The 5 Best Lakera Alternatives for AI Security in 2025

It feels like every team is racing to deploy generative AI, and it makes sense. The potential is massive. But, let’s be honest, so are the risks. We’re seeing a whole new breed of threats like prompt injection, data leakage, and weirdly malicious outputs that traditional security tools just weren’t built to handle.

Lakera has quickly become a big name in this new world of AI security, offering tools to shield large language model (LLM) applications from harm. But it isn’t the only option out there. Depending on what you’re trying to protect, the model itself or the entire customer-facing process it powers, you might need a completely different tool for the job.

That’s why we put together this list of the best Lakera alternatives for 2025. We’ll get into what each tool does best, who it’s for, and what it costs, so you can find the right one for your team.

What is Lakera AI?

At its core, Lakera is an AI-native security platform designed to defend LLM applications from a laundry list of new threats. The main idea is to place it between your users and your AI model, where it acts as a kind of digital bodyguard.

It really does two main things:

• Lakera Guard: This is the real-time protection piece. It works in the background to block things like prompt injections, stop sensitive data from leaking out, and prevent the AI from generating harmful content.

• Lakera Red: This is an AI red teaming tool. It basically simulates attacks on your application to help you find and patch up weak spots before it goes live.

Lakera is pretty popular for its developer-first approach, promising an easy setup with just a single line of code. But as teams start to use it more seriously, some find they need to look for alternatives. Digging into user reviews and technical discussions, you see a few common themes pop up. The platform can get complicated for less technical folks, performance can sometimes lag with really long or complex prompts, and the pricing doesn’t always click for every type of business. This often leads people to look for a solution that gives them more control, clearer pricing, or just a better fit for their specific needs.

Our criteria for picking the best Lakera alternatives

Let’s be real: the "best" security tool depends entirely on what problem you’re trying to solve. Are you worried about hackers trying to jailbreak your model? Or is your bigger fear an AI support agent cheerfully giving a customer the wrong shipping address? To build this list, we focused on what really counts when you’re putting AI to work in a real business.

Here’s what we looked for:

• Core security focus: How well does it handle the big GenAI threats? We’re talking prompt injection, data leaks, and stopping the AI from saying something that’s off-brand or just plain wrong.

• Ease of use: How quickly can you get it working? We gave extra points to tools that are genuinely self-serve and don’t require a month of meetings with a sales team to get started.

• Control and customization: Can you fine-tune how it works? You should be able to decide exactly what the AI can do, what knowledge it should use, and how it behaves in different scenarios.

• Transparent pricing: Is the cost clear and predictable? We looked for simple pricing models without sneaky per-resolution fees that end up penalizing you for being successful.

Top 5 Lakera alternatives at a glance

Feature	eesel AI	Repello AI	Protect AI	CalypsoAI	HiddenLayer
Best For	Secure AI support workflows	Automated red teaming	End-to-end AI lifecycle security	Enterprise governance & compliance	Real-time adversarial defense
Core Focus	Application & Workflow Security	Adversarial Attack Simulation	AI/ML Supply Chain Security	Adaptive AI Security Framework	Real-Time Threat Detection
Self-Serve?	Yes, go live in minutes	Demo required	Demo required	Demo required	Demo required
Pricing Model	Transparent, flat-rate tiers	Contact for pricing	Contact for pricing	Custom quotes	Contact for pricing

A closer look at the top 5 Lakera alternatives

Alright, let’s get into the details of each of our top picks. We’ll explore what makes each one a solid alternative to Lakera and who would get the most out of their approach.

1. eesel AI

While Lakera acts as a firewall for your AI model, eesel AI looks at the problem differently. It’s built to secure the entire AI-powered application and the workflow it runs on.

Think of it this way: Lakera tries to stop bad inputs from ever reaching the model. eesel AI makes sure the AI agent behaves correctly, uses the right information, and takes the proper actions within the tools you already use, like your helpdesk. This makes it a great choice for anyone using AI in a customer-facing role where mistakes can be costly.

Pros:

• Surprisingly simple setup: You can actually get this up and running in minutes. It has one-click integrations with helpdesks like Zendesk and Freshdesk, and you can configure it all yourself without having to talk to a salesperson.

• Total workflow control: You get to define exactly which support tickets the AI should handle. You can start small and have it escalate everything else, or build out complex rules. It also lets you customize the AI’s personality and create custom actions, like looking up order info from Shopify or creating a ticket in Jira.

A screenshot showing how eesel AI allows users to define specific rules and guardrails for their AI agent.

• Risk-free simulation: Before the AI ever speaks to a real customer, you can test it on thousands of your past tickets. This gives you a surprisingly accurate forecast of how it will perform and what your ROI will look like.

A look at eesel AI's simulation mode, which forecasts performance based on historical data.

• Transparent pricing: The plans are straightforward and based on usage, with no hidden per-resolution fees. You can start on a monthly plan and cancel anytime, which is a level of flexibility that’s rare with enterprise-grade tools.

Cons:

• It’s designed specifically for customer service, ITSM, and internal support, so it’s not a general-purpose firewall for any AI model.

• While most actions are no-code, setting up more advanced API calls might require someone with a bit of technical know-how.

Pricing:

eesel AI’s pricing is easy to understand. The Team plan starts at $299/month for up to 1,000 AI interactions. The Business plan is $799/month and unlocks key features like training on past tickets and custom AI Actions for up to 3,000 interactions. All plans come with the full suite of products, including the AI Agent, Copilot, and Chatbot.

An overview of eesel AI's transparent pricing tiers.

Best for: Businesses that want to safely use AI in customer-facing roles by controlling the entire workflow, not just defending against model-level attacks.

