Lakera Alternatives: Firewall, Tool Permissions and Audit in One Plane
Lakera is strong at prompt-injection guardrails. Agentshield is the alternative for teams that also need tool and data permissions, monitoring, and a full audit trail in one plane.
Direct answer
A Lakera alternative is a tool that protects AI agents without limiting you to prompt-injection guardrails alone. Agentshield is a runtime control plane that blocks prompt injection and also enforces tool and data permissions, monitors every action, gates high-risk actions for human approval, and writes an immutable audit trail. It is stack-neutral across OpenAI, Anthropic, LangChain, CrewAI, and MCP, with prices on the page rather than a sales call.
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Where Lakera is strong
Lakera is a well-regarded choice for LLM input and output guardrails, particularly prompt-injection detection, and many teams adopt it for that specific slice.
Where Agentshield is the alternative
Agentshield combines a prompt-injection firewall with least-privilege tool and data permissions, real-time monitoring, human-approval gates, and an immutable audit trail in a single runtime control plane, so you do not bolt together separate tools to govern an agent. Pricing is transparent and self-serve.
Side by side
Agentshield vs Lakera, honestly.
| Dimension | Agentshield | Lakera |
|---|---|---|
| Prompt-injection firewall | Runtime prompt-injection detection on every untrusted input. | Strong prompt-injection and content guardrails. |
| Tool and data permissions | Least-privilege permissions enforced at the action boundary. | Focused on input and output guardrails rather than tool access control. |
| Monitoring and audit | Real-time monitoring plus an immutable audit trail of every action. | Logging around its guardrail decisions. |
| Human approval gates | Built-in human-in-the-loop gates for high-risk actions. | Not the core focus of the product. |
| Pricing | Transparent, self-serve prices on the page. | Mix of self-serve and sales-led depending on scale. |
Comparison reflects our understanding of publicly available information and is meant to be fair. Vendors evolve; verify the latest before deciding.
Lakera is now part of Check Point
A material update for 2026: Check Point acquired Lakera in a deal announced in September 2025, reported around 300 million dollars and closing in the fourth quarter of 2025. Lakera now anchors Check Point Global Center of Excellence for AI Security, and its technology is being integrated into products like CloudGuard WAF and GenAI Protect. If you evaluate Lakera today, you are increasingly evaluating the Check Point platform around it.
Lakera earned its reputation on real work. Its Gandalf project taught a generation of builders how prompt injection works, and Lakera Guard delivers strong runtime guardrails for LLM inputs and outputs, including data from RAG and MCP, while Lakera Red handles pre-deployment testing. Guardrails are genuinely their strength.
Agentshield overlaps on the injection firewall but extends past guardrails into action control: per-agent tool and data permissions, human-approval gates for destructive actions, and an immutable audit trail, all self-serve and independent of a larger security platform.
Guardrails around text versus control over actions
The clearest way to think about the difference: Lakera Guard is excellent at inspecting the text going into and out of a model, catching prompt attacks, data leakage, and content violations. That protects the conversation. It does less about what the agent then does with a tool once the text passes.
Agentshield adds the action boundary. Even when a request looks clean, an agent can still call a tool it should not, touch data outside its scope, or trigger an irreversible action. Agentshield enforces least-privilege tool and data permissions, holds refunds, deletes, and outbound sends for human approval, and records every decision. For a chat-heavy app, guardrails may be enough. For an agent that moves money or changes records, you want the action controls too.
When Check Point and Lakera is the better buy
We would rather you buy the right thing than buy from us, partly because a bad fit becomes a refund request and a bad review. There are real cases where the Check Point answer beats ours, and they follow a pattern: the more of your security estate already sits with one large vendor, the more the acquisition works in your favor.
| Situation | Better fit | Why |
|---|---|---|
| You are already a Check Point Infinity customer | Check Point and Lakera | AI security arrives as an add-on capability inside a deployment you already run, under a contract you already have. That is a genuinely shorter path than onboarding a new vendor, and no feature comparison outweighs it |
| Your risk is a chat or RAG application, not a tool-calling agent | Lakera Guard | Guardrails on model inputs and outputs are the right shape of control when the model produces text rather than actions. Buying an action-control plane for this is buying a layer you will not use |
| You need pre-deployment adversarial testing more than runtime enforcement | Lakera Red | Red teaming before release is a different discipline from blocking at runtime. We do not compete with it and would not pretend to |
| You run agents that call tools, move money or change records | Agentshield | Guardrails protect the conversation. The exposure here is what executes afterward, which needs per-agent permission scopes and approval gates at the action boundary |
| You run several frameworks and need one audit record across all of them | Agentshield | An independent control point produces one trail across Claude, OpenAI, LangChain and custom agents, rather than logs shaped around one vendor platform |
Three of five rows favor them, which is roughly what we would expect. Their reach and platform integration are real advantages that a focused product does not have. Ours is that the control lives at the action boundary and stays independent of any one security suite. If you want the wider market picture before shortlisting anyone, our writeup of AI agent security companies covers who genuinely does what, and Prompt Security alternatives covers the closest parallel case of a strong point product absorbed into a platform.
FAQ
Common questions.
Was Lakera acquired?
Yes. Check Point Software announced the acquisition of Lakera in September 2025, in a deal reported at roughly 300 million dollars, expected to close in the fourth quarter of 2025. Lakera now forms the foundation of Check Point Global Center of Excellence for AI Security and is being integrated across the Check Point platform.
Who are Lakera AI competitors?
The closest Lakera AI competitors sit in prompt-injection guardrails: Lasso Security, Prompt Security, Robust Intelligence and Prisma AIRS, which now carries the former Protect AI products. Most have been acquired, so you are increasingly comparing platform suites rather than point tools. We publish honest comparisons for each, including where they beat us.
What is the difference between Agentshield and Lakera?
Scope. Lakera, especially Lakera Guard, is strong at LLM guardrails: inspecting model inputs and outputs for prompt injection, data leakage, and content issues. Agentshield adds control over what the agent does after the text passes, with least-privilege tool and data permissions, human-approval gates, monitoring, and an immutable audit trail in one runtime plane.
What is Lakera Guard?
Lakera Guard is Lakera runtime protection for LLM applications. It enforces guardrails against prompt attacks, data leakage, and content violations across model inputs, outputs, and data flowing through RAG and MCP. It pairs with Lakera Red, which handles pre-deployment red-team assessment. Both are now part of Check Point.
Do I need Lakera and Agentshield?
Some teams run both, using guardrails on the model conversation and Agentshield on the action path. If you are choosing one, pick by risk: for a chat-focused app, guardrails may suffice; for an agent that calls tools and takes irreversible actions, Agentshield adds the tool permissions, approval gates, and audit trail that guardrails alone do not provide.
What are the best Lakera alternatives in 2026?
It depends which half of the problem you have. For guardrails on model inputs and outputs, the closest comparables are Prompt Security, now part of SentinelOne, and Prisma AIRS from Palo Alto. For control over what an agent actually does with tools and data, the comparison set is Agentshield, Zenity and Lasso Security. Shortlist by whether your exposure is text or actions, not by feature count.
Is Lakera still available after the Check Point acquisition?
Yes. Lakera Guard and Lakera Red remain available, the platform stays API-based and cloud-delivered with on-premise options, and Lakera Zurich became Check Point global research and development center for AI security. The practical change for buyers is commercial rather than technical: expect the AI security capability to be positioned as an add-on inside Check Point deployments.