Zero Trust AI

Overview

1. Traditional perimeter security has collapsed. ByteSentinel's Zero Trust AI architecture treats every access request as untrusted, evaluating identity, device health, location, behaviour, and data sensitivity in real time to make dynamic access decisions — with no implicit trust for any entity.
2. Our AI risk engine continuously computes per-session trust scores using signals from identity providers, device posture agents, UEBA platforms, and network telemetry. Access policies adapt in real time — stepping up authentication or restricting access when risk elevates, without disrupting legitimate workflows.
3. Micro-segmentation powered by ML policy generators automatically discovers application dependencies and builds least-privilege network policies across cloud, hybrid, and on-premises environments — eliminating the flat networks attackers rely on for lateral movement.
4. Adaptive MFA enforcement triggers step-up authentication based on contextual risk signals — geolocation anomalies, unusual access times, new devices, or sensitive resource access — balancing security with user experience.
5. Continuous compliance monitoring maps every access decision to regulatory requirements (NIST SP 800-207, ISO 27001, HIPAA, PCI-DSS), generating real-time audit trails and evidence for certification and board reporting.

Services Include

• Zero Trust Architecture Design & Roadmap (NIST SP 800-207)
• AI Risk Scoring Engine Deployment & Tuning
• Identity-Centric Access Control (SSO, MFA, PAM)
• Device Posture & Health Verification
• Micro-Segmentation Policy Design & Implementation
• ML-Powered Least-Privilege Policy Generation
• Adaptive & Step-Up MFA Integration
• User & Entity Behaviour Analytics (UEBA) for Trust Decisions
• Continuous Compliance Monitoring (PCI-DSS, HIPAA, ISO 27001)
• Zero Trust Maturity Assessment & Gap Analysis