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AxioRank: the best Check Point AI Agent Security alternative
The agent security module of Check Point's AI Defense Plane, combining Lakera's detection engine and Cyata's agentic identity controls to discover agents, screen their traffic, and restrict unsafe tool use.
A fair, sourced comparison. Every competitor claim links to a public source.
Documented capabilities
Of the ten control-plane capabilities compared.
Last reviewed 2026-07-14
At a glance
The short version
Who Check Point AI Agent Security is for
Enterprises already standardized on Check Point that want one vendor to cover workforce AI usage, application guardrails, and agent runtime screening, with red teaming and ThreatCloud intelligence behind it.
Visit Check Point AI Agent SecurityThe honest verdict
Check Point AI Agent Security is the agent module of the AI Defense Plane, the unified AI security control plane Check Point launched in March 2026 on the back of its Lakera acquisition, with Cyata adding an identity control plane for agents. It discovers agents and their MCP servers, screens prompts, tool calls, and tool responses with sub-50 ms detection, and restricts tool use through allow and deny lists. For agents you build, the guardrails run as a detection layer whose verdicts your application or a partner gateway such as AWS Bedrock AgentCore enforces. AxioRank is the enforcement point itself: an inline gateway that issues each agent a short-lived identity, decides allow, deny, or hold on every tool call against your policy, and writes a tamper-evident, offline-verifiable receipt for each action. If you want a single platform from a major network security vendor with detection, red teaming, and shadow AI discovery, Check Point is a strong fit. If you need the gateway that makes and proves the per-call decision, that is what AxioRank is built for. The two can run 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 | Check Point AI Agent Security |
|---|---|---|
| Agent identity (short-lived tokens) | Identity | |
| Inline tool-call policy enforcement | Policy engine | |
| Payload and output content inspection | Content inspection | |
| Runtime integrity information-flow control | Provable security | Not documented4 |
| 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 | |
| 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 |
Who enforces the block
A verdict API needs an enforcement point
For agents you build, Check Point's guardrails run as a detection layer: the API screens the prompt, the tool call, and the response, then returns a verdict that your application acts on, or that a partner gateway such as AWS Bedrock AgentCore enforces outside the agent's reasoning loop. AxioRank collapses that split. It is the gateway on the tool-call path, so the same hop that scores the payload also enforces the decision, with allow, deny, or hold on every call and a receipt for each. Walk a real call through the gateway below and watch each stage decide.16
A real tool call moving through the AxioRank gateway, stage by stage.
Content inspection
Detection parity, then what gets stored
Both products screen agent traffic for injection, secrets, and PII, and the Lakera engine inside Check Point does that across more than 100 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.17
The real detectors, running in your browser. Toggle what gets stored.
Beyond one verdict
Track the chain, then prove the whole run
Check Point's detectors, including an off-task action detector, judge each interaction as it happens. AxioRank additionally tracks how a sequence of calls composes into an attack: read a secret, then exfiltrate it; list a table, then drop it. Evidence for the whole chain lands in one hash-chained log, so what you hand an auditor is not a SIEM export but a set of receipts that verify offline. Stack agent actions below and watch the chain detector fire on the pattern, not just one risky message.18
Stack agent actions and watch the chain detector react.
From verdict to action
Wire the response, sign the approval
When risk spikes, Check Point can block or ask the user, log the event, and export it to your SIEM. AxioRank closes the loop on the agent side: quarantine the agent, revoke its keys, hold the call for a human whose approval is signed with their own key, and write every response action to the same tamper-evident log as the call that triggered it. Build a response rule and replay a stream of events against it.19
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 2026-07-14, which is not the same as the vendor lacking it.
AxioRank content detectors by category
131 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 run Check Point across your network and workforce, keep it there. AxioRank slots in at the tool-call layer: route an agent through AxioRank as an inline gateway or an SDK adapter, keep Check Point's workforce controls and detection where they are, and let AxioRank add per-call identity, policy, and provable receipts.
- 01
Point one agent at the gateway
Drop in an SDK adapter or set AxioRank as the agent's MCP endpoint. Your Check Point estate stays untouched.
- 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, wire quarantine and key revocation, and require signed approvals for the calls that matter.
- 04
Feed your SIEM, hand over receipts
Stream events to the SIEM you already run, and give auditors per-action receipts they can verify offline with the open-source verifier.
A fair shake
Where Check Point AI Agent Security fits better
A comparison is only useful if it is honest. Here is where Check Point AI Agent Security is the stronger choice.
Check Point ships the Lakera detection engine, reporting latency under 50 ms while monitoring more than 100 languages in real time.11
Detection is fed by the Gandalf red-teaming community, which Check Point describes as the world's largest AI red team.12
AI Red Teaming is a product module with continuous adversarial testing of prompts, workflows, tool use, and agent behavior. AxioRank is a runtime control plane and does not run offensive red-teaming.13
ThreatCloud intelligence operates at network-vendor scale and feeds the entire Check Point portfolio, not just the AI products.14
Workforce endpoint reach is broad: browsers, desktop applications, IDE assistants, and MCP agents are monitored for approved and shadow AI usage.15
FAQ
Common questions
Is Check Point AI Agent Security the same thing as Lakera?
Largely, and then some. Check Point acquired Lakera in 2025 and relaunched the platform in March 2026 as the AI Defense Plane, with AI Agent Security as the agent module and Cyata adding agentic identity. The product docs still live on docs.lakera.ai under Check Point branding. We also keep a separate comparison of Lakera as the standalone detection engine.
Does AxioRank replace Check Point?
