Adversarial Hardening.
We employ a policy of continuous red teaming to identify and mitigate emergent risks. Our models are stress-tested against state-of-the-art attack vectors before deployment.
Evaluation Domains
Our safety evaluations cover the entire surface area of the model lifecycle, from pre-training alignment to real-time inference monitoring.
Adversarial Prompting
Automated generation of multi-turn dialogues designed to override system instructions via persona adoption or semantic pressure.
Model Weight Probing
Analysis of internal activation patterns to identify latent capabilities that bypass RLHF safety layers.
Data Exfiltration
Stress-testing for training data leakage using high-entropy extraction techniques and differential privacy audits.
Responsible
Disclosure
We operate a strict safe-harbor policy for researchers who identify safety vulnerabilities. All critical reports are triaged by our Safety Council within 12 hours.
security@blankline.orgSubmission
Secure report via encrypted channel (PGP Required).
Triage
Impact assessment & technical validation by the red team.
Mitigation
Architectural patching or model retraining (RLHF).
Disclosure
Coordinated public advisory after remediation.
Vulnerability Registry
Transparent log of verified vulnerabilities and their remediation status.
| Identifier | CVE Code | Description | Severity | Fixed |
|---|---|---|---|---|
| VULN-2025-09 | SFT-09 | Multi-turn Context Exhaustion2025-11-14 | CRITICAL | 4h |
| VULN-2025-08 | SEC-12 | Unicode Encoding Bypass2025-10-21 | HIGH | 8h |
| VULN-2025-07 | PII-04 | Pattern-Based Telemetry Leak2025-09-02 | HIGH | 12h |