Guardial | Your LLM Gaurd

How Guardial is useful for others

• Prevents common LLM risks before they reach production

  • Blocks prompt injection and jailbreak attempts that could reveal system prompts, secrets, or sensitive retrievals.
  • Screens for harmful or policy‑violating outputs before they reach end users.

• Protects sensitive data with layered redaction

  • Automatic PII redaction (regex + spaCy NER + optional LLM pass) ensures names, emails, phone numbers, and other entities are removed or masked from prompts and responses.
  • Useful for apps handling customer data, legal text, or medical notes.

• Makes safety decisions explainable and auditable

  • Every request returns a human‑readable trace (step, strategy, decision, reason) so developers, reviewers, and compliance teams can see exactly why something was blocked or modified.
  • Structured logs (EVENT_JSON) make it trivial to ingest events into SIEMs or monitoring dashboards.

• Policy‑driven and easy to tune

  • policy.json lets teams flip detectors on/off, change strategies (ml | heuristic | llm | hybrid), and adjust thresholds without code changes.
  • Enables operational control across environments (dev, staging, prod) with minimal friction.

• Integrates quickly with existing stacks

  • Simple REST API (POST /shield_prompt) and a demo chat UI allow fast prototyping and integration with web apps, bots, or backend pipelines.
  • Deploys on Google Cloud Run (Procfile + gunicorn) or any WSGI host; secrets handled via Secret Manager for secure production use.

• Reduces development and compliance overhead

  • Teams can rely on a tested safety pipeline instead of building ad hoc safeguards per feature.
  • Lowers the barrier for audits and incident investigations thanks to traceability.

• Flexible for different risk profiles

  • Low-risk apps can use heuristic or ml strategies for speed; high-stakes apps can use hybrid or llm strategies for higher recall and explainability.
  • Can be extended to add domain‑specific detectors or external screening services.

• Great for demos, training, and internal governance

  • The live Flow panel and raw JSON view are ideal for stakeholder demos, security reviews, and training content to show exactly how guardrails behave.
  • Helpful when onboarding non‑technical reviewers who need to understand decisions.

Quick example use cases

• Customer‑facing chatbots: block malicious prompts and redact PII before sending user text to a model.
• Internal knowledge bases + retrieval: prevent data exfiltration via prompt injection.
• Compliance workflows: provide retained, structured evidence that safety checks ran for each high‑risk request.
• Rapid prototyping: add safety to experimental LLM features with minimal engineering effort.

Call to action

• Try the live demo: https://gaurdial-93219103935.asia-south2.run.app/
• View the code: https://github.com/ACE-codes21/Gaurdial
• Want help integrating Guardial into your project? I can produce example integration snippets (Node/Python) for common server and client patterns.