Guardial Workbench

A unified dashboard for real-time protection and model lifecycle management.

Test the real-time Shield for prompt injection, PII redaction, and harmful content detection.


                                

                                

Ensure model outputs are grounded in your provided knowledge base.

1. Upload Dataset

This data will be added to a vector database.

2. Query Model

Ask a question related to your knowledge base.

Fine-tune a base model on your own dataset.

1. Configure & Upload

CSV must contain a 'text' column.

Number of training passes.

Remove specific information from a model without full retraining.

1. Configure & Upload

The full, original dataset.

The dataset with sensitive info removed.

The specific term to unlearn.

Enterprise Ready

Enterprise-Grade AI Safety

Comprehensive protection and compliance in one unified platform

96x
Faster Unlearning

30 minutes vs 14 hours full retraining

94-96%
Retain Accuracy

Model preserves unaffected knowledge

ISR 0.70
Hallucination Control

Configurable confidence threshold

<1s
Real-Time Shield

Minimal latency overhead

GDPR & CCPA Compliant
Full Audit Trails
Right to be Forgotten
PII Redaction
Model Versioning
Enterprise SSO
GDPR & CCPA Compliant
Full Audit Trails
Right to be Forgotten
PII Redaction
Model Versioning
Enterprise SSO

How Guardial Works

Your journey from raw prompt to safe response in four simple steps.

Submit a Prompt

Send your request to Guardial via the demo UI or API.

Step • Start

Input Shielding

Detect injection attempts and harmful intent; redact PII before it reaches the model.

Pre‑model

LLM Generation

Forward the shielded prompt to the model (Gemini) for fast, high‑quality output.

Model

Output Screening & Logs

Screen responses for safety and PII; redact or block if needed and emit structured logs.

Post‑model

Why Enterprise AI Safety Matters

Critical challenges facing organizations deploying AI—from security threats to compliance requirements.

Prompt Injection & Exfiltration

Adversaries coerce the model to reveal hidden system prompts, tool secrets, or sensitive retrievals from connected data sources.

High riskBreakout attempts

Sensitive Data Leakage

PII, secrets, and regulated data can appear in prompts and responses. Apps need automatic detection and redaction before it leaves the boundary.

SevereData exposure

Harmful or Non‑Compliant Output

Toxic, unsafe, or policy-violating generations degrade trust and may breach compliance. Responses should be screened before delivery.

FrequentPolicy violations

Complete AI Safety & Compliance Suite

Four powerful modules working together—from real-time protection to enterprise compliance.

Ready for Enterprise AI Safety?

Complete platform combining real-time protection, GDPR compliance, and model lifecycle management—all in one unified toolkit.