The rapid advancement of AI has led to widespread adoption, yet the ecosystem remains fragmented due to the diverse range of models, frameworks, and components – and the complex ways they interact. This variability makes securing AI applications particularly challenging.
Mend.io approaches AI application security from an enterprise-level perspective. While many AppSec platform vendors focus solely on vulnerabilities within AI-generated code (which Mend.io also addresses), its primary focus is securing the AI components themselves. To achieve this, established risk management strategies, processes, and tools are leveraged to identify the unique risks associated with AI – without the need to completely reinvent security frameworks.
Unlike isolated security solutions, Mend.io provides a unified, end-to-end platform for securing an organization’s entire codebase, including its AI components. The approach ensures that AI security is seamlessly integrated into existing workflows to maximize efficiency while minimizing disruptions.
Mend AI Premium expands Mend.io’s AI security solutions with a comprehensive suite of tools designed to enhance protection against emerging AI-related threats.
Expanding AI Security with Mend AI Premium
Customers of the Mend AppSec Platform already utilize Mend AI. It is an AI component inventory management solution. This solution detects frameworks and models used in applications. As a result, it provides full visibility into AI components across the entire codebase.
With the introduction of Mend AI Premium, organizations can extend AI security coverage to proactively manage and mitigate AI component risks.
Key Benefits of Mend AI Premium
Mend AI Premium provides critical security insights into AI model and framework inventory. It identifies both common risks associated with AI components and behavioral risks specific to each application. These behavioral risks were previously difficult to detect.
Features of Mend AI Premium:
- AI Component Risk Insights – Actionable intelligence on known risks tied to AI models, including licensing issues, public security vulnerabilities, and malicious packages.
- AI Behavioral Risks (Red-Teaming) – Identification of application-specific risks related to AI-powered systems, data, and security concerns. Prebuilt, customizable tests help verify resilience against threats such as prompt injection, context leakage, and data exfiltration.
- Proactive Policies and Governance – Security of AI components throughout the entire software development lifecycle, facilitated by Mend.io’s powerful policy engine and automation workflows.
Mend.io: Enabling a Mature AI Security Strategy
Gaining visibility into which AI models and frameworks exist within a codebase is a major milestone. Many development teams have yet to achieve this level of insight.
With Mend AI Premium, AppSec teams can apply proven security principles – including governance, testing, and risk visibility – to emerging AI technologies, ensuring secure AI adoption without compromising innovation.
