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主动防御

克隆生产环境,让 AI 攻击它。

创建基础设施的完全副本,运行 AI 驱动的渗透测试——不影响生产环境。

每个安全工具都扫描漏洞。但没有一个让你攻击真实的克隆。Rediacc 可以。

rdc term production security-scan
Cloning production environment............... done (47s) ..
→ Snapshot: 380 GB (btrfs CoW: 2.1 GB used)
Initializing AI pentest engine................ done ..
→ Engine: OWASP ZAP + Nuclei + custom rules
Running attack simulation... ..
→ Port scan................................. 847 ports checked
→ Web application testing................... 12 endpoints
→ Authentication testing.................... 4 services
→ SQL injection probing..................... 186 queries
→ XSS detection............................. 94 vectors
→ CVE scanning.............................. 2,847 signatures
✓ ✓ Pentest complete: 7 vulnerabilities found
Destroying test clone........................ done ..

输出仅作示例,实际运行可能有更多日志。 CLI reference: rdc term

47s
Clone for testing
0
Production risk
2,847
CVE signatures scanned
问题所在

无法零风险地对生产环境做渗透测试

对生产系统进行渗透测试是危险的。它可能导致服务崩溃、数据损坏或触发误报。所以大多数团队要么跳过它,要么在不反映现实的过时预发布环境上测试。结果:漏洞数月未修补——或者直到攻击者先发现它们。

194 days IBM Cost of a Data Breach 2024
180% Verizon DBIR 2024
$4.88M IBM Cost of a Data Breach 2024
传统渗透测试
Month 1 Schedule pentest
Month 2-4 Wait for vendor
Week 1 Test staging
Week 2 Get PDF report
Reality Prod is different
使用 REDIACC
Run pentest
47s
7 vulns found
真实成本

你的漏洞暴露正在花费多少?

每多一天漏洞未修补,就多一天基础设施暴露。计算你的风险窗口。

安全风险敞口计算器

不使用 REDIACC
盲区98%
每个漏洞的暴露时间197 days
渗透测试成本$60,000
年度安全成本
$114,880
使用 REDIACC
盲区0%
每个漏洞的暴露时间14 days
渗透测试成本$0
年度安全成本
$4,800
模型:传统渗透测试约 $15K/次/约 10 台服务器。盲区 = 没有主动扫描的年度百分比。Rediacc 成本基于 $20/服务器/月的持续自动化测试。
工作原理

一条命令,零风险。

1

Clone

Create an exact btrfs snapshot of your production infrastructure in 47 seconds. Zero-copy, full fidelity.

2

Attack

Run AI-powered pentests against the clone — port scans, SQLi, XSS, CVE checks, auth probing. Real attacks, real data.

3

Fix

Get a prioritized vulnerability report. Patch before attackers find them. Destroy the clone — production never touched.

Production Live
🔒 GitLab :443
🔒 Nextcloud :443
🔒 Keycloak :8443
🔒 MariaDB :3306
btrfs CoW · 47s
Clone Under Attack
⚔️ Port scan · 847 ports
⚔️ SQLi probing · 186 queries
⚔️ XSS detection · 94 vectors
⚔️ CVE scanning · 2,847 sigs
Report · 7 found
Vulnerability Report 7 Found
CRIT: SQLi in auth endpoint
HIGH: Outdated OpenSSL
HIGH: CORS misconfiguration
MED: +3 medium, +1 low
底层技术

为什么这种方式有效

传统渗透测试针对的是在创建几天内就与生产环境偏差的预发布环境。Rediacc 创建实际生产基础设施的 btrfs 写时复制快照——相同的数据、相同的配置、相同的漏洞——并对其运行自动化攻击模拟。测试后克隆被销毁。生产环境永远不会被触及。

Staging (weeks old, config drift)
Production clone (seconds old, 100% match)
High (if testing prod) or None (but inaccurate)
Zero — clone is disposable
Sanitized / synthetic data
Real production data (isolated)
Days to weeks for staging
47 seconds via btrfs CoW
1-2x per year (manual)
Continuous (automated, on every deploy)
$15,000-$50,000 per engagement
$0 marginal (automated)
重要意义

您将获得什么

Zero production risk

Attack a disposable clone, not production. Crash it, break it, exploit it — your live infrastructure is untouched.

Real production conditions

Test against actual configs, real data, and live service versions — not a sanitized staging environment that drifted months ago.

Continuous, not annual

Run pentests on every deploy, every week, or every commit. No more waiting 6 months between manual engagements.

我们在生产克隆上运行了第一次自动化渗透测试,发现了 23 个漏洞——包括 2 个经过三次手动审计仍未发现的关键 SQL 注入向量。我们在下次合规审查之前修补了所有漏洞,现在每周而非每年运行渗透测试。
每周自动化渗透测试

在攻击者之前发现漏洞

从免费的社区版开始。60 秒内运行你的第一次渗透测试。

$ rdc audit log --limit 200
测试任何容器化工作负载
数据库、邮件服务器、CI/CD、CMS、监控、认证——只要在容器中运行,Rediacc 就能对其克隆进行渗透测试。
来源与参考
  1. IBM Security, "Cost of a Data Breach Report," July 2024. "The global average cost of a data breach reached USD 4.88 million in 2024." "The global average data breach lifecycle hit a 7-year low of 258 days (194 days to identify, 64 days to contain)." newsroom.ibm.com
  2. Verizon, "2024 Data Breach Investigations Report," May 2024. "The exploitation of vulnerabilities as an initial point of entry almost tripled from the previous year, accounting for 14% of all breaches." www.verizon.com
产品性能声明基于 Rediacc 的 btrfs 写时复制架构。计算器估算使用行业标准成本模型;实际成本因组织而异。