Audit e Monitoraggio Sicurezza

Comprehensive security assessment and continuous monitoring of AI systems to identify vulnerabilities, detect attacks, and ensure robust defenses against emerging threats. We conduct penetration testing, adversarial robustness evaluation, and security architecture review. Our monitoring detects anomalous model behavior, data poisoning attempts, model stealing, and prompt injection attacks. Security measures include input validation, output filtering, rate limiting, and anomaly detection. We implement security logging, incident response procedures, and regular vulnerability scanning. Continuous monitoring tracks model performance, data integrity, and access patterns. This protects AI systems from adversarial attacks, prevents unauthorized access to sensitive models and data, ensures system integrity, and maintains stakeholder confidence in AI security posture.