Mend.io AI Security

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.

An overview of the top vulnerabilities affecting large language model (LLM) applications.

Learn about retrieval-augmented generation, one complex AI system that developers are using.

Find out more about shadow AI and the risks of leaving it uncovered.

Worried about attackers using AI models to write malicious code? Here are three other ways AI model use can lead to attacks.

Not all "open" AI licenses are truly open source. Learn more about the most popular licenses on Hugging Face.

Learn about this family of licenses that seek to limit harmful use of AI models.

Learn essential strategies to secure your AI models from theft, denial of service, and other threats, covering copyright issues, risk management, and secure storage practices

Discover the OWASP Top 10 for LLM Applications in this comprehensive guide. Learn about vulnerabilities, & prevention techniques.