Mend AI
AI application security for the entire AI lifecycle
Discover, prioritize, remediate, and continuously protect AI applications across code, models, agents, MCP servers, prompts, dependencies, and runtime interactions.
Continuous visibility, intelligent prioritization, faster remediation, and runtime protection across the AI application lifecycle
AI inventory and discovery
Continuously discover AI-generated code, models, agents, frameworks, MCP servers, prompts, and other AI components used throughout your applications. Build a complete AI inventory, uncover shadow AI, and maintain visibility as your environment evolves.
System prompt hardening
Reduce prompt-based risk by identifying insecure or overly permissive system prompts before they become production issues. Strengthen prompts with actionable guidance that improves AI resilience and governance.
AI red teaming
Test AI applications against prompt injection, data leakage, hallucinations, jailbreaks, and other AI-specific attack techniques. Identify weaknesses before deployment with repeatable, customizable security testing.
Runtime guardrails
Protect AI applications in production with runtime guardrails that inspect inputs and outputs, enforce security policies, and reduce risk from prompt injection, sensitive data exposure, and unsafe AI behavior.
AI governance and policy
Define and enforce organization-wide AI security policies across models, agents, prompts, and AI applications. Continuously monitor compliance and automate governance throughout the software development lifecycle.
Check your AI security posture
Measure your AI security program against industry frameworks including OWASP, NIST, ISO/IEC, and the EU AI Act. Identify gaps, prioritize improvements, and generate actionable recommendations.
One platform for AI application security
Discovery, prioritization, remediation, governance, and runtime protection in a single platform built on proven application security workflows.
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 covering the entire AI lifecycle — discovery, prioritization, remediation, governance, and runtime protection. It secures AI applications across code, models, agents, MCP servers, prompts, and dependencies: building a continuous AI inventory, hardening system prompts, red teaming AI behavior, and enforcing runtime guardrails in production.
How does Mend AI detect shadow AI in my applications?
Mend AI continuously discovers AI-generated code, models, agents, frameworks, MCP servers, and prompts across your applications — including shadow AI adopted without security review. Each discovered component is added to your AI inventory, tied to specific applications, and evaluated against your governance policies, maintaining visibility as your environment evolves.
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 tests AI applications with repeatable, customizable AI red teaming scenarios that probe for prompt injection, data leakage, jailbreaks, hallucinations, and other AI-specific attack techniques. Tests can be tailored to your application’s data and intended behavior, and findings feed the same policy and remediation workflows used for code findings.
How does Mend AI harden system prompts?
Mend AI identifies insecure or overly permissive system prompts before they become production issues, scores each prompt for risk using AIWE scoring, and provides actionable guidance to strengthen them. System prompt hardening is enforced through the platform’s policy engine, improving AI resilience and governance before prompts reach production.
Does Mend AI protect AI applications at runtime?
Yes. Mend AI enforces runtime guardrails in production that inspect inputs and outputs, enforce security policies, and reduce risk from prompt injection, sensitive data exposure, and unsafe AI behavior. Runtime protection extends the same policies used for discovery, remediation, and governance to live AI interactions.
Can Mend AI secure AI agents and MCP servers?
Yes. Mend AI discovers agents, agent frameworks, and MCP servers alongside the models, prompts, and dependencies they use, adds them to your AI inventory, and applies policy guardrails before they reach production. This closes the visibility gap created by unauthorized “shadow MCP” servers connecting AI tools to internal systems.
Which AI security frameworks and regulations does Mend AI map to?
Mend AI measures your AI security program against OWASP, NIST AI RMF, ISO/IEC 42001, and the EU AI Act. The AI security assessment identifies gaps across 25 technical requirements, prioritizes improvements, and generates regulatory-aligned recommendations.
