Blog

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

Clear Filters
Filter by Category
Choose Query
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Read More

The New Risk in Town: Shadow MCP Servers

MCP servers let AI run commands, edit files, and send messages. Without control, they become a serious security risk.

Read More

Why Browser Extensions Are the Only Scalable Way to Enable Safe GenAI Adoption — And Why Network Inspection Isn’t Enough

Browser extensions enable safe GenAI adoption at scale—real-time visibility, Shadow AI discovery, data redaction & user coaching.

Read More

Understanding the ISO/IEC 42001 for AI Management Systems

A detailed overview with all of what organizations need to know about the ISO/IEC 42001 for AI Management Systems (AIMS)

Read More

Agentic AI: Expectations, Key Use Cases and Risk Mitigation Steps

Discover agentic AI's transformative potential, key enterprise use cases, and essential risk mitigation strategies for next-level software automation.

Read More

What is GenAI Security?

GenAI security from a technical perspective; learn about AI system risks, prompt injection, data leakage & the controls needed to secure GenAI deployments.

Read More

OWASP LLM Top 10: Key Security Risks for GenAI and LLM Apps

Review the OWASP LLM Top 10 list to understand the top security risks for GenAI and LLM applications. Learn key threats, examples & mitigation strategies.

Read More

Prompt Injection 101

Uncover real-world prompt injection examples and learn how these attacks work, why they’re hard to block & what you can do to protect AI systems.

Read More

Claude Computer Use: A Ticking Time Bomb

Anthropic introduced "Claude Computer Use," a new AI model that enables Claude to autonomously control a computer, opening a new array of security risks.

Read More

Case Study: Securing GenAI for Long-term Patient Care at Elder Outreach

Elder Outreach installed Prompt Security to uncover shadow AI and sanitize sensitive data from the organization before employees would send it to GenAI tools.