Description
Mend AI is a comprehensive AI security solution designed to automate risk management and governance across the AI software development lifecycle. It provides tools for discovering AI components and agents, including shadow AI, and offers risk assessment, prioritized remediation, and policy compliance enforcement. Mend AI generates an AI Bill of Materials (AI-BOM), which is a structured inventory of AI models, frameworks, datasets, and dependencies, ensuring compliance with regulations such as the EU AI Act and NIST AI RMF.
The platform performs AI red teaming by running customizable scenarios against conversational AI to identify risks like prompt injection and data exfiltration. Mend AI also hardens system prompts by analyzing their content and structure, scoring them for risk, and recommending secure alternatives before they reach production. Additionally, Mend AI provides runtime protection by inspecting inputs and outputs to catch prompt injection attempts and sensitive data exposure in real time.
Mend AI supports AI security frameworks and regulations, mapping your security program against standards like the OWASP Top 10 for LLM Applications, ISO/IEC 42001, and the EU AI Act. It offers a unified governance approach, connecting discovery, prioritization, behavioral testing, and compliance from code to model to runtime interaction. Pricing is based on the number of contributing developers, reflecting the impact of the solution without limiting factors such as code size or number of scans.
Mend AI is suitable for organizations looking to enhance their AI security posture, providing visibility and control over AI models used in applications. It complements existing AppSec tools and can be purchased as an add-on to Mend AppSec or as a standalone product. The platform is trusted by security teams worldwide for its comprehensive coverage and proactive policies.
Mend AI's Core Features
AI component and agent discovery
Risk assessment and prioritized remediation
AI-BOM generation
System prompt hardening
AI red teaming
AI runtime protection
Policy compliance and governance
AI supply chain management
Proactive policies and governance
Unified governance across lifecycle
Continuous remediation
Automated dependency updates
Dedicated support
Full lifecycle AI security
Shadow AI discovery
How to use Mend AI?
Configure: Set up AI security policies
Use: Monitor AI components and agents
Optimize: Harden system prompts
Protect: Implement runtime guardrails
Mend AI's Use Cases
- AI risk management
- Compliance support
- Shadow AI detection
- System prompt hardening
- Runtime protection







