What we still need to verify : 4 points in this profile are not yet confirmed against vendor documentation.
- Corporate ownership following acquisition, confirm
- Current module names and packaging, confirm with vendor
- Supported coding assistants and IDE coverage, confirm
- Integration and connector list, confirm
Treat these points as unconfirmed. They are open items in the catalog's verification queue, and this note stays until each is checked against the vendor's documentation.
What it does
Prompt Security covers three distinct GenAI exposures with one inspection engine. The first is employee usage of third-party AI tools, handled through a browser extension and network-level inspection that sees which services are being used and what is being pasted into them. Sensitive content can be redacted or the submission blocked before it leaves, which is the control most organizations actually want when they discover how much of their data has gone into a public chat interface.
The second is protection for applications the organization builds itself. Prompts and responses pass through inspection for injection attempts, sensitive data disclosure, content policy violations and abusive usage patterns, including the resource exhaustion case where an attacker drives up inference consumption. The third is AI coding assistants, which deserve their own treatment: the concern is both what proprietary code leaves in the context window and what insecure or license-encumbered code comes back and gets committed. Inspecting the assistant's suggestions before they land is a control point that neither a conventional scanner nor a chat-focused guardrail covers.
Where it fits
Multiple placements. Endpoint and browser for employee usage, in front of your own applications for the development side, and at the IDE or assistant layer for code. Security teams own the policy; application teams are affected mainly by the inline path. The organizational prerequisite is agreement on what employees may and may not do with AI, because the product enforces a policy and cannot invent one.
Strengths
- Covers consumption, production and coding assistants together, which otherwise means three separate procurements and three policy definitions.
- Redaction rather than outright blocking keeps employees productive, which is what determines whether the control survives contact with the business.
- AI coding assistant coverage addresses an exposure most GenAI security products do not touch at all.
- Self-hosted deployment is available where prompt content cannot leave the environment.
Limitations
- Browser extension and endpoint enforcement requires managed devices. Unmanaged laptops and personal phones stay outside the control.
- Inline inspection sits in the user's path, so latency and false blocks turn into help desk tickets quickly. Expect a tuning period in monitor mode first.
- The inspection system necessarily sees sensitive prompt content, which needs its own data handling and retention review.
Who it suits
Well matched to enterprises whose AI risk is primarily about employees and data leaving the organization, and that also build some GenAI features internally. Less suited to a product engineering team with no employee governance problem, which would do better with a library or gateway in the application path and no endpoint deployment to manage.
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