Compare
AxioRank vs Protect AI
A broad Security for AI platform spanning model scanning, AI red teaming, and runtime protection. It is now part of Palo Alto Networks and a cornerstone of Prisma AIRS.
A fair, sourced comparison. Every competitor claim links to a public source.
Documented capabilities
Of the ten control-plane capabilities compared.
Last reviewed 2026-06-12
At a glance
The short version
Who Protect AI is for
Teams that want a single platform covering the AI lifecycle, from scanning models for malware to red teaming applications and protecting them at runtime, now delivered through Palo Alto Networks Prisma AIRS.
Visit Protect AIThe honest verdict
Protect AI and AxioRank both want to secure AI, but they cover different parts of the lifecycle. Protect AI is a broad Security for AI platform: Guardian scans models for malware and backdoors, Recon red-teams AI apps against hundreds of known attacks, and Layer protects applications at runtime. It is now part of Palo Alto Networks and a cornerstone of Prisma AIRS. AxioRank is an inline control plane focused on the agent's tool calls: it issues the agent a short-lived identity of its own, decides allow, deny, or hold on every call against your policy, tracks how a sequence of calls composes into an attack, and writes a tamper-evident, offline-verifiable receipt for each action. If you need model scanning, pre-deployment red teaming, and a broad platform, Protect AI is an excellent fit. If you need provable evidence of every agent action and identity that an auditor can check independently, that is where AxioRank is built to win. Many teams run model-supply-chain security and a runtime control plane together.
Capability matrix
Capability by capability
The same ten control-plane capabilities, scored for each side. Competitor cells link to the public source behind them. AxioRank cells link to something you can verify yourself.
| Capability | AxioRank | Protect AI |
|---|---|---|
| Agent identity (short-lived tokens) | Identity | Not documented1 |
| Inline tool-call policy enforcement | Policy engine | |
| Payload and output content inspection | Content inspection | |
| Runtime integrity information-flow control | Provable security | |
| Tamper-evident audit and per-action receipts | Verify our log | Not documented5 |
| Offline-verifiable, open-source verifier | Audit integrity | Not documented6 |
| Human approval with the approver's own signature | Approvals | Not documented7 |
| Opt-in cross-tenant threat intel (k of 5 floor) | Detection intelligence | |
| Public MCP tool-definition transparency log | Tool transparency log | Not documented9 |
| Published protocol coverage tracker | Protocols | Not documented10 |
On the hot path
Protect the app, then decide the call and prove it
Protect AI Layer protects applications at runtime with deep visibility and control. AxioRank sits inline on the agent's tool calls and goes one step earlier and one step later. It issues the agent a short-lived identity of its own, decides allow, deny, or hold on every tool call against your policy while it scores the payload, and writes a receipt for the decision. Walk a real call through the gateway below and watch each stage make its decision.15
A real tool call moving through the AxioRank gateway, stage by stage.
Content inspection
What the detectors see, and what gets stored
Both products inspect AI interactions for injection, secrets, and PII at runtime. AxioRank runs its own detectors inline, then redacts sensitive values before they are written to the audit record, so the evidence trail never becomes a second copy of your secrets. Paste a payload and see exactly what AxioRank flags and what it would store.16
The real detectors, running in your browser. Toggle what gets stored.
Beyond a single payload
From a single threat to the whole chain
Protect AI catches threats at runtime and red-teams apps before they ship. AxioRank tracks how a whole sequence of calls composes into an attack: read a secret, then exfiltrate it; list a table, then delete it. Build a sequence of agent actions and watch the kill-chain detector fire on the pattern, not just one risky message.17
Stack agent actions and watch the chain detector react.
Policy you can read
Turnkey policies, and per-agent, per-tool rules
Protect AI Layer ships turnkey policies backed by many security scanners to catch attacks at runtime. AxioRank lets you write the rule the other way around: per-agent and per-tool allow and deny, scoped to a short-lived identity and evaluated on every call. Build a policy below and watch it decide allow, deny, or hold against live traffic.18
Compose a per-agent, per-tool rule and watch it decide.
Coverage and detection
Two views of the same question
On the left, how many of the ten capabilities each side documents. On the right, the content detectors AxioRank runs on every payload, by category.
Each cell is sourced. “Not documented” means we could not find the capability in public materials as of 2026-06-12, which is not the same as the vendor lacking it.
AxioRank content detectors by category
31 detectors run on every tool call, before a decision is made.
Browse the full detector library and see what fires on a sample payload.
Switching
Moving onto AxioRank
If you already run Protect AI to scan models and protect apps at runtime, AxioRank slots in at the tool-call layer without replacing it. Route an agent through AxioRank as an inline gateway or an SDK adapter, keep Protect AI for model scanning and runtime detection, and let AxioRank add identity, per-call policy, and provable evidence. Most teams run the two side by side.
- 01
Point one agent at the gateway
Drop in an SDK adapter or set AxioRank as the agent's MCP endpoint. Your existing AI security platform stays where it is.
- 02
Run in monitor mode
Watch decisions, signals, and receipts accrue with nothing blocked, so you can tune policy against real traffic.
- 03
Arm policy and response
Turn on deny and hold, then wire automated responses. Every action is written to the tamper-evident log.
- 04
Hand an auditor the receipts
Export per-action receipts and verify them offline with the open-source verifier, independent of AxioRank.
A fair shake
Where Protect AI fits better
A comparison is only useful if it is honest. Here is where Protect AI is the stronger choice.
