Cryptographic vulnerability scanners identify quantum-unsafe algorithms but leave remediation to manual engineering effort, creating a gap between detection and resolution that delays post-quantum migration. We present an automated remediation pipeline for QCrypton that closes this gap through five specialized endpoints: (1) code remediation that scans project source code, identifies quantum-vulnerable cryptographic calls, and generates algorithm-specific patches with dry-run support; (2) server configuration hardening that analyzes TLS, cipher suite, and protocol settings and applies quantum-safe fixes; (3) input sanitization with risk scoring that detects and removes injection patterns while quantifying risk reduction; (4) quantum noise remediation that maps noise reachability scan results to QEC code recommendations with per-error compensating controls; and (5) quantum configuration remediation that takes a system's cryptographic configuration, applies category-specific fixes (algorithm, transport, certificate, HNDL, payment, architecture, key management), re-scans the corrected configuration to verify resolution, and reports resolved vs. remaining findings. The pipeline processes remediation requests in under 5ms for code scanning and under 2ms for noise analysis, producing actionable fix plans with severity levels, manual override flags, and post-remediation verification metrics. ⸻ Key Contributions Five-endpoint remediation pipeline covering code, config, input, noise, and quantum configuration Closed-loop remediation with automatic re-scan verification of applied fixes Category-specific quantum remediation across 7 vulnerability categories (algorithm, transport, certificate, HNDL, payment, architecture, key management) Dry-run mode for code remediation enabling preview before modification Risk scoring for input sanitization with before/after risk quantification ⸻ Technical Highlights Endpoints: POST /remediate/code, POST /remediate/config, POST /remediate/input, POST /remediate/noise, POST /remediate/quantum Code Remediation: Scans project path → identifies quantum-vulnerable crypto calls → generates algorithm-specific patches; dry-run mode (default: true) previews without modifying files; optional algorithm and language filters Config Remediation: Analyzes server TLS, cipher suites, protocols → returns fixesApplied count, manualRequired count, and corrected configuration object Input Sanitization: Detects injection patterns → removes matches → computes risk score before/after (0-100 scale); logs at "suspicious" severity when patterns removed Noise Remediation: Integrates with noise reachability engine → maps each noise finding (source, type, severity, physicalRate, logicalRate) to specific hardware actions; outputs recommended QEC code, distance, physical qubits, overhead factor, compensating controls, and alternative codes Quantum Remediation — 7 Categories: Algorithm: Replace RSA/ECDSA/DH with ML-KEM/ML-DSA/SLH-DSA; track migratedFrom for audit Transport: Upgrade to TLS 1.3 with X25519+ML-KEM-768 hybrid key exchange Certificate: Migrate to ML-DSA lattice-based certificates; update CA infrastructure HNDL: Apply PQC encryption; cap data retention at 5 years Payment: Enable PQC tokenization (ML-KEM-768); update HSMs Architecture: Enable configuration-driven crypto-agility Key Management: Quarterly rotation, disable static keys, enable ephemeral KEX with PFS Closed-Loop Verification: After applying fixes, re-scans corrected config → marks each finding as "resolved" or "remaining" → reports resolvedCount, remainingCount, and post-remediation metrics (verdict, riskScore, pqcCoverage, quantumReadiness) Audit Events: code_remediation, config_remediation, input_sanitization, noise_remediation, quantum_remediation — each with operation-specific logged data and severity • ⁃ Performance: Code remediation < 5ms, Config < 1ms, Input < 1ms, Noise < 2ms, Quantum (with re-scan) < 3.5ms