Mend AI
AI application lifecycle security
Move beyond basic security to comprehensive AI governance. Mend AI provides the centralized visibility and policy enforcement needed to manage enterprise-grade risk.
From discovering shadow AI to ensuring continuous compliance, we protect your AI assets against unique risks across the entire AI development lifecycle.
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.
Frequently asked questions
Why do AI powered applications need a dedicated security solution over traditional AppSec?
Traditional AppSec focuses on static code and known vulnerabilities. However, AI introduces “non-deterministic” behavioral risks, like prompt injection and hallucinations, that exist outside the source code. Mend AI addresses these AI specific threats that standard scanners simply cannot see.
Why should security teams prioritize AI security now?
The speed of AI adoption has created a “Shadow AI” crisis. Without dedicated AI governance, organizations are unknowingly exposing sensitive data through third-party LLMs and unmonitored AI agents.
What is “Shadow AI” and why is it a risk?
Shadow AI refers to AI models or frameworks integrated into your environment without official IT approval. These create massive blind spots for data leakage in your AI supply chain. Mend AI automatically discovers these hidden components to bring them under central AI posture management.
How does the Red Teaming process work?
Mend AI performs AI security testing by simulating adversarial attacks tailored to Large Language Models (LLMs). This allows teams to continuously assess how your models respond to malicious inputs, ensuring they remain resilient as both the model and the threat landscape evolve.
What exactly is “System Prompt Hardening”?
System Prompt Hardening is the process of refining and securing the underlying instructions (the “system prompt”) that guide a model’s behavior. Mend AI identifies logic flaws that could allow a user to bypass AI runtime protection.
Does Mend AI support the AI Bill of Materials (AI-BoM)?
Yes. Mend AI generates a comprehensive inventory of all models, datasets, and frameworks used in your applications, ensuring your AI supply chain security meets emerging regulatory requirements for AI transparency.
Can I use Mend AI alongside my existing security tools?
Absolutely! Mend AI is designed to complement your current stack, filling the specific security gaps in AI-SPM and AI runtime defense that legacy tools are not equipped to handle.
Get started
Secure your AI components—before deployment
Mend AI provides AI supply chain visibility, risk assessment, automated AI security testing, and policy enforcement that is seamlessly integrated into your AppSec workflows.
Here’s what you can expect after filling out the form:
- Talk to an expert who knows the risks associated with the AI application lifecycle
- Get a tailored plan to secure your applications against AI security supply chain attacks
- See how Mend AI secures AI components across your existing stack
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