Protect AI Guardian scans models for malware, deserialization exploits, and architectural backdoors across major model formats, a model-supply-chain capability AxioRank does not provide.11
Protect AI Recon red-teams AI applications against a library of more than 450 known attacks, which AxioRank does not. AxioRank is a runtime control plane and does not run offensive red teaming.12
Protect AI covers the AI lifecycle on one platform, from model selection and testing through to runtime, broader than AxioRank's focus on the agent's tool calls.13
Protect AI is now part of Palo Alto Networks and a cornerstone of Prisma AIRS, with the reach of a large security platform. AxioRank is an independent runtime control plane.14
FAQ
Common questions
Is AxioRank a replacement for Protect AI?
Not exactly. Protect AI is a broad Security for AI platform covering model scanning, red teaming, and runtime protection, now part of Palo Alto Networks Prisma AIRS. AxioRank is an inline control plane focused on agent identity, per-call policy, and provable evidence. The two cover different parts of the lifecycle, and many teams run Protect AI for model and app security alongside AxioRank for tool-call enforcement and a tamper-evident trail.
Protect AI already scans models and protects apps. Why add AxioRank?
For identity, policy, and proof at the tool-call layer. Protect AI's model scanning and red teaming are genuine strengths AxioRank does not try to match. AxioRank adds a short-lived identity minted for the agent, per-tool allow and deny rules, information-flow control across a sequence of calls, and a tamper-evident receipt for every action that an auditor can verify offline.
Where is AxioRank genuinely different?
In what it can prove about the agent's actions. AxioRank writes each agent action to a tamper-evident, RFC 6962 style log and signs an offline-verifiable receipt for it. A public tool-definition transparency log and a published protocol coverage tracker are not features we found documented for Protect AI as of June 2026.
Can I run AxioRank alongside Protect AI?
Yes. They cover different layers, so you can keep Protect AI scanning models and protecting apps and route agent tool calls through AxioRank for identity, policy, and receipts. Start with a single agent and leave your Protect AI setup in place.
Sources
Every competitor claim, cited
Capabilities are summarized from public sources as of 2026-06-12. The numbers match the citations in the matrix and the sections above.
- 1Protect AI secures AI applications across selection, testing, and runtime. Minting the agent its own short-lived workload identity token is a different model that is not described in its public materials. Protect AI platform homepage(verified 2026-06-12)
- 2Protect AI Layer enforces runtime protection with turnkey policies backed by many security scanners. It governs by content and threat scanners rather than per-agent, per-tool allow and deny rules. Protect AI Layer runtime page(verified 2026-06-12)
- 3Protect AI Layer captures the full context of AI interactions and stops AI threats at runtime with deep visibility and control. Protect AI Layer runtime page(verified 2026-06-12)
- 4Protect AI Recon tests AI apps across multiple threat vectors against a library of more than 450 known attacks, and Layer watches runtime threats. A formal information-flow-control or taint-provenance model across a sequence of tool calls is not described in its public materials. Protect AI Recon red-teaming page(verified 2026-06-12)
- 5Protect AI gives visibility and control at runtime. A cryptographically tamper-evident audit log with per-action receipts is not described in its public materials as of June 2026. Protect AI platform homepage(verified 2026-06-12)
- 6An offline, independently verifiable audit verifier is not described in Protect AI's public materials as of June 2026. Protect AI platform homepage(verified 2026-06-12)
- 7A human approval that carries the approver's own cryptographic signature is not described in Protect AI's public materials as of June 2026. Protect AI platform homepage(verified 2026-06-12)
- 8Protect AI runs a proactive AI threat-research practice and the huntr bug-bounty community, providing intelligence on AI vulnerabilities. This is centralized research rather than an opt-in, k-anonymous cross-tenant runtime feed. Protect AI threat research(verified 2026-06-12)
- 9A public, append-only MCP tool-definition transparency log is not described in Protect AI's public materials as of June 2026. Protect AI platform homepage(verified 2026-06-12)
- 10A published protocol coverage tracker is not described in Protect AI's public materials as of June 2026. Protect AI platform homepage(verified 2026-06-12)
- 11Protect AI Guardian offers a wide and deep set of model scanners, identifying deserialization, architectural backdoors, and runtime threats across major model formats. Protect AI Guardian model-scanning page(verified 2026-06-12)
- 12Protect AI Recon systematically tests and retests AI apps across multiple threat vectors against more than 450 known attacks on AI systems. Protect AI Recon red-teaming page(verified 2026-06-12)
- 13Protect AI products operate on a single platform and secure AI applications from model selection and testing to runtime and beyond. Protect AI platform homepage(verified 2026-06-12)
- 14Palo Alto Networks completed its acquisition of Protect AI, which becomes a cornerstone of Prisma AIRS. Palo Alto Networks acquisition release(verified 2026-06-12)
- 15Prisma AIRS enforces real-time safeguards to prevent manipulation, data exposure, and unsafe actions during live AI interactions. Palo Alto Networks Prisma AIRS runtime(verified 2026-06-12)
- 16Protect AI Layer captures the full context of AI interactions and stops AI threats at runtime. Protect AI Layer runtime page(verified 2026-06-12)
- 17Protect AI Recon tests AI apps across multiple threat vectors against a library of known attacks. Protect AI Recon red-teaming page(verified 2026-06-12)
- 18Protect AI Layer ships turnkey policies based on many security scanners to catch attacks at runtime. Protect AI Layer runtime page(verified 2026-06-12)
Related comparisons
See how AxioRank compares elsewhere
See it decide, then prove it
Route one agent through AxioRank in minutes. Watch it issue identity, enforce policy on every call, and write a receipt you can verify offline.