NIOP Security Platform

Implements NIST 800-207 Zero Trust principles: no implicit trust is granted to any request regardless of network location. Every access request undergoes continuous validation via JWT token inspection, device fingerprinting, behavioral scoring, and least-privilege enforcement. Network microsegmentation ensures lateral movement is impossible even after perimeter compromise.

All data at rest and in transit is protected with AES-256-GCM symmetric encryption and RSA-4096 asymmetric keys. TLS 1.3 is enforced for all connections with PFS via ECDHE. The platform is actively migrating to NIST-standardized post-quantum algorithms: CRYSTALS-Kyber for key encapsulation and CRYSTALS-Dilithium for digital signatures, ensuring "harvest now, decrypt later" attacks yield nothing.

Authentication requires multiple independent verification factors. TOTP (RFC 6238) provides time-based one-time passwords with 30-second windows. FIDO2/WebAuthn enables phishing-resistant hardware security key authentication. Biometric factors (fingerprint, face) bind authentication to physical presence. An AI adaptive MFA engine escalates requirements when behavioral risk scores are elevated.

Full OWASP Top 10 mitigations are implemented at the application layer: contextual output encoding prevents XSS; CSRF double-submit cookies and SameSite flags block cross-site request forgery; parameterized queries and ORM usage eliminate SQL injection; all inputs are validated and sanitized server-side. Rate limiting (100 req/min per IP), account lockout after 5 failed attempts, and security headers (CSP, X-Frame-Options, HSTS) complete the application hardening posture.

A Web Application Firewall (ModSecurity with OWASP Core Rule Set) inspects and filters all inbound HTTP traffic. OSSEC-based intrusion detection monitors system logs and network flows for anomalies and known attack signatures. TLS 1.3 is the only accepted protocol — TLS 1.0, 1.1, 1.2 are disabled. HSTS preload ensures browsers enforce HTTPS for 2 years minimum. IP reputation scoring blocks known malicious ranges in real time.

Production containers use Alpine Linux or Google Distroless base images to minimize attack surface. All processes run as non-root USER 1000 with read-only filesystems. No privileged container flags are permitted. Capabilities are dropped to the minimum required set. Trivy performs automated vulnerability scanning of all images in CI. Software Bill of Materials (SBOM) is generated for every build. Cosign signs all container images with provenance attestation. Falco monitors runtime syscall behavior for policy violations.

All database storage volumes are encrypted with LUKS (Linux Unified Key Setup). Sensitive fields use Fernet symmetric field-level encryption so even direct database access reveals no plaintext PII. All client connections require TLS with certificate verification. PostgreSQL row-level security policies enforce tenant isolation at the query level. Audit logging captures every read and write operation with user identity, timestamp, and IP.

A continuously trained ML pipeline analyzes login timing patterns, IP address reputation and geographic context, user-agent fingerprint consistency, inter-request timing, and activity sequence entropy to assign real-time risk scores (0–100). Requests scoring above 80 are automatically blocked; those between 50–80 trigger step-up authentication. A distributed honeypot network of fake admin pages, decoy accounts, trap URLs, and canary tokens silently identifies infiltrators and automated scanners.

Data is classified into 5 sensitivity levels (Public, Internal, Confidential, Restricted, Top Secret) with corresponding handling procedures. Field-level encryption ensures the minimum viable data set is ever decrypted. Immutable audit trails log all privilege escalations and sensitive data access. Secrets are managed via HashiCorp Vault with dynamic credentials that expire automatically. Infrastructure access requires just-in-time provisioning with mandatory peer approval.

All outbound email is authenticated with SPF, DKIM, and DMARC (p=reject) to prevent domain spoofing. Inbound links are scanned against threat intelligence feeds before delivery. Users receive continuous security awareness training with simulated phishing exercises. An AI-driven email analysis engine flags suspicious attachment patterns, domain lookalikes, and urgency language indicative of social engineering. All inter-team communications occur over encrypted, identity-verified channels.