Prompt Security is a comprehensive platform for securing generative AI use in enterprises, protecting both employee AI usage and customer-facing LLM applications.
Prompt Security covers the full spectrum of GenAI risk. For employees, it inspects prompts sent to tools like ChatGPT and Copilot, blocking sensitive data leakage and unsafe content in real time. For applications, it provides runtime protection against prompt injection, jailbreaks and toxic outputs, along with tools to discover and assess the organization’s AI footprint.
The platform offers fine-grained policy controls, audit logging and integration with identity providers and SIEM systems, making it practical for security teams that need governance over rapidly spreading AI adoption.
For workforce protection, Prompt Security inspects prompts sent to public AI tools, redacting sensitive data and enforcing acceptable-use policy in real time. For customer-facing applications, its firewall blocks injection attacks, jailbreaks and toxic outputs. Discovery tooling maps the organization’s AI footprint, and governance features — approved tools, audit logs, SIEM integration — give security teams visibility and control over fast-moving AI adoption.
Prompt Security is sold through enterprise agreements covering workforce and application protection; pricing is provided by sales.
CISO and security teams that need to govern both how employees use AI tools and how their own LLM applications behave.
No self-serve tier is offered; it is an enterprise platform sold through sales engagements.
The platform integrates with enterprise security stacks and supports API-based enforcement points for LLM apps.
Its dual coverage of employee AI usage and application protection distinguishes it from single-purpose LLM firewalls.
Yes — workforce protection monitors and controls prompts to public AI tools, preventing sensitive data leakage and enforcing policy.
Prompt Security inspects every prompt and response flowing through its enforcement points, detecting and redacting sensitive information such as personal data, credentials and proprietary code before it reaches external AI providers. Policies are configurable by group and use case, so marketing teams and engineering teams can have different rules. All activity is logged for audit and compliance purposes, and the platform integrates with enterprise identity and SIEM systems. Organizations retain control over what data may be shared with which AI tools, at any scale of adoption.
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