Mend

Mend's AI app security is designed to effectively manage the novel risks present within AI models and their corresponding agents. This essential capability ensures that as development velocity increases, the security platform proactively governs all components used in building the next generation of intelligent applications.

AI red teaming offers crucial security testing specifically tailored to secure conversational AI applications. By simulating adversarial attacks, the platform identifies and mitigates potential exploits unique to large language models and interaction-based systems. This proactive defense strategy ensures the reliability and safety of all customer-facing AI deployments.

This feature provides real-time security for code generated by AI, integrating essential vulnerability checks directly into the developer workflow. It ensures that custom code created by generative AI tools adheres to all organizational security policies. This capability significantly accelerates secure development by eliminating post-commit security cleanup and manual review.

Mend enables organizations to move beyond static listings to effective Software Bill of Materials (SBOMs). This crucial process enhances transparency by documenting all software components, their licenses, and known vulnerabilities. Effective SBOMs are essential for meeting regulatory compliance requirements and managing long-term software supply chain governance.

Dynamic Application Security Testing (DAST) actively tests for risks within running applications, simulating real-world attacks in a live environment. This essential feature uncovers security weaknesses that static analysis might miss, such as complex authentication issues and configuration errors. It provides a critical outside-in perspective on application security.