No. Check Point covers the network, workforce endpoints, and the application edge, and its agent module adds detection, discovery, and red teaming. AxioRank is the inline gateway for agent tool calls: identity, per-call policy, and tamper-evident receipts. Teams that run both keep Check Point for the estate and route agent tool traffic through AxioRank.
Who actually enforces a block on an agent's tool call?
It depends where you deploy. For workforce AI usage, Check Point enforces at the endpoint through its browser extension and desktop clients. For agents you build, its guardrails return verdicts that your application or a partner gateway such as AWS Bedrock AgentCore enforces. AxioRank is itself the enforcement point: the gateway that scores the call is the same hop that allows, denies, or holds it.
What does Check Point AI Agent Security cost?
Check Point publishes prices on AWS Marketplace: at the time of writing, AI Agent Security guardrails list at $74,000 per year for 10 million requests, AI Red Teaming at $52,000 per year for 1,000 scans, and Workforce AI Security at $100 per user per year, with private offers available. AxioRank has self-serve tiers you can start on without a sales call.
Can AxioRank prove what an agent did?
Yes, that is the core design. Every tool call gets a signed, hash-chained receipt an auditor can verify offline with an open-source verifier, without trusting AxioRank. Check Point documents event logs, audit trails, and SIEM export, and we found no tamper-evident or offline-verifiable equivalent in its public materials as of July 2026.
Sources
Every competitor claim, cited
Capabilities are summarized from public sources as of 2026-07-14. The numbers match the citations in the matrix and the sections above.
- 1Cyata, now a Check Point company, provides a control plane for agentic identity with policy guardrails, automatic shutdowns, and predefined human interventions. Issuing each agent its own short-lived credential is not described in the public materials. Cyata, a Check Point company(verified 2026-07-14)
- 2Check Point documents a tool allow and deny list and an off-task action detector for agents. For agents you build, the guardrails API returns verdicts and your application chooses how to respond, so enforcement lives in your code or in a partner gateway such as AWS Bedrock AgentCore. Check Point AI Agent Security docs(verified 2026-07-14)
- 3Check Point AI Agent Security screens prompt attacks, data leakage, content violations, and off-policy agent behavior across the agentic workflow, including tool calls, tool responses, and tool descriptions. Check Point AI Agent Security docs(verified 2026-07-14)
- 4The guardrails screen tool responses and retrieved content for injected instructions. A formal information-flow-control or taint-provenance model across a sequence of tool calls is not described in the public materials as of July 2026. Check Point AI Agent Security docs(verified 2026-07-14)
- 5The platform documents event logs, an audit trail, and SIEM export for AI and agent activity. A cryptographically tamper-evident, hash-chained audit log is not described in the public materials as of July 2026. Workforce AI Security admin guide(verified 2026-07-14)
- 6An offline, independently verifiable receipt or open-source verifier for agent actions is not described in the public materials as of July 2026. Check Point AI Defense Plane docs(verified 2026-07-14)
- 7Workforce policies can allow, ask, or block AI usage, and Cyata describes predefined human interventions for agents. A human approval that carries the approver's own cryptographic signature is not described in the public materials. Workforce AI Security admin guide(verified 2026-07-14)
- 8Check Point reports that ThreatCloud AI makes two billion security decisions daily across its portfolio, and the AI Defense Plane draws on analysis of millions of AI interactions. This is centralized vendor intelligence rather than an opt-in, k-anonymous cross-tenant feed. Check Point on ThreatCloud AI(verified 2026-07-14)
- 9A public MCP tool-definition transparency log is not described in the public materials as of July 2026. Check Point AI Defense Plane docs(verified 2026-07-14)
- 10A published protocol coverage tracker is not described in the public materials as of July 2026. Check Point AI Defense Plane docs(verified 2026-07-14)
- 11Check Point's AI security page lists more than 100 languages monitored in real time and latency under 50 ms guaranteed at runtime. Check Point AI security solutions page(verified 2026-07-14)
- 12Check Point's AI security page reports more than one million hackers continuously fueling its adversarial intelligence. Check Point AI security solutions page(verified 2026-07-14)
- 13The AI Defense Plane includes an AI Red Teaming module for continuous adversarial testing of prompts, reasoning paths, workflows, tool use, and agent behavior. AI Defense Plane launch, March 2026(verified 2026-07-14)
- 14Check Point reports ThreatCloud AI makes two billion security decisions daily using more than 40 AI and machine learning engines. Check Point on ThreatCloud AI(verified 2026-07-14)
- 15The Workforce AI Security module documents visibility into approved and shadow AI tools across web chats, desktop applications, IDE assistants, and MCP agents. Workforce AI Security admin guide(verified 2026-07-14)
- 16Check Point's detection signals feed Amazon Bedrock AgentCore policies, with the gateway making allow or deny decisions for every agent action outside the agent's reasoning loop. Bedrock AgentCore integration announcement, June 2026(verified 2026-07-14)
- 17Check Point announced its acquisition of Lakera in September 2025 to deliver end-to-end AI security for enterprises. Check Point on acquiring Lakera, September 2025(verified 2026-07-14)
- 18Check Point documents an off-task action detector and screening across the full agentic workflow, including tool calls and tool responses. Check Point AI Agent Security docs(verified 2026-07-14)
- 19Workforce AI Security policies can allow, ask, or block AI usage, with events logged for review and export to a SIEM. Workforce AI Security admin guide(verified 2026-07-14)
- 20Check Point publishes AI Defense Plane pricing on AWS Marketplace, including AI Agent Security guardrails at $74,000 per year for 10 million requests and Workforce AI Security at $100 per user per year, alongside private offers. Check Point AI Defense Plane on AWS Marketplace(verified 2026-07-14)
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.