Mend.io AI Security

AI Red Teaming tools help teams simulate real life scenarios. They zero in on a more practical question: how does your AI system really behaves.

Learn what prompt injection attacks are and how to defend against 4 key types.

AI Red Teaming services simulates adversarial attacks on AI systems to proactively identify vulnerabilities and weaknesses.

Explore AI penetration testing and five essential techniques.

Mend.io now integrates with Cursor to secure AI-generated code in real time

Learn how to protect AI systems with practical strategies and security frameworks.

Uncover the hidden risks of Shadow AI and learn 8 key strategies to address it.

MCP adoption is surging across industries, fundamentally reshaping how systems connect to AI models.

Learn why red teaming is key to securing today’s enterprise AI systems.

AI Red Teaming providers are specialized companies that simulate adversarial attacks on AI systems to uncover vulnerabilities, biases, and harmful behaviors before these systems are deployed.

AI Red Teaming companies help software and security teams to better understand how their AI application behaves under adversarial attacks.

Learn what AI red teaming solutions solve, how they work, and how to choose the right fit.

Learn how to secure embeddings against poisoning, leakage, and inversion attacks.

Learn how AppSec teams can extend existing security and compliance practices seamlessly to AI.

Robust AI governance and threat detection with Mend AI Premium.

This post breaks down the differences between securing AI, secure AI use, AI for security, and AI safety.