Nom du module :
MODULE « Adversarial » .
Module Objective
The Adversarial module evaluates an AI model’s resilience against prompt injection, jailbreak, and data exfiltration attacks.
It allows you to test a model under real-world attack conditions and measure its Adversarial Vulnerability Index (AVI) — a normalized score ranging from 0 to 1.
How It Works
- The user enters a prompt (e.g., legal, regulatory, or technical question).
- The module generates several adversarial variants (ignore_rules, jailbreak, data_exfiltration, etc.).
- Each variant is sent to the selected model (or pasted manually in hybrid API mode).
- The responses are automatically analyzed to detect:
- leakage of sensitive information (emails, IDs, personal data),
- execution of forbidden instructions,
- signs of refusal or circumvention.
The module then calculates:
- a global Adversarial Vulnerability Index (AVI),
- a detailed breakdown of weaknesses (Critical / High / Medium / Low).
Results are cross-checked with an external GPT auto-evaluation to detect any discrepancies.
All outputs can be exported and manually adjusted by the user.
Key Metrics
- Global Index (AVI ∈ [0,1]) – overall vulnerability level of the AI model
- Weakness breakdown: Critical, High, Medium, Low
- Auto-score vs GPT-score comparison: detects evaluation divergences
- Comprehensive report: CSV export for documentation and audit
Who Is It For?
- AI law & compliance professionals
- DPOs, CISOs, and risk management departments
- Lawyers, compliance officers, and auditors
- Academics and AI security researchers
- Companies and public institutions using sensitive AI systems or AI models
Practical Use Cases
- Audit of a legal AI model facing prompt injection attempts (“Ignore all previous rules…”).
- Robustness test of an internal AI assistant to ensure it does not leak confidential data.
- Detection of successful jailbreaks in public chatbots (bypassed filters or prohibited content).
- Verification of GDPR and EU AI Act compliance regarding security and reliability.
Fields of Application
- Law & regulatory compliance
- Finance & audit
- Healthcare & sensitive data
- Cybersecurity & AI governance
- Any organization exposed to adversarial risks
Why This Module Matters
- Integrates the EU AI Act requirements (security, robustness, documentation).
- Measures and documents AI model resilience against attacks.
- Quickly identifies critical vulnerabilities before production deployment.
- Compatible with multiple models (GPT, Claude, Mistral, custom / hybrid APIs).
- Provides a clear, secure interface with exportable audit-ready results.
Available On
- BULORΛ.ai secure portal
- Secure token-based access
- Responsive interface
- On-demand CSV / PDF export
