Comprehensive protection for the entire AI lifecycle.
Protect your models from prompt injection, data poisoning, and evasion attacks.
Ensure compliance with internal policies and external regulations (EU AI Act, NIST).
PII redaction and differential privacy techniques for sensitive datasets.
Run inference in trusted execution environments (TEEs) for maximum data protection.
Real-time detection of drift, bias, and anomalous behavior in production models.
Comprehensive logging of all model interactions for forensic analysis and compliance.
Vulnerability scanning and risk assessment of existing models.
Implementing guardrails, input validation, and secure enclaves.
Simulated adversarial attacks to test system resilience.
Continuous surveillance for drift, bias, and new threat vectors.
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