Mend AI Native AppSec Platform:

Mend AI

Secure AI powered applications

Mend AI automates the discovery and risk assessment of AI components with prioritized remediation, enforced policy compliance, hardening of system prompts, and red teaming AI behavior unique to your applications.

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Increase visibility and control over AI models used in your applications

AI component inventory

Discover and manage all AI models and frameworks used in your applications with a comprehensive and continuously updated inventory.

Gain visibility into potentially unauthorized and hard-to-detect “Shadow AI” to mitigate AI specific risks.

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AI component risk insights

Obtain actionable insights on the known risks tied to AI models, including licensing, public security vulnerabilities, and malicious packages.

Create mitigation strategies for each identified risk to ensure the safety of AI powered applications.

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System prompt hardening

Harden your system prompts by identifying risks based on their content, structure, or potential for misuse.

Coming soon, Mend AI will identify problematic code and insecure descriptions of AI vulnerabilities to quickly assess and control risks found within AI prompts.

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AI red teaming

Identify risks unique to your AI powered applications and data for conversational AI with prebuilt, customizable tests.

Verify your application’s security against threats like prompt injection, context leakage, data exfiltration, biases, and hallucinations that can lead to unintended consequences.

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Proactive policies and governance

Ensure your applications adhere to your AI governance policies throughout the software development lifecycle with Mend.io’s robust policy engine and automation workflows.

Define, set, and govern specific rules for all AI components used in your applications.

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Explore Mend AI, part of the Mend AppSec Platform

Mend AI is a key component of the Mend AppSec Platform’s holistic and proactive approach to application security.

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Learn more about how we can help

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Secure AI powered applications from risks specific to the use of AI

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Mitigate behavioral risk associated with conversational AI

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Secure AI generated code without slowing developers down

MTTR

“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.”

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Andrei Ungureanu, Security Architect
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All-in-one solution

“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.”

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Software Composition Analysis Q4 2024
Fast, secure, compliant

“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.”

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Chris Wallace, Senior Security Architect
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Price to value

“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.”

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Software Composition Analysis Q4 2024
Immediate insights

“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.”

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Markus Leutner, DevOps Engineer for Cloud Solutions
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Recent resources

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AI Security Guide: Protecting models, data, and systems from emerging threats

Learn how to protect AI systems with practical strategies and security frameworks.

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A CISO’s Guide to Securing AI from the Start

Learn how to secure AI applications, mitigate risks, and adapt AppSec strategies.

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All About RAG: What It Is and How to Keep It Secure

Learn about retrieval-augmented generation, one complex AI system that developers are using.

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Ready for AI native AppSec?