AI-Integrated Cybersecurity

Trust, Auditability, and Threat Mitigation at the Core

Every system we build adheres to zero-trust principles and AI-driven threat detection frameworks.

Features:

  • Anomaly Detection:
    Flag unusual user or network behavior
  • Identity Access Controls:
    Role-based authentication, MFA, and dynamic session policies
  • Audit Logging for AI Decisions:
    Every AI action, recommendation, or classification is logged, reviewable, and reversible
  • Privacy Preserving AI:
    Techniques like federated learning, differential privacy, and encrypted inference used where required

Certifications and Practices:

ISO 27001-compliant; aligned with NIST Cybersecurity Framework