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Read the latest news, research and insights on AI Security from the team at Prompt Security

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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.

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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.

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Claude Code on the Web: Power, Productivity, and a Whole Lot of New Risk

Anthropic’s Claude Code brings AI to your browser. Learn the new coding risks it introduces and how Prompt Security keeps AI workflows safe and compliant.

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AI Acceptable Use Policy: What It Is, Why It Matters, and How to Create One

Learn why an AI Acceptable Use Policy is essential to prevent shadow AI, data leaks, and compliance risks. Get a ready-to-use AI policy template today.

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

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

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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.

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Case Study: HiBob Strengthens AI Adoption with Secure Employee-centric Monitoring

Discover how HiBob safely scaled AI adoption through real-time protection, seamless integration, and employee-focused monitoring with Prompt Security.

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Shadow AI Visibility: How to Detect and Manage Hidden AI Risks

Uncover Shadow AI across apps, APIs, and agents. Start with visibility, then log, assess, and enforce to cut real AI risks.

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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.