Veridicus Scan Local Evidence for AI-Bound Content
Download app

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: Share Sheet intake for links, files, and selected text; supported document, mail, calendar, data, web, and image formats; reviewed reports; and premium local MCP automation.

Download on the App Store Review coverage
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 HTML/HTM, SVG, MD/Markdown, marketing pages, or public websites for hidden content, comments, and webpage metadata that may target AI agents.
  • Use strict mode when redirect boundaries matter, and carry any partial-coverage notice into the decision.
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 DOCX comments, revisions, vanished text, and metadata before an assistant processes the document.
  • Review EML alternative bodies and supported textual attachments, ICS descriptions, or XLSX hidden sheets and suspicious formulas.
  • Inspect PNG, JPG/JPEG, WebP, or GIF images for supported visual signals and QR payloads; animated images are limited to the first frame.
  • 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

  • Send a link, file, or selected text through the Share Sheet for a compact review before it enters the next tool.
  • 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.
  • Scan resumes, cover letters, and candidate portfolio URLs before AI-assisted hiring review or ATS automation runs.
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.
  • Exercise Base64, hexadecimal, URL-percent, ROT13, and split-artifact cases against the layered on-device detector.
  • Evaluate selected Spanish, Chinese, and Arabic patterns without implying coverage for every language.
Premium local automation

When the scan should plug into a repeatable local workflow

  • Use premium scan_text, scan_url, scan_file, or scan_repo while the local app runtime is active.
  • Retrieve redacted reports or apply runtime guards before an agent proceeds with a risky plan or action.

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, URL, file, or repository inspection, report retrieval, and plan or action gating.

Local scan-and-report loop

Open a session, choose scan_text, scan_url, scan_file, or scan_repo, retrieve or export the report, then close the session.

Bounded repository intake

Use scan_repo before an agent reads or installs from a local repository. It is an input-hardening signal, not a complete repository-security verdict.

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.

AI job application screening

See how to scan resumes, cover letters, work samples, and candidate links before AI review in recruiting workflows.

MCP automation

See the local, premium, session-based MCP bridge, supported methods, and runtime guardrail model.

Local-first trust model

See what stays on device, when a network fetch happens, and how exported evidence stays bounded.

Reports and exports

See how risk score, findings, coverage notes, and PDF or JSON export work together.

HTTPS URL scanning

Understand strict mode, lenient mode, redirect boundaries, and why URL handling matters.

OpenClaw intake safety

See how to use Veridicus Scan before OpenClaw reads suspicious URLs, files, or pasted content.

Back home

Next step

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

The app supports the core surfaces behind these scenarios: Share Sheet intake, supported files and images, user-triggered HTTPS scans, reviewed reports, redacted exports, and premium local foreground MCP automation.

Download on the App Store See the workflow