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:
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Anomaly Detection:
Flag unusual user or network behavior
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Identity Access Controls:
Role-based authentication, MFA, and dynamic session policies
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Audit Logging for AI Decisions:
Every AI action, recommendation, or classification is logged, reviewable, and reversible
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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