PARTNERS

Add selected Workbench capabilities through bounded OEM and partner integrations

Deterministic Prompt and Corpus Analysis

Review the instructions that shape application behavior.

Apply deterministic checks to system prompts, developer instructions, agent guidance, tool descriptions, retrieval templates, memory instructions, evaluation prompts, and corpus documents. Identify role-boundary gaps, unsafe tool guidance, missing policy controls, sensitive information, embedded instructions, and output-handling weaknesses.

ARE YOUR PROMPTS SECURE?

Role and authority boundaries

Review identity anchoring, instruction precedence, delegated authority, tool permissions, approval expectations, and prohibited actions.

Sensitive information

Identify credentials, keys, tokens, private identifiers, proprietary instructions, and other sensitive material embedded in prompts or corpus content.

Injection and context handling

Identify instructions that blur trusted and untrusted content, encourage obedience to retrieved data, or weaken resistance to instruction conflict.

Output and action controls

Review output constraints, tool-call requirements, disclosure rules, validation expectations, and consequential-action safeguards.

Prompt Security Reviewdeterministic analysis
by AI Security LLC › AI security engineering
In-browserPrivacy-first

Prompt assets, prompt review, and prompt testing serve different purposes

AI SECURITY WORKBENCH

Ready to put Prompt Security Review to work?

Start with one bounded application, workflow, tool set, or security decision. Use the relevant Workbench experience to produce connected context, reviewable findings, assigned controls, and explicit next steps.