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Prompt Security by SentinelOne

Manage GenAI risks and secure LLM applications.

Security· 4.5·0 saves·Freemium

Quick facts

Best for
Manage GenAI risks and secure LLM applications.
Pricing
Freemium
Editor rating
4.5 / 5
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0

About Prompt Security by SentinelOne

Prompt Security is an AI security company specialized in managing risks brought about by the application and usage of General AI (GenAI). The tool facilitates in identifying, analyzing, and rectifying vulnerabilities observed in Language Learning Model (LLM) based applications. It provides solutions targeting employees, homegrown apps, AI code assistants, and agentic AI security. For employees, it offers visibility, security, and governance for AI tools usage. Its capability extends to blocking prompt injections, data leaks, and managing any harmful LLM content for homegrown apps. AI Code Assistants are able to adopt AI in a secure manner, preventing unwanted exposure of sensitive data and code. The tool also provides solutions for Agentic AI security, enabling monitoring, governance, and security of AI agents. With its 'AI Red Teaming', it is possible to find vulnerabilities in homegrown AI apps. The tool incorporates features for handling specific industry needs, such as in healthcare for secure AI adoption, and in finance and insurance to protect customer data and meet compliance. Furthermore, it provides resources including an AI Risk Assessment Tool for evaluating AI sites and MCP servers, an 'AI Risks Index' for learning about top AI security risks, and 'Prompt Fuzzer', an open source tool for AI vulnerability assessment. Supported featuresCybersecurity

Pros

  • Secures Language Learning Model applications
  • Blocks prompt injections
  • Prevents data leaks
  • Manages harmful LLM content
  • Protects sensitive data and code
  • Protects customer data in finance and insurance industry
  • Ensures compliance in finance and insurance industry
  • Mitigates risks of prompt injection
  • Automates risk management
  • Provides LLM-based apps security
  • Prevents data privacy risks
  • Capable of identifying, analyzing, rectifying vulnerabilities in LLM-based applications

Cons

  • No clear pricing information
  • Limited industry-specific features
  • Complexity for non-tech users
  • Potentially high implementation time
  • Limited integration capabilities
  • No multi-language support
  • Lack of customer reviews
  • Dependency on company support
  • No mobile application support
  • Unclear data breach protocol

Pricing

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