What Prompt Security does
Prompt Security is an enterprise AI-security platform for discovering generative-AI use, applying data and usage policies, testing AI applications, and protecting prompts, responses, agents, and tool calls.
Prompt Security addresses both sides of enterprise generative AI: employees using external assistants and developers operating internal AI applications. Its platform can provide usage visibility, data controls and coaching, application red teaming, runtime protection, and an MCP gateway for inspecting or governing tool interactions.
There is no public self-service price. Cost depends on users, applications, traffic, modules, deployment, integrations, support, and contract. Cloud and self-hosted options have different operational responsibilities, so a quote should specify what content is processed, where it is retained, how keys are handled, and what availability applies to inline enforcement.
Inline controls can expose sensitive prompts to another processor and can disrupt legitimate work when a detector lacks business context. Redaction may alter meaning, browser visibility may be incomplete, and encrypted or unsupported paths can create blind spots. Minimize capture, test policy behavior by role and language, provide safe user explanations and exception routes, and fail safely when the control plane is unavailable.
How Prompt Security works
The platform connects at approved user, browser, network, API, or application layers to observe supported AI interactions and apply policies to prompts, responses, files, or tool calls. It can discover shadow AI, warn or block users, redact covered data, test homegrown applications, and enforce controls around agents and MCP. Administrators define scope and exceptions; humans investigate alerts, validate context, and authorize business-impacting blocks.
How to set up Prompt Security
Map AI use and sensitive data
Identify sanctioned and unsanctioned assistants, internal applications, agents, MCP servers, data classes, users, jurisdictions, and prohibited actions.
Select collection and deployment paths
Compare browser, network, API, application, cloud, and self-hosted options with privacy, latency, availability, retention, and quote requirements.
Pilot visibility before blocking
Connect a limited group, minimize collected content, validate application coverage and identities, and inspect alerts across representative languages and file types.
Tune policies and exceptions
Create role-specific allow, warn, redact, and block rules; test false positives, prompt injection, data leakage, tool calls, and a documented exception workflow.
Operate with accountable review
Assign alert and outage owners, monitor bypass and user impact, audit permissions and retention, and reevaluate after vendor, model, or application changes.
Prompt Security FAQs
What does Prompt Security protect?
It covers supported employee GenAI use, internally built AI applications, runtime interactions, red-team testing, and agent or MCP tool activity depending on deployment.
Can it run on premises?
Prompt Security advertises cloud and self-hosted deployment choices; buyers should confirm exact modules, data paths, upgrades, and support for their edition.
Does Prompt Security publish pricing?
No public universal rate card was found. Pricing requires a quote based on scope, users, applications, traffic, modules, and deployment.
Will data redaction catch everything?
No. Detection can miss novel formats or context and can over-block legitimate text. Use minimization, layered DLP, testing, monitoring, and human review.
Can it make MCP safe automatically?
No. A gateway can inspect and enforce covered calls, but server provenance, tool permissions, authentication, schemas, authorization, logging, and approval remain essential.
Listing reviewed 2026-08-09. Product details and pricing can change; verify important terms on the provider's website.
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