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 supply chain management

Maintain comprehensive, real-time inventory of all models and frameworks across your AI supply chain, including hard-to-detect “Shadow AI”. 

Mend AI provides deep visibility to tie risks to models, strengthening your AI supply chain security with mitigation strategies for licensing, vulnerabilities, and malicious packages, ensuring 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 as part of your broader AI security testing strategy.

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AI red teaming

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

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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AI runtime protection

Apply real-time safety filters between your users and your AI models to defend against unpredictable behavioral threats.

Mend AI is currently developing in-app guardrails to enhance AI runtime defense and deeper AI governance over live AI interactions as they happen.

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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 and AI-SPM (AI posture management) protocols used in your applications.

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Check your AI security posture

Map your controls against OWASP, NIST, ISO/IEC, and the EU AI Act. Identify specific compliance gaps across 25 technical requirements and receive a Maturity Report that translates your technical posture into clear, regulatory-aligned action items.

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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What is an AI Bill of Materials (AI BOM)?

Learn how to create and automate an AI BOM.

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Ready for AI native AppSec?

AI Security & Compliance Assessment

Map your maturity against the global standards. Receive a personalized readiness report in under 5 minutes.