لكل مهتم بالأمن السيبراني وأختبار الاختراق
هنا دليل وكنز ومختصر حقيقي!
تجمع لك خريطة الطريق كاملة في مكان واحد:
- أهم ثغرات الويب (OWASP).
- طرق فحص السيرفرات والمنافذ المفتوحة.
- خطوات تصعيد الصلاحيات واختراق الشبكات.
مرجع سريع وجاهز لطلاب شهادة OSCP
ومختبري الأختراق عشان يراجعون خطواتهم وأوامرهم بلمحة واحدة!
https://t.co/OQaUXCj1iX
#الامن_السيبراني #Cybersecurity #Pentesting
The Book of Secret Knowledge: A Curated Goldmine for Cybersecurity, DevOps & Linux Professionals
🔥 One of the best free knowledge repositories for tech professionals.
Packed with tools, cheat sheets, blogs, tutorials, one-liners, security resources, and learning materials for Linux, networking, DevOps, and cybersecurity.
🔗 https://t.co/S1fjZzUqaB
#CyberSecurity #Linux #DevOps #Pentest #Networking #OpenSource
We’ve shipped a security-guidance plugin for Claude Code that helps identify and fix vulnerabilities as you’re writing code.
Available for all Claude Code users. Install from the plugin marketplace (/plugins).
Claude code’s /security-review is just a Skill, and the whole prompt is in this repo
It’s p generic and imo you can tailor it to each repo to language you’re scanning to get better results
https://t.co/1a4puZSASL
📝 Beginners Guide: Networking Basics for Pentesters
Part 1: https://t.co/VOsrhZQluB
Part 2: https://t.co/ZtWooLpZ0f
Part 3: https://t.co/6ZeeOeXT94
#networking#infosec
“design a RAG pipeline for 10M docs with zero hallucination”
apparently this was asked in a Google L5 interview round. came across it somewhere on the internet and honestly it’s a way more interesting system design problem than most classic distributed systems questions
1. ingest + normalize docs
- remove duplicates, standardize formats, extract metadata, maintain version history
2. hybrid retrieval (BM25 + embeddings)
- BM25 handles exact keyword matching while embeddings capture semantic meaning
- semantic search alone usually struggles with precision at massive scale
3. ANN retrieval + reranking
- ANN (Approximate nearest neighbor ) quickly pulls top candidate chunks from millions of docs
- then a reranker rescoring step improves relevance by deeply comparing query vs retrieved chunks
4. source confidence scoring
- every retrieved chunk gets scored based on freshness, trust level, overlap and retrieval consistency
- low-confidence context should never heavily influence generation
5. constrained generation
- the model is only allowed to answer using retrieved context (nothing new to be invented outside of the retrieved context)
6. citation-backed responses
- every major claim links back to exact chunks, documents or timestamps
7. hallucination fallback layer
- if retrieval confidence drops below a threshold: “insufficient evidence found”
8. continuous evals
- run adversarial queries, retrieval recall benchmarks and hallucination tests continuously
9. caching + memory layer
- cache high-frequency enterprise queries and retrieval paths (improves