents and models before and during deployment. Out of a firewall’s scope.

One contract. Procurement, support, and a named vendor behind everything.

What a firewall gives you that a platform doesn’t

Rules you can read. Every pattern and normalization pass is in a public repository. None of the platform pages read for this comparison publishes its detection logic.

A boundary you can run anywhere. One binary next to any agent, on a laptop, a CI runner, or a server, with no vendor service in the path.

Evidence a third party can check. With a signing key and allow-path receipt enforcement configured, Pipelock refuses to forward an allowed mediated request whose signed receipt cannot be emitted. The verifier checks signed receipts offline against a published key. The platform pages read for this comparison describe audit trails and reporting; they do not document a receipt format, a verifier, or a published key.

A fail-closed default you can inspect. A timeout or parse failure on a mediated path blocks the request. With a signing key configured, block decisions produce signed receipts.

Side-by-side

AI security platformAgent firewall
ShapeBundle of discovery, posture, gateway, runtime, red teaming, reportingOne control on the agent’s network path
Buying motionProcurement and contractDownload and run; paid tiers for coordination and fleet
Detection logicNot published on the pages readOpen source
EvidenceVendor dashboards and audit trailsSigned receipts when configured, verifiable offline
Runs without the vendorVaries: NeuralTrust documents a data plane that runs in your VPC or on-prem with a control plane in its cloud or yours; the other pages read do not document a vendor-free modeYes
Covers the whole estateThat is the pitchOnly what is routed through it

How to use both

A platform for the estate and a firewall where a provable boundary matters. The two do not compete on the wire. The platform tells you what exists and how it is doing; the firewall reads traffic a specific agent routes through it and can emit signed receipts when configured. Teams that need a receipt an outsider can verify can put the firewall on those hosts alongside other controls.

Further reading

Sources checked

Third-party descriptions on this page come from the public materials below, read on the dates shown. Features and pricing change; check the current documentation before you decide.

  • Prisma AIRS product page checked 2026-09-01 · six components: AI Gateway, Agent Security, AI Red Teaming, AI Runtime Security, AI Model Security, AI Posture Management
  • Noma Security checked 2026-09-01 · positions a unified platform for end-to-end AI security with offerings for endpoint agents, SaaS agents, and homegrown agents
  • NeuralTrust checked 2026-09-01 · lists TrustGuard agent runtime security, a TrustGate agent gateway, and agent posture management
  • WitnessAI checked 2026-09-01 · positions an AI security and governance platform with shadow AI discovery, an inventory of applications, MCP servers, and agents, and runtime defense
  • Runlayer checked 2026-09-01
  • Backslash Security checked 2026-09-01

Third-party product names and marks belong to their owners. PipeLab is not affiliated with, sponsored by, or endorsed by the makers of any product compared on this page. Descriptions of other products come from their own public materials on the dates listed above and reflect PipeLab's reading of them. If something here is wrong or out of date, tell us and it will be corrected.

Frequently asked questions

What's the difference between an agent firewall and an AI security platform?
A platform bundles several controls, discovery, posture, a gateway, runtime defense, red teaming, and reporting, into one vendor product sold through procurement. An agent firewall is one focused control on the agent’s routed network path that inspects traffic. With a signing key configured, Pipelock can emit signed action receipts for mediated decisions. The platform is broad and managed. The firewall is narrow, readable, and self-hosted.
Do platforms include an agent firewall?
Several list a gateway or runtime-defense component that sits on some traffic. The pages read for this comparison describe the component but do not publish its rules, a receipt format, or a verifier a third party can run. Whether a given platform’s runtime piece inspects the same surfaces as an agent firewall is a question for its documentation, not its homepage.
Which vendors are on this page and why only these?
The ones whose public pages were read for this comparison: Prisma AIRS, Noma, NeuralTrust, WitnessAI, Runlayer, and Backslash. Other products are not described here unless their public materials were read for this page.

Want the runtime boundary, not just another checklist?

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