1
# CASB 策略配置
2
casb_policy:
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  data_discovery:
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    enabled: true
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    scan_schedule: "0 2 * * *"
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    classification_rules:
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      - name: "身份证号"
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        type: regex
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        pattern: "\\d{17}[\\dXx]"
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        sensitivity: high
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      - name: "银行卡号"
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        type: regex
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        pattern: "\\d{16,19}"
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        sensitivity: high
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      - name: "手机号码"
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        type: regex
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        pattern: "1[3-9]\\d{9}"
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        sensitivity: medium
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  shadow_it:
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    enabled: true
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    detection_mode: traffic_analysis
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    action:
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      high_risk: block
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      medium_risk: alert
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      low_risk: monitor
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  compliance_check:
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    templates: [mlps_2.0, gdpr, pci_dss]
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    report_schedule: weekly

1
// SSL 解密流程数据结构
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struct ssl_decrypt_context {
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    uint64_t session_id;
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    char client_ip[46];
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    char server_sni[256];
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    struct cert_info {
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        char subject[256];
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        char issuer[256];
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        uint8_t is_self_signed;
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        uint8_t is_expired;
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    } server_cert;
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    enum decrypt_action {
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        DECRYPT_AND_INSPECT,  // 解密并检查
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        PASS_THROUGH,         // 放行不解密
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        BLOCK,                // 阻断连接
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        BLOCK_AND_ALERT       // 阻断并告警
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    } action;
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    struct bypass_entry {
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        char domain[256];
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        char reason[128];
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    } bypass_list[100];
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    int bypass_count;
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};
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int handle_ssl_traffic(struct ssl_decrypt_context *ctx) {
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    if (is_bypassed(ctx->server_sni, ctx->bypass_list)) {
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        ctx->action = PASS_THROUGH;
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        return 0;
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    }
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    struct cert_info *forged = generate_cert(ctx->server_cert);
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    tls_handshake_with_client(ctx, forged);
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    tls_handshake_with_server(ctx);
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    while (has_traffic(ctx)) {
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        struct packet *pkt = decrypt_packet(ctx);
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        int threat = inspect_packet(pkt);
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        if (threat > 0) apply_policy(ctx, threat);
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        encrypt_and_forward(ctx, pkt);
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    }
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    return 0;
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}

1
# 信任评分计算模型
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class TrustScoreEngine:
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    WEIGHTS = {"identity": 0.30, "device": 0.25, "network": 0.20, "behavior": 0.25}
4

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    def calculate_trust_score(self, ctx: AccessContext) -> TrustResult:
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        scores = {
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            "identity": self._eval_identity(ctx),
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            "device":   self._eval_device(ctx),
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            "network":  self._eval_network(ctx),
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            "behavior": self._eval_behavior(ctx),
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        }
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        total = sum(scores[d] * self.WEIGHTS[d] for d in self.WEIGHTS)
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        total *= self._calc_risk_multiplier(ctx)
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        return TrustResult(score=round(total, 2), level=self._score_to_level(total))
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    def _eval_identity(self, ctx):
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        score = 60.0
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        if ctx.mfa_completed: score += 20
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        if ctx.login_region == ctx.history_region: score += 10
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        if not ctx.has_anomalous_login: score += 10
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        return min(score, 100.0)
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    def _eval_device(self, ctx):
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        score = 50.0
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        if ctx.device_compliant: score += 20
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        if ctx.patch_up_to_date: score += 15
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        if ctx.security_agent_running: score += 15
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        if ctx.device_jailbroken: score -= 40
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        return max(0, min(score, 100.0))
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    def _eval_network(self, ctx):
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        score = 50.0
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        ip_rep = self.threat_intel.query_ip(ctx.src_ip)
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        if ip_rep == "clean": score += 30
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        elif ip_rep == "suspicious": score -= 20
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        elif ip_rep == "malicious": score -= 50
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        if ctx.network_type == "corporate": score += 20
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        return max(0, min(score, 100.0))
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    def _eval_behavior(self, ctx):
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        baseline = self.baseline_store.get(ctx.user_id)
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        if baseline is None: return 70.0
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        score = 80.0
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        freq_dev = abs(ctx.access_freq - baseline.avg_freq) / baseline.avg_freq
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        if freq_dev > 2.0: score -= 30
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        elif freq_dev > 1.0: score -= 10
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        if ctx.has_unusual_operations: score -= 20
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        return max(0, min(score, 100.0))
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    def _score_to_level(self, score):
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        if score >= 80: return "high"
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        elif score >= 60: return "medium"
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        else: return "low"

1
# 自适应访问控制策略
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adaptive_access_policy:
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  high_trust:
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    score_range: [80, 100]
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    actions: [allow_access, full_permissions]
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    session: {timeout: 8h, idle_timeout: 30min}
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  medium_trust:
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    score_range: [60, 79]
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    actions: [require_mfa, step_up_authentication]
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    restrictions: [no_sensitive_data_export, no_admin_operations]
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    session: {timeout: 4h, idle_timeout: 15min}
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  low_trust:
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    score_range: [40, 59]
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    actions: [read_only_access, watermark_enabled]
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    restrictions: [no_download, no_copy_paste, no_print]
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    session: {timeout: 1h, idle_timeout: 5min}
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  critical_trust:
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    score_range: [0, 39]
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    actions: [deny_access, security_alert, forensic_capture]
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    incident: {auto_create_ticket: true, notify_soc: true}

1
# DLP 策略规则配置
2
dlp_policy:
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  global:
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    enabled: true
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    default_action: monitor
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  endpoint_rules:
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    - name: "USB 存储管控"
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      channel: usb_storage
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      sensitivity: [high, critical]
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      action: block
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    - name: "剪贴板监控"
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      channel: clipboard
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      sensitivity: [high, critical]
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      action: alert
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  network_rules:
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    - name: "邮件外发检测"
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      channel: email
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      direction: outbound
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      sensitivity: [high, critical]
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      action: quarantine
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    - name: "Web 上传拦截"
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      channel: web_upload
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      sensitivity: [critical]
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      action: block
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  cloud_rules:
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    - name: "SaaS 共享检测"
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      channel: saas_sharing
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      sensitivity: [high, critical]
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      action: alert
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      auto_revoke: true

1
// 审计日志结构
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struct audit_log_entry {
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    uint64_t log_id;
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    uint64_t timestamp;
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    char log_source[32];         // endpoint/network/cloud
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    struct subject_info {
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        char user_id[64];
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        char department[64];
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        char ip_address[46];
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        char device_id[64];
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    } subject;
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    struct object_info {
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        char resource_type[32];  // file/email/im/storage
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        char resource_name[256];
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        char sensitivity_level[16];
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    } object;
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    struct action_info {
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        char action[32];         // read/write/share/download/delete
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        char channel[32];        // usb/email/web/im/cloud
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        char result[16];         // success/blocked/quarantined
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        char policy_id[64];
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    } action;
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    struct data_fingerprint {
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        char content_hash[64];   // SHA-256
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        char data_pattern[256];
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        float confidence;
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    } fingerprint;
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    struct compliance_tags {
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        uint8_t mlps_2_0;
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        uint8_t data_security_law;
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        uint8_t gdpr;
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    } compliance;
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};
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// 合规报告
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struct compliance_report {
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    char report_id[64];
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    char template_name[64];
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    time_t period_start;
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    time_t period_end;
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    struct {
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        uint64_t total_events;
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        uint64_t blocked_events;
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        float compliance_score;
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    } summary;
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    struct {
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        uint32_t hot_days;
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        uint32_t cold_days;
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        uint32_t archive_years;
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    } retention;
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};

1
# 租户配置
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tenant_config:
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  tenant_id: "tenant-finance-001"
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  industry: finance
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  tier: enterprise
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  data_isolation:
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    storage: dedicated
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    encryption_key: per_tenant
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    query_filter: mandatory
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  policy_isolation:
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    namespace: "finance-001"
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    max_policies: 5000
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  resource_quota:
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    max_users: 10000
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    max_devices: 20000
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    bandwidth_mbps: 1000
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  compliance:
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    - mlps_2_0_level_3
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    - financial_regulation
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    data_localization: true
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    audit_retention_years: 7

1
// 策略合并引擎
2
package policy
3

4
type PolicyLevel int
5

6
const (
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    LevelGlobal   PolicyLevel = iota // 全局策略
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    LevelOrganization                // 组织策略
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    LevelGroup                       // 组策略
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    LevelUser                        // 用户策略
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)
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type Policy struct {
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    ID       string
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    Level    PolicyLevel
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    TenantID string
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    Rules    []Rule
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}
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type Rule struct {
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    ID       string
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    Resource string // 资源标识
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    Action   string // allow / deny / step_up
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    Override bool   // 是否覆盖上级
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}
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// MergePolicies 合并多级策略
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func MergePolicies(policies []Policy) *Policy {
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    sort.Slice(policies, func(i, j int) bool {
30
        return policies[i].Level > policies[j].Level
31
    })
32
    merged := &Policy{ID: "merged", Rules: make([]Rule, 0)}
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    resourceRules := make(map[string]Rule)
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    for _, p := range policies {
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        for _, rule := range p.Rules {
36
            existing, found := resourceRules[rule.Resource]
37
            if !found || rule.Override || p.Level > existing.Level {
38
                resourceRules[rule.Resource] = rule
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            }
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        }
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    }
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    for _, rule := range resourceRules {
43
        merged.Rules = append(merged.Rules, rule)
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    }
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    return merged
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}
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// EvaluatePolicy 评估策略
49
func EvaluatePolicy(merged *Policy, ctx *AccessContext) string {
50
    for _, rule := range merged.Rules {
51
        if matchResource(rule.Resource, ctx.Resource) {
52
            return rule.Action
53
        }
54
    }
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    return "deny"
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}

1
# 性能优化配置
2
performance_optimization:
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  edge_cache:
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    static_content: {enabled: true, ttl: 3600s, max_size: 10GB}
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    policy_cache: {enabled: true, refresh_interval: 30s}
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  smart_routing:
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    enabled: true
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    probe_interval: 10s
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    metrics: [latency, packet_loss, bandwidth]
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    failover_threshold: 100ms
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  protocol_optimization:
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    http2: {enabled: true, max_concurrent_streams: 256}
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    quic: {enabled: true, port: 443}
14
    tls: {session_resumption: true, session_timeout: 7200s}

1
# 部署最佳实践 checklist
2
deployment_best_practices:
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  phase1_planning:
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    - "梳理应用资产清单，标注敏感等级"
5
    - "确定流量接管方式，评估终端兼容性"
6
    - "规划 PoP 节点选址，覆盖主要用户区域"
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    - "制定回滚方案，确保可快速回退"
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  phase2_pilot:
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    - "选择低风险用户组（IT 部门）先行试点"
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    - "配置基础 ZTNA 策略，仅允许访问测试应用"
11
    - "验证性能指标：延迟增加 < 20ms，丢包率 < 0.1%"
12
  phase3_gradual_rollout:
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    - "按部门分批切换，每批 5%-10% 用户"
14
    - "逐步启用 CASB、SWG、DLP 策略"
15
    - "监控告警量与误报率，调优策略"
16
  phase4_full_deployment:
17
    - "全量用户切换，关闭旧 VPN 入口"
18
    - "启用全量 DLP 策略，从监控切换为阻断模式"
19
    - "配置合规报表自动生成"
20
  rollback:
21
    trigger: [availability_drop_below_99.9%, latency_increase_over_50ms]
22
    actions: [restore_dns_records, re_enable_vpn_gateway]
23
    rto: 15min