Enterprise-Grade Automated Red Teaming for LLMs
Manual red teaming is slow and other automated tools lack depth. Mend AI continuously stress-tests your conversational models in real time.
Revolutionize your AI security strategy
Not testing is too risky. Manual testing is too slow. Secure your LLMs continuously and proactively.
Simulate real-world AI attacks—automatically
Conversational models are uniquely vulnerable to exploits like prompt injection, model poisoning, and jailbreaks. Mend AI continuously attacks your models just like real-world adversaries, exposing hidden weaknesses before attackers find them.
No consultants. Just instant AI security
Traditional AI red teaming is slow, expensive, and manual. Mend AI runs fast, automated, and repeatable security tests that scale effortlessly across all your AI models and deployments.
Go beyond traditional security testing
LLMs introduce risks that don’t show up in traditional security scans. Mend AI tests the behavior of your models against dozens of issues like bias exploitation, hallucinations, data leakage, overreliance on external inputs, and more threats unique to AI models.
Full-stack AI security: development to deployment
AI security doesn’t start at testing—it starts at coding. Mend AI helps teams identify all AI components in your software, assess risks, and enforce security policies before deployment. Built for both security teams and developers, it ensures AI security is integrated from day one.
“One of our most indicative KPIs is the amount of time for us to remediate vulnerabilities and also the amount of time developers spend fixing vulnerabilities in our code base, which has reduced significantly. We’re talking about at least 80% reduction in time.”
“Mend.io is a great fit for enterprises that need an all-in-one solution for security, license, and operational risk as well as supporting services.”
“When the product you sell is an application you develop, your teams need to be fast, secure and compliant. These three factors often work in opposite directions. Mend provides the opportunity to align these often competing factors, providing Vonage with an advantage in a very competitive marketplace.”
“Mend.io’s new pricing strategy is a strength: It offers one price for all products and services, including SCA, dependency updates, SAST, container security, and AI security, and it reflects the vision that customers need a holistic view of the application stack.”
“The biggest value we get out of Mend is the fast feedback loop, which enables our developers to respond rapidly to any vulnerability or license issues. When a vulnerability or a license is disregarded or blocked, and there is a policy violation, they get the feedback directly.”
Frequently asked questions
What is AI red teaming, and why does it matter?
AI red teaming is the process of simulating real-world adversarial attacks to uncover vulnerabilities in AI models before they can be exploited.
Traditional security tools can’t detect AI-specific threats like prompt injection, data leakage, model poisoning, and adversarial manipulation.
Mend AI automates AI red teaming, allowing organizations to continuously test and strengthen their AI-powered applications.
Why do AI powered applications need red teaming?
AI models don’t behave like traditional software—they generate unpredictable responses, learn from inputs, and are vulnerable to manipulation. Without AI red teaming, organizations risk deploying conversational models that leak sensitive data, spread misinformation, or get exploited by adversaries. Mend AI helps teams proactively find and fix these weaknesses before attackers do.
How is Mend AI’s red teaming different from manual AI security testing?
Manual AI red teaming is slow, expensive, and resource-heavy, often requiring specialized consultants.
Mend AI automates this process, enabling teams to:
1) Continuously test AI security without delays
2) Simulate real-world adversarial attacks at scale
3) Run customizable, repeatable tests for evolving AI threats
By automating AI red teaming, Mend AI makes AI security scalable, cost-effective, and accessible to security and development teams.
What types of attacks does Mend AI red teaming simulate?
Mend AI runs dozens of adversarial tests that replicate real-world attack techniques, ensuring your AI-powered applications are resilient before deployment.
Here are a few examples:
* Prompt Injection – Manipulating AI responses by altering input prompts
* Data Leakage – Extracting sensitive training data from AI outputs
* Model Jailbreaking – Bypassing safeguards to force unintended behavior
* Model Poisoning – Injecting malicious data to manipulate AI decision-making
* Context Leakage – AI unintentionally revealing confidential information
Does Mend AI Red Teaming work with any AI models?
Mend AI red-teaming is only relevant for conversational models.
How can I see Mend AI red teaming in action?
Request a demo to see how Mend AI automates adversarial testing, detects AI vulnerabilities, and strengthens AI powered applications before deployment.
Get started
Test Your AI Security—Before Attackers Do
Mend AI Red Teaming automates adversarial testing, simulating real-world attacks to uncover weaknesses before deployment.
See how automated AI red teaming strengthens your security strategy. Request a demo today and start securing your AI models, agents, and RAGs at scale.
Here’s what you can expect after filling out the form:
- An expert on our team will reach out to you
- We will schedule a quick discovery call on your use cases
- We will then schedule a customized demo for you
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