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.
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.
System prompt hardening
Harden your system prompts by identifying risks based on their content, structure, or potential for misuse.
Mend AI identifies 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.
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.
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.
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.
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.
Secure the AI in your applications
Full visibility and control for AI model usage, dependencies, and risks — built for the way AI is being adopted in modern software.
Learn more about how we can help
Secure AI powered applications from risks specific to the use of AI
Mitigate behavioral risk associated with conversational AI
Secure AI generated code without slowing developers down
“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.”
“Overall, the product is great. It solves the OSS vulnerabilities, OSS commercial product license restrictions, and is diving deep into AI license and usage vulnerabilities.”
“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.”
“It is one of the easiest and best ways to analyze coding. With AI, it is able to detect security flaws and compliance issues quickly and accurately.”
“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.”
Mend AI FAQs
What is Mend AI?
Mend AI is an AI security solution that automates the discovery, risk assessment, and governance of AI in your applications — including models, frameworks, agents, and system prompts. It delivers continuous inventory, vulnerability and license analysis, system prompt hardening, automated red teaming, and policy enforcement across the AI software development lifecycle.
How does Mend AI detect shadow AI in my applications?
Mend AI scans your code to surface AI models and libraries that developers have adopted without security or governance review. It maps each discovered component into your AI supply chain, ties it to specific applications, and applies your policy controls.
Does Mend AI generate an AI Bill of Materials (AI-BOM)?
Yes. Mend AI automatically produces an AI-BOM — a structured inventory of every AI model, framework, dataset, and dependency your application uses — and keeps it continuously updated as code changes. The AI-BOM supports compliance with the EU AI Act, NIST AI RMF, and customer security questionnaires.
How does Mend AI perform red teaming?
Mend AI runs prebuilt, customizable AI red teaming scenarios against your conversational AI to probe for risks like prompt injection, context leakage, data exfiltration, jailbreaks, hallucinations, and bias. Tests can be tailored to your application’s data and intended behavior, and results feed directly into the same policy and remediation workflows used for code findings.
How does Mend AI harden system prompts?
Mend AI analyzes the content and structure of system prompts, scores each one for risk using AIWE scoring, identifies insecure patterns (e.g., injection-prone instructions or leak-prone phrasing), and recommends hardened alternatives. System prompt hardening is enforced before prompts reach production through the platform’s policy engine.
Which AI security frameworks and regulations does Mend AI map to?
Mend AI maps risk to the OWASP Top 10 for LLM Applications and helps organizations meet requirements outlined in NIST AI RMF, ISO/IEC 42001, and the EU AI Act. The AI Security Survey pinpoints compliance gaps across 25 technical requirements and converts findings into regulatory-aligned action items.
Can Mend AI secure agentic AI and multi-step AI workflows?
Yes. Mend AI inventories agent frameworks like LangChain and LlamaIndex alongside the models and tools they call, evaluates the risk of each step in a chain, and applies policy guardrails before agents reach production — giving security teams visibility into autonomous AI behavior.