2. Repello AI

If your main concern is finding and fixing vulnerabilities before they become a problem, Repello AI is a strong contender. Its biggest strength is its advanced Red Teaming Engine, which is constantly simulating real-world attacks to see how well your AI models hold up, before a real attacker gets the chance.

Pros:

• Its library of attacks is always being updated with the latest adversarial tactics, which helps you stay one step ahead of new threats.

• It produces clear, actionable reports that help your team quickly find and fix any weak spots.

• The platform is designed to be easy to get started with, letting you integrate and start testing your AI models without a lot of hassle.

Cons:

• It’s more focused on testing and validation before and during deployment, rather than offering real-time protection once your app is live.

• The lack of public pricing means you have to schedule a demo and go through a sales process to get started, which can slow you down.

Pricing:

Repello AI’s pricing isn’t on their website. You’ll have to get in touch with their sales team for a custom quote. This is pretty common for enterprise security tools, but it can be a pain for teams that want to move fast or easily compare costs.

Best for: Security-focused organizations that need to rigorously stress-test their AI models against the most sophisticated and up-to-date attack methods.

3. Protect AI

Protect AI offers a wide-ranging platform built to secure AI systems from the moment you pick a model all the way through deployment and beyond. It gives you a bird’s-eye view of your entire AI/ML supply chain, making it a good fit for organizations with complex, multi-stage development processes.

Pros:

• Its AI Security Posture Management (AI-SPM) gives you continuous monitoring across your entire AI landscape.

• It helps you make sure your AI systems are meeting industry and regulatory compliance standards.

• The platform offers deep visibility into your AI model dependencies, datasets, and potential risks hiding in your supply chain.

Cons:

• Getting it set up across a large, complex organization can be a pretty big project.

• Like some others in this space, you have to request a demo to see the product and find out what it costs.

Pricing:

Protect AI doesn’t publish its pricing. You have to request a demo and chat with their sales team to get a quote based on your organization’s needs.

Best for: Large companies that need a complete security solution to manage risk across their entire AI development and operational lifecycle.

4. CalypsoAI

CalypsoAI is another enterprise-focused alternative that really stands out when it comes to AI security, governance, and compliance. Its Moderator product is designed to give large organizations full auditability and tight control over how their employees use LLMs, ensuring that sensitive data is kept safe and that AI usage follows company policy.

Pros:

• It has strong data loss prevention (DLP) features that can automatically spot and block sensitive information like source code or PII.

• It provides detailed audit trails of all LLM interactions, which is essential for compliance in regulated industries like finance or healthcare.

• It’s model-agnostic, meaning it can work with a variety of different LLMs.

Cons:

• It’s built for large enterprises, which means it might be overkill (and too expensive) for smaller teams or startups.

• Its website "calypso.ai" is currently listed for sale, which might raise some questions. However, major analysts still list them as an active player in the space.

Pricing:

CalypsoAI operates on a custom pricing model for enterprises. You’ll need to contact them for a quote, as the price will depend on the size and specific needs of your organization.

Best for: Large, regulated organizations that need a robust, auditable security and governance layer to manage all enterprise AI usage and stay compliant.

5. HiddenLayer

HiddenLayer is a security platform that zones in on the real-time detection and prevention of adversarial attacks against AI models. It’s built for easy integration into existing MLOps workflows, offering a dedicated defense against sophisticated threats without adding a ton of operational work for your team.

Pros:

• It monitors models in real-time to protect against threats like model theft, data poisoning, and evasion attacks.

• It’s designed for a smooth integration process, which helps you get it deployed and see value from it faster.

• It can protect a wide range of AI models, not just LLMs but also predictive models.

Cons:

• Its main focus is on adversarial machine learning, so it might not be as complete a solution for other risks like content moderation or workflow control.

• You have to get in touch with their sales team for a demo and pricing details.

Pricing:

HiddenLayer provides custom pricing upon request. As with other enterprise solutions, you’ll need to connect with their sales team to get a quote.

Best for: Companies looking for a dedicated, real-time security solution to protect their valuable, proprietary ML models from tricky adversarial attacks.

This video explains how large language models can be coerced into revealing sensitive information, highlighting the need for robust AI security.

How to choose the right Lakera alternatives for you

The best choice really boils down to the main problem you’re trying to solve. It helps to think about two different kinds of security.

*   **Model-level security (Lakera, HiddenLayer, etc.):** This is all about [protecting the AI model itself](https://www.byteplus.com/en/topic/406066). The goal is to stop prompt injections, jailbreaks, and other direct attacks that try to trick or compromise the model. The main risk it’s designed to stop is a malicious actor trying to manipulate your AI.  

*   **Application-level security (eesel AI):** This focuses on making sure the entire [AI-powered workflow](https://www.eesel.ai/blog/how-to-automate-your-customer-support-workflow-using-ai) is safe, reliable, and under your control. It ensures the AI gives the right answers based on approved knowledge and takes the correct actions within your business systems. The main risk it’s designed to stop is the AI confidently giving a customer the wrong answer or failing to follow an important business process.  

So, ask yourself: what’s the bigger risk for my business? A hacker trying to break the model, or an AI agent giving a customer a 50% discount it wasn’t supposed to? Your answer will probably point you toward the right tool.

Secure your AI support with confidence

While many security tools focus on building a wall to block external threats, real AI security also comes from building reliable and controllable applications. It’s not just about stopping attacks; it’s about making sure your AI consistently does the right thing for your customers and your business.

For teams using AI in customer support, eesel AI offers a solution built around application-level security and control. You can get started in minutes, keep total command over what your AI says and does, and test everything in a risk-free simulation environment before it ever interacts with a single customer.

See for yourself how easy it can be to build secure and effective AI support workflows. Start a free trial of eesel AI and run a simulation on your own ticket data today.