
Secure your generative AI, from shadow AI to LLM threats
Visit WebsiteTL;DR - Prompt Security
- Secures generative AI applications and usage across the enterprise.
- Prevents shadow AI, data leaks, prompt injection, and other AI-specific risks.
- Offers flexible deployment options and is compatible with any LLM.
What is Prompt Security?
Pros & Cons
Pros
- Provides a holistic approach to AI security, covering employees, homegrown apps, and code assistants.
- Offers robust protection against a wide range of AI-specific threats, including those identified by OWASP.
- Features flexible deployment and LLM-agnostic integration for broad compatibility.
- Includes AI Red Teaming and a Prompt Fuzzer to proactively identify and mitigate vulnerabilities.
Cons
- Requires integration into existing AI and tech stacks, which may involve initial setup effort.
- The comprehensive nature of the platform might be more than what smaller organizations with limited AI adoption require.
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Key Features
Pricing
Prompt Security offers paid plans. Visit their website for current pricing details.
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Prompt Security FAQ
How does Prompt Security address the risk of Shadow AI within an organization?
What specific types of attacks does Prompt Security protect homegrown AI applications against?
Can Prompt Security integrate with any large language model (LLM) or does it have specific compatibility requirements?
What deployment options are available for Prompt Security?
How does Prompt Security help secure AI code assistants without exposing sensitive data?
What is the purpose of the Prompt Fuzzer feature?
How does Prompt Security ensure data privacy when AI applications interact with third-party LLMs or vector databases?
What is MCP Gateway and how does it relate to Agentic AI Security?
Source: prompt.security