Compare
AxioRank vs Lakera
An AI-native detection and guardrails layer that screens LLM and agent inputs and outputs in real time for prompt injection, data leakage, and content threats, backed by the Gandalf red-teaming research platform.
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 Lakera is for
Teams that want best-in-class detection of prompt injection, PII, and content threats in front of their LLMs and agents, plus pre-deployment red teaming, delivered as a low-latency API.
Visit LakeraThe honest verdict
Lakera and AxioRank both inspect content inline for prompt injection and sensitive data, and both want to stop a bad action before it lands. The difference is what each is built to do. Lakera is a leading detection and red-teaming company: its Guard API screens inputs and outputs in real time across many languages, it intercepts unsafe tool calls, and its models are sharpened daily by adversarial data from the Gandalf platform. It is now part of Check Point. AxioRank is an inline control plane that issues the agent a short-lived identity of its own, decides allow, deny, or hold on every tool 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 want the strongest content-threat detection and a way to red-team your agents before they ship, Lakera 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. The two sit at different layers and many teams run both.
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 | Lakera |
|---|---|---|
| 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
Catch the injection, then decide and prove it
Lakera sits inline as a detection layer: it screens the prompt and the response, and it intercepts unsafe tool calls before they execute. AxioRank sits inline on the same path 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 inputs and outputs for prompt injection, PII, and secrets, and Lakera does this well across many languages. 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 flagging a message to tracking the chain
Lakera scans retrieved content, attachments, and URLs for indirect prompt injection, which catches the poisoned input. 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.
When risk spikes
Decide what happens next, then prove it happened
Flagging a payload stops it in the moment, and Lakera returns a decision with reasons you can log. AxioRank also lets you wire what happens after: quarantine the agent, revoke its keys, alert a channel, or open a ticket, in monitor mode first and then armed. Every action it takes is written to the same tamper-evident log as the call that triggered it, and an auditor can verify it offline. Build a response rule and replay a stream of events against it.18
Build a response rule and replay events through it.
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 call a guardrail API like Lakera on your prompts and responses, 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 Lakera for 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 detection layer 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 Lakera fits better
A comparison is only useful if it is honest. Here is where Lakera is the stronger choice.
Lakera is a purpose-built detection layer with low latency, reporting sub-50 ms runtime latency while screening across many languages.11
Lakera's detection models are sharpened by adversarial data from Gandalf, its public red-teaming game.12
Lakera does pre-deployment red teaming with Lakera Red and Gandalf Agent Breaker, which AxioRank does not. AxioRank is a runtime control plane and does not run offensive red-teaming.13
Lakera publishes a free Community tier, so an individual developer can start evaluating detection without a credit card.14
FAQ
Common questions
Is AxioRank a replacement for Lakera?
Not exactly. Lakera is a detection and guardrails layer, plus pre-deployment red teaming, that screens prompts and responses for injection, PII, and content threats. AxioRank is an inline control plane focused on agent identity, per-call policy, and provable evidence. The two sit at different layers, and many teams run Lakera for detection alongside AxioRank for enforcement and a tamper-evident trail.
Lakera already detects prompt injection and PII. Why add AxioRank?
For identity, policy, and proof. Lakera's detection is a genuine strength. 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 without trusting AxioRank.
Where is AxioRank genuinely different?
In what it can prove. 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 Lakera as of June 2026.
Can I run AxioRank alongside Lakera?
Yes. They operate at different layers, so you can keep Lakera screening content and route agent tool calls through AxioRank for identity, policy, and receipts. Start with a single agent and leave your Lakera 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.
- 1Lakera gives runtime visibility into agent usage and MCP-connected systems. Minting the agent its own short-lived workload identity token is a different model that is not described in its public materials. Lakera AI Agent Security page(verified 2026-06-12)
- 2Lakera intercepts tool calls and blocks unsafe actions inline before they execute. It governs by content and threat safety rather than per-agent, per-tool allow and deny rules. Lakera AI Agent Security page(verified 2026-06-12)
- 3Lakera screens LLM inputs and outputs, including tool calls and tool-role messages, for prompt injection, PII, content violations, and malicious links across many languages. Lakera data leakage prevention docs(verified 2026-06-12)
- 4Lakera scans retrieved content, attachments, and URLs for indirect prompt injection. A formal information-flow-control or taint-provenance model across a sequence of tool calls is not described in its public materials. Lakera on indirect prompt injection(verified 2026-06-12)
- 5Lakera returns flagging decisions with reasons you can log and provides runtime visibility. A cryptographically tamper-evident audit log is not described in its public materials as of June 2026. Lakera AI Agent Security page(verified 2026-06-12)
- 6An offline, independently verifiable audit verifier is not described in Lakera's public materials as of June 2026. Lakera AI Agent Security page(verified 2026-06-12)
- 7Lakera returns allow, block, or sanitize decisions automatically. A human approval that carries the approver's own cryptographic signature is not described in its public materials. Lakera AI Agent Security page(verified 2026-06-12)
- 8Lakera continuously updates its detection models from adversarial data, including tens of millions of attack data points collected through its Gandalf red-teaming platform. This is centralized model training rather than an opt-in, k-anonymous cross-tenant feed. Lakera (Gandalf) about page(verified 2026-06-12)
- 9A public MCP tool-definition transparency log is not described in Lakera's public materials as of June 2026. Lakera AI Agent Security page(verified 2026-06-12)
- 10A published protocol coverage tracker is not described in Lakera's public materials as of June 2026. Lakera AI Agent Security page(verified 2026-06-12)
- 11Lakera reports delivering sub-50 ms runtime latency while inspecting inputs and outputs for prompt injection, jailbreaks, and indirect attacks. Lakera AI Agent Security page(verified 2026-06-12)
- 12Gandalf has been played by millions of people across thousands of organizations, and the attacks it surfaces continuously inform Lakera's threat protection. Lakera (Gandalf) about page(verified 2026-06-12)
- 13Lakera combines real-time protection with continuous attack testing through red teaming, offering pre-deployment assessment alongside runtime enforcement. Check Point acquisition of Lakera, 2025(verified 2026-06-12)
- 14Lakera lists a free Community tier with a monthly request allowance aimed at individual developers and small teams evaluating the platform. Lakera Guard pricing(verified 2026-06-12)
- 15Lakera inspects what goes in, controls what comes out, and intercepts tool calls before unsafe actions execute. Lakera AI Agent Security page(verified 2026-06-12)
- 16Lakera screens LLM inputs and outputs for personally identifiable information and prevents system prompt leakage. Lakera data leakage prevention docs(verified 2026-06-12)
- 17Lakera scans fetched content, attachments, and URLs for embedded or indirect instructions that drive prompt injection. Lakera on indirect prompt injection(verified 2026-06-12)
- 18Lakera returns allow, block, or sanitize decisions with reasons you can log. Lakera AI Agent Security page(verified 2026-06-12)
- 19Lakera publishes a free Community tier with a monthly request allowance and EU-hosted SaaS, with custom Enterprise pricing on request that adds self-hosted and on-premises deployment. Lakera is now part of Check Point. Lakera Guard pricing(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.