Real use cases

Use cases for the AI and agent workflows Veridicus Scan supports today.

Match Veridicus Scan to real assistant, document, team, and local MCP workflows. These scenarios map to the shipped scan surface: HTTPS URL scanning, imported PDF, DOCX, and HTML files, scored reports, coverage notices, JSON or PDF export, recent scans, and premium local MCP automation.

Download on the App Store Review coverage

Full use-case map

All of the main scenarios in one place.

These scenarios cover personal AI safety, document review, reporting, MCP and agent-runtime workflows, evaluation, and premium automation.

Assistants and web content

Before content reaches an AI assistant

Scan a webpage before giving it to an AI assistant to catch hidden prompt injection or instruction smuggling.
Review marketing pages, help docs, or public websites for hidden DOM content, comments, or accessibility text that may target AI agents.
Validate that a URL is safe to scan in strict mode when redirects matter.

Document review

Before a file is uploaded or shared

Check a PDF from email, cloud storage, or messaging apps for invisible or misleading text before sharing it with an LLM.
Inspect a DOCX file for hidden styles, off-page text, or metadata that could manipulate an AI workflow.
Use the app as a local privacy-preserving scanner when content should not be uploaded to a remote service.

Reports and evidence

When a scan result needs to be documented clearly

Generate a clear risk report for suspicious files or links so a user can decide whether to trust, share, or upload them.
Export findings as JSON or PDF for internal review, compliance evidence, or incident tracking.
Help security or trust teams document suspicious content with structured evidence instead of ad hoc screenshots.

Team and pipeline review

When content feeds a larger AI workflow

Reopen recent scans when revisiting a source so the earlier review stays available while you reassess it.
Triage third-party documents before they are added to a knowledge base, RAG corpus, or agent memory system.
Screen supplier, client, or contractor documents before they are processed by internal AI tools.

Evaluation and testing

When the goal is to harden systems before production

Audit training or benchmark datasets for prompt-injection-like artifacts before using them in evaluation pipelines.
Support QA and red-team workflows by testing whether known prompt-injection samples are detected correctly.

Premium local automation

When the scan should plug into a repeatable local workflow

Trigger local automated scans through App Intents or MCP workflows for premium automation use cases.

MCP workflows

Use MCP when the scan should stay inside an agent workflow.

Premium MCP mode is local, foreground, and session-based. It is built for agent workflows that need more than a single manual scan: text or URL inspection, report retrieval, memory handling, selective disclosure, and plan or action gating.

Local scan-and-report loop

Open a session, run Scan Text or Scan URL, fetch the report, export it, and close the session without leaving the local path.

Selective memory disclosure

Use Ingest Memory, Retrieve Memory, and Selective Disclosure when an agent should see only the relevant subset of risky context.

Guard plans and actions

Use Scope Tools, Guard Plan, and Gate Action when the scanner needs to participate in runtime policy checks, not just detection.

See the MCP automation page See the OpenClaw intake guide

Next reads

Choose the explainer that matches the next decision.

Keep moving into trust boundaries, exports, URL policy, or agent intake depending on what you need to decide next.

Next step

Choose the scan path that matches how the content will be used.

The app already supports the core surfaces behind these scenarios: URL scans, imported documents, scored reports, shareable exports, and premium local MCP automation.

Download on the App Store See the workflow