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ARES Dashboard

AI Red Team Operations Console

ARES is an AI Red Team Operations Dashboard for planning, executing, and auditing structured adversarial testing of AI systems across established risk frameworks.

ARES Dashboard is an enterprise-oriented AI red team operations console designed to help security teams, AI safety researchers, and governance programs conduct structured, repeatable, and auditable adversarial testing of AI systems.

ARES provides a centralized workspace for building attack manifests, managing red team campaigns, aligning assessments with recognized frameworks such as OWASP LLM Top 10 and MITRE, and exporting evidence for review and compliance workflows.

The system supports role-based access control, audit logging, persistent campaign storage, and optional AI-assisted scenario generation. A built-in demo mode allows full exploration of core functionality without requiring external API keys.

ARES is designed to serve as the operational execution layer within a broader AI safety and governance ecosystem, enabling disciplined red teaming without automating exploitation or removing human oversight.

What ARES Is / Is Not

ARES is:

ARES is not:

See PRODUCT_POSITIONING.md for complete positioning details.

🎯 Why ARES

The Problem

Security teams need more than ad-hoc prompt tests and manual documentation. Modern AI deployments require:

Manual approaches to AI security testing are inconsistent, difficult to audit, and don't scale across enterprise teams.

The Solution

ARES provides a governance-ready AI red-teaming and audit platform that:

Why It Matters

For Security Teams: Move from ad-hoc testing to structured, documented security operations
For Compliance Officers: Get the audit trail and framework alignment required for certification
For AI Product Owners: Validate security controls before production deployment
For Auditors: Access comprehensive, timestamped evidence of security testing activities

📋 Typical Use Cases

1. Risk Assessment & Pre-Deployment Validation

Scenario: Enterprise deploying a new AI-powered customer service chatbot
ARES Usage:

Outcome: Validated security controls with documented evidence before production launch

2. Compliance Reporting & Audit Preparation

Scenario: Annual SOC 2 audit requires evidence of AI security testing
ARES Usage:

Outcome: Pass compliance audit with comprehensive security testing documentation

3. Team Collaboration & Knowledge Sharing

Scenario: Distributed red team conducting quarterly AI security assessment
ARES Usage:

Outcome: Coordinated team effort with clear accountability and access controls

4. Continuous Security Testing in CI/CD

Scenario: DevSecOps team integrating AI security into deployment pipeline
ARES Usage:

Outcome: Integrated security testing with historical tracking

5. Framework-Aligned Security Research

Scenario: Security researcher studying LLM vulnerability patterns
ARES Usage:

Outcome: Rigorous, framework-aligned security research

👥 User Personas

Security Engineer

Role: Application security professional conducting pre-deployment validation
Needs: Structured testing methodology, framework alignment, integration with SDLC
ARES Value: Campaign-based workflows, export for automation, version-controlled scenarios

Compliance Officer / Auditor

Role: Ensuring AI deployments meet regulatory requirements
Needs: Audit trails, framework coverage, compliance reports, timestamped evidence
ARES Value: Comprehensive logging, OWASP/MITRE alignment, export capabilities, immutable audit trail

AI Product Owner

Role: Managing AI product security and risk posture
Needs: Risk visibility, pre-deployment validation, documented security posture
ARES Value: Risk assessment campaigns, documented findings, executive-ready reports

Red Team Operator

Role: Offensive security specialist conducting adversarial AI testing
Needs: Attack scenario generation, team collaboration, evidence documentation
ARES Value: AI-assisted scenario generation, workspace management, comprehensive documentation

AI Safety Researcher

Role: Academic or industry researcher studying AI vulnerabilities
Needs: Framework alignment, reproducible methodology, publication-ready documentation
ARES Value: Structured experiments, deterministic mode, comprehensive evidence export

✨ Features

Core Functionality

Enterprise & Governance Features

UX Enhancements

👥 Who Should Use ARES

✅ ARES is designed for:

❌ ARES is NOT for:

Important: ARES is an enterprise security tool requiring proper authorization, security expertise, and governance processes. See SECURITY_BOUNDARIES.md for complete guidelines.

🚀 Quick Deploy

Deploy to Vercel (Recommended)

One-click deployment in under 2 minutes:

Important: Backend API keys are secured server-side and never exposed to the frontend.

For detailed deployment instructions, see DEPLOY.md or QUICK_START.md

Local Development

Prerequisites:

Installation:

3a. (Optional) Set up persistent database:

📖 Usage

Getting Started

Operating Modes

Works fully without an API key using built-in static data:

Enhanced with Google Gemini via secure backend API:

Key Workflows

Campaign Management:

Team Collaboration:

Keyboard Shortcuts:

Theme Toggle:

Build for Production

🛠️ Tech Stack

💾 Database & Persistence

ARES now supports durable data persistence using PostgreSQL with Prisma ORM, replacing localStorage for enterprise deployments.

Features

Quick Setup

Choose a database provider:

Configure your database URL:

Initialize the schema:

Migrate existing data (if upgrading):

Database Schema

The system uses three core models:

API Integration

The frontend automatically uses database APIs when available:

For detailed setup instructions, see:

📁 Project Structure

🎯 User Roles & Permissions

ARES supports four enterprise roles with server-side RBAC enforcement:

Note: Role-based access is enforced on both the frontend and backend for enterprise security.

See Authentication Guide for OAuth integration and advanced permission management.

⚠️ Governance & Responsible Use

ARES is an enterprise security tool for authorized, structured AI security testing.

Authorization & Governance Required

This tool is designed for authorized security testing within governance frameworks only. Always:

What ARES Provides

What ARES Does NOT Provide

For complete governance guidelines, see:

🧪 Testing

Automated Test Suite:

Test Coverage:

Development Build:

Production Build:

Build Verification:

🔄 CI/CD & Automation

Continuous Integration:

Security Automation:

Quality Gates:
All PRs must pass:

Release Automation:

📊 Performance

🔒 Security

Enterprise Security Features:

📋 Enterprise Trust Documentation:

API Security Architecture

All secrets (API keys, JWT secrets, OAuth credentials) are stored in Vercel environment variables and accessed only by the backend, ensuring they're never exposed to the browser.

Key Features:

📄 License

See LICENSE file for details.

🤝 Contributing

Contributions are welcome! Please read our Contributing Guidelines and Code of Conduct before submitting a Pull Request.

Quick Links:

🙏 Acknowledgments

📞 Support & Documentation

Production & Operations

Security Operations

Development & Deployment

Compliance & Governance

API & Integration

📋 Compliance & Governance

ARES supports enterprise compliance requirements:

Enterprise Features:

Documentation:

Built with ❤️ for the AI Security Community

ARES Dashboard v1.0.0 - Production Hardening & Enterprise Release

Production-Ready Features:

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