When AI Trusts the Wrong Data: New Research From Prompt Security

Prompt Security reveals how AI systems can be silently manipulated by the very data they rely on, exposing a risk in modern AI pipelines.

The Embedded Threat in Your LLM: Poisoning RAG Pipelines via Vector Embeddings

Prompt Security’s latest research details how embedding-level prompt injection can poison RAG pipelines, compromise model integrity, and evade detection.

Prompt Security Named as a 2025 Gartner® Cool Vendor in AI Security

Prompt Security is recognized as 2025 Gartner Cool Vendor in AI Security

What Is AI Security? Risks, Challenges, and How to Stay Ahead

AI Security means protecting both employee use of AI tools and the apps you build. Discover key risks and how Prompt Security helps.

Case Study: Securing AI for Cymulate - Ensuring Safe AI Adoption Across Teams

Discover how Cymulate used Prompt Security’s real-time monitoring, dynamic policy enforcement, and low-latency AI protection to securely scale AI adoption.

Prompt Security + SentinelOne: A New Chapter Begins

Prompt Security + SentinelOne: A New Chapter Begins

What is AI Red Teaming? The Ultimate Guide

Discover how AI red teaming helps secure AI systems by simulating adversarial attacks. Learn key techniques, tools, and best practices.

How ISO/IEC 42001 and 42005 Work Together for AI Governance

ISO/IEC 42001 sets up AI management systems; ISO/IEC 42005 guides AI impact assessments. See how the two standards work together, including for AI agents.

Prompt Security Top 10: Key Security Risks for MCPs

Discover the top 10 security risks in Model Context Protocols (MCPs). Learn how attackers exploit prompt injection, tool misuse, and more.