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What is Prompt Security AI?

Prompt Security AI is a free tool designed to help teams protect generative AI applications from security threats and misuse. It provides real-time monitoring and analysis of AI prompts and outputs, helping identify potential vulnerabilities, prompt injection attacks, data leaks, and harmful content generation. The tool is aimed at organisations deploying large language models and AI chatbots internally or customer-facing, who need to maintain security standards without slowing down development. By offering tailored security checks specific to your use case, it helps teams catch issues before they become problems in production.

Key Features

Real-time prompt analysis

monitors incoming prompts for injection attempts, malicious patterns, and policy violations as they occur

Output validation

checks AI-generated responses for sensitive data exposure, harmful content, or policy breaches

Customisable security rules

allows you to define security policies specific to your organisation's needs and risk tolerance

Integration support

works with common AI platforms and APIs to provide security without major architecture changes

Threat detection

identifies common attack patterns including prompt injection, jailbreaks, and data extraction attempts

Pros & Cons

Advantages

  • Free to use, making security accessible to teams of any size
  • Real-time protection means issues are caught immediately rather than in retrospective audits
  • Customisable rules let you focus on threats relevant to your specific use case
  • Minimal friction for developers since it integrates into existing AI workflows

Limitations

  • Effectiveness depends heavily on how well you configure custom rules for your organisation
  • Free tier may have limitations on request volume or number of monitored applications
  • Requires integration work to connect to your AI systems; not a plug-and-play solution for all platforms

Use Cases

Monitoring customer-facing chatbots to prevent prompt injection attacks and ensure appropriate responses

Protecting internal AI tools from employees accidentally or deliberately prompting unsafe outputs

Validating that AI applications don't leak sensitive training data or proprietary information

Enforcing consistent security policies across multiple AI applications within an organisation

Detecting and blocking attempts to make AI models generate harmful, illegal, or off-brand content