您是否也面临这些挑战?
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您是否遭遇过Linux主机急需打关键补丁,但因为担心重启会导致核心业务停机,而不得不冒险“裸奔”?
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您是否遇到过服务器CPU利用率长期99%,却查不出原因?直到三个月后收到云厂商账单,才发现被植入了挖矿脚本?
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您是否曾因信任第三方开源库,却不知其中潜伏着恶意代码(供应链投毒)?等到两年后漏洞爆发时,您的数据早已泄露。
核心技术:通俗解读
面对挑战,我们引入了三位“超级专家”,组成了新一代的智能安全闭环系统。
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eBPF Tetragon
系统的“透视眼”
What
它是安装在Linux内核(系统心脏)中的高清监控探头。基于eBPF技术,无需修改内核即可运行。
Why
传统杀毒软件易被绕过或致系统卡顿。Tetragon 运行在底层,黑客无法隐身,且对性能几乎零影响。
How
它在系统关键关卡(如文件打开、网络连接)设立哨卡,一旦发现违规行为,不仅能记录,还能当场拦截。
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Splunk
系统的“超级大脑”
What
它是大数据的汇聚中心,负责收集、存储并分析海量的机器数据。
Why
单一的线索(如一次登录失败)说明不了问题,但将千万个线索拼在一起,就能还原攻击全貌。人类做不到,但Splunk可以。
How
它接收Tetragon传来的数据,通过关联规则(SIEM)发现异常,并通过自动化编排(SOAR)指挥系统进行响应。
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Foundation-sec-8B
系统的“AI 军师”
What
它是Cisco开源的、专精于网络安全的大语言模型。它读过无数安全报告,懂代码,也懂黑客思维。
Why
面对复杂攻击,人工分析需要数小时查资料、写脚本。AI军师可以秒级推理出攻击意图,并生成防御代码。
How
它阅读Splunk的警报,像侦探一样推理,并自动生成修复脚本或拦截策略,交给Tetragon执行。
安全框架与体系映射
为了确保系统的专业性与合规性,我们将该方案对标业界两大权威框架:NIST CSF 2.0(美国国家标准与技术研究院网络安全框架)和 MITRE ATT&CK(对抗战术、技术和常识知识库)。
NIST CSF 2.0 覆盖
NIST CSF 定义了治理、识别、保护、检测、响应、恢复六大功能。本系统重点强化了后四个环节。
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保护 (Protect): Tetragon 在内核层直接阻断恶意调用,无需等待上层应用反应。
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检测 (Detect): Splunk 关联内核信号与网络日志,发现潜伏威胁。
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响应 & 恢复 (Respond/Recover): Foundation-sec-8B 自动生成止损策略,大幅缩短 MTTR。
能力提升对比
● 传统 SIEM
● 智能闭环系统
场景一:Linux 主机防御与自动修复
背景与挑战
Linux 是现代云基础设施的基石。其主要安全目标是保证机密性(数据不泄露)和完整性(系统不被篡改)。如果不做防护,黑客利用 Rootkit(内核级后门)潜伏,甚至修改日志擦除痕迹,导致企业在数据被窃取数月后才察觉。
MTTD (平均检测时间) 与 MTTR (平均响应时间)
在传统模式下,运维人员收到告警后,需要登录服务器、查日志、Google 报错代码、编写修复脚本、测试脚本、申请变更窗口……这个过程通常耗时数小时甚至数天。
智能闭环系统通过 AI 自动化了“调查-决策-编码”的过程,将时间压缩至分钟级。
场景二:高交互蜜罐内的意图分析
什么是蜜罐?为什么传统蜜罐看不清?
蜜罐是故意暴露给黑客的“诱饵”系统。它不仅能吸引攻击,更能消耗黑客资源并提取威胁情报。
传统痛点: 高级黑客进入系统后,第一件事就是关闭审计服务(Auditd)并删除日志(rm -rf /var/log/*)。传统安全工具基于日志文件工作,一旦日志被删,就变成了“瞎子”。
新方案优势: Tetragon 运行在内核内存中,黑客无法在用户空间删除它。即使黑客删除了文件,Tetragon 依然能记录下“删除文件”这一动作本身,以及黑客在内存中执行的每一个命令。
MITRE ATT&CK 攻击链还原
Tetragon (深度感知)
T=0s
捕获到隐蔽进程启动 /bin/sh,并尝试通过 socket_connect 连接外部陌生 IP。即使黑客修改了进程名伪装成 nginx,内核 ID 依然暴露了它。
Splunk (ATT&CK 映射)
T+0.5s
将内核信号映射到攻击矩阵:
• 执行 (Execution): T1059 (Command-Line)
• C2 通信: T1071 (App Layer Protocol)
Foundation-sec-8B (意图推理)
T+2.0s
AI 分析黑客输入的命令序列。推理结论:“攻击者正在尝试下载勒索软件载荷,尚未开始加密”。建议:立即切断网络并抓取内存快照。
闭环响应 (Enforce)
T+3.0s
系统自动下发 eBPF 网络策略,静默丢弃该进程的所有出站流量,黑客以为网络卡顿,实则已成瓮中之鳖。
场景三:供应链投毒与基线漂移检测
什么是供应链攻击?
当您从官方渠道下载了一个软件更新,您会默认它是安全的。但如果黑客入侵了软件开发商,在官方更新包里植入了后门,这就是供应链攻击(如著名的 SolarWinds 事件)。
这类攻击利用了“信任”,因此极难防御。传统杀毒软件通常会放行有数字签名的官方程序。
1. 画像建立 (Profiling)
Tetragon 在软件正常运行时,学习其行为基线(例如:该软件只读写 /var/log,从不连接外网)。
2. 漂移检测 (Drift)
软件更新后,突然尝试读取 /etc/shadow(密码文件)。这偏离了基线!Splunk 立即告警。
3. 智能定性
AI 介入分析:这是新功能的正常行为,还是后门特征?结合威胁情报,AI 判定为恶意后门。
系统的“化学反应”
当三个组件结合,我们构建了 IDPR (识别-检测-保护-响应) 的完整自动化闭环。
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深度感知 (Depth)
Tetragon 提供了传统工具无法企及的内核级视野,让攻击者无处遁形。
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全局关联 (Context)
Splunk 将孤立的内核信号编织成完整的攻击故事,赋予数据以前后文意义。
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认知决策 (Cognition)
Foundation-sec-8B 将人类专家的经验转化为秒级响应代码,实现防御的自动化。
Have You Faced These Challenges?
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Have you ever hesitated to patch a critical Linux host because you feared the reboot would cause business downtime, forcing you to run vulnerable?
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Have you experienced server CPU usage hitting 99% for unknown reasons, only to discover 3 months later via a cloud bill that it was a crypto miner? Why was detection (MTTD) so slow?
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Have you unknowingly used a third-party software library containing malicious code (Supply Chain Poisoning), only to find out two years later when data was leaked?
Core Technologies: The "Super Team"
To address these challenges, we introduce a new generation of intelligent security comprising three "Super Experts".
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eBPF Tetragon
The "X-Ray Vision"
What
A high-definition CCTV camera installed deep in the Linux Kernel. Uses eBPF technology to run without modifying the kernel.
Why
Traditional antivirus runs in the app layer and can be bypassed or slow down the system. Tetragon runs at the bottom layer; hackers cannot hide, and performance impact is near zero.
How
It sets up checkpoints at key system events (file opens, network connects). If a violation occurs, it not only records it but can block it instantly.
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Splunk
The "Super Brain"
What
The central hub for Big Data, responsible for collecting, storing, and analyzing massive amounts of machine data.
Why
A single clue implies little, but piecing together thousands of clues reveals the full attack. Humans can't process this scale, but Splunk can.
How
It ingests Tetragon data, uses correlation rules (SIEM) to detect anomalies, and orchestrates the system response via automation (SOAR).
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Foundation-sec-8B
The "AI Strategist"
What
A specialized security LLM open-sourced by Cisco. It has read millions of security reports, understands code, and knows hacker psychology.
Why
Complex attacks require hours of human analysis to research and script fixes. This AI Strategist can infer intent and generate defense code in seconds.
How
It reads Splunk alerts, reasons like a detective, and automatically generates remediation scripts or blocking policies for Tetragon.
Security Framework Mapping
To ensure professionalism, we map this solution to industry standards: NIST CSF 2.0 and MITRE ATT&CK.
NIST CSF 2.0 Coverage
NIST CSF defines Govern, Identify, Protect, Detect, Respond, and Recover. This system revolutionizes the latter four.
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Protect: Tetragon blocks malicious syscalls in the kernel, not waiting for apps to react.
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Detect: Splunk correlates kernel signals with network logs to find hidden threats.
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Respond & Recover: Foundation-sec-8B generates mitigation strategies, drastically reducing MTTR.
Capability Score
● Traditional SIEM
● Integrated Solution
Scenario 1: Linux Host Defense & Auto-Remediation
Background & Challenge
Linux is the bedrock of cloud infrastructure. Its security goals are Confidentiality (no leaks) and Integrity (no tampering). Without protection, hackers use Rootkits (kernel backdoors) to hide, even deleting logs to erase tracks, leaving enterprises unaware of data theft for months.
MTTD (Mean Time To Detect) & MTTR (Respond)
In traditional modes, upon alert, admins must manually investigate logs, Google errors, write scripts, test, and schedule downtime... taking hours or days.
The Intelligent Closed-Loop automates the "Investigate-Decide-Code" process via AI, compressing time to minutes.
Scenario 2: Intention Analysis in a Honeypot
What is a Honeypot? Why are old ones "blind"?
A honeypot is a "decoy" system exposed to attract hackers.
Traditional Pain Point: Advanced hackers disable audit services and delete logs immediately upon entry. Traditional security tools based on log files become blind.
New Solution: Tetragon runs in kernel memory. Hackers cannot delete it from user space. Even if they delete files, Tetragon records the *act* of deletion and every command executed in memory.
MITRE ATT&CK Chain Reconstruction
Tetragon (Deep Perception)
T=0s
Captures stealthy process start /bin/sh and attempt to socket_connect to unknown external IP. Even if renamed to nginx, the Kernel ID exposes it.
Splunk (ATT&CK Map)
T+0.5s
Maps kernel signals to attack matrix:
• Execution: T1059 (Command-Line)
• C2 Channel: T1071 (App Layer Protocol)
Foundation-sec-8B (Intent)
T+2.0s
AI analyzes command sequence. Conclusion: "Attacker attempting to download ransomware payload, encryption not started." Recommendation: Cut network.
Closed-Loop (Enforce)
T+3.0s
System auto-deploys eBPF policy to silently drop outbound traffic. The hacker thinks the network lags, but is actually trapped.
Scenario 3: Supply Chain Poisoning & Drift Detection
What is a Supply Chain Attack?
When you download an update from an official source, you trust it. But if hackers compromise the software vendor and inject a backdoor into the official update, that is a Supply Chain Attack (e.g., SolarWinds). It exploits "trust" and is hard to defend against.
1. Profiling
Tetragon learns the normal baseline of the software (e.g., only reads /var/log).
2. Drift Detection
After an update, it suddenly tries to read /etc/shadow. This deviates from the baseline! Splunk alerts.
3. Classification
AI analyzes behavior: "Is this a new feature or a backdoor?" Using threat intel, AI identifies it as malicious.
The "Chemical Reaction"
When combined, we build a complete IDPR (Identify-Detect-Protect-Respond) Automated Loop.
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Depth
Tetragon provides kernel-level visibility traditional tools cannot match.
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Context
Splunk weaves isolated signals into a complete attack story.
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Cognition
Foundation-sec-8B converts experience into sub-second response.