Prompt Security by SentinelOne ✓
Manage GenAI risks and secure LLM applications.
Verdict
A quick read before you dig into the full page.
- Best if
- Manage GenAI risks and secure LLM applications
- Skip if
- Limited integration capabilities
- Pick this when
- Secures Language Learning Model applications
Considering AI Security Gateway instead? Compare side by side
Overview
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.
Access & connections
Where you can use Prompt Security by SentinelOne, and what it plugs into.
Platforms
Integrations
Capabilities
What this tool accepts, produces, and is strongest at.
Input
- Tabular
Output
- API
- Text
Supported features
- Cybersecurity
Pros & cons
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
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- Automates risk management
- Provides LLM-based apps security
- Prevents data privacy risks
- Capable of identifying, analyzing, rectifying vulnerabilities in LLM-based applications
- Prevents unwanted exposure of sensitive data in homegrown apps
- Specific features for financial & insurance compliance
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
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- No mobile application support
- Unclear data breach protocol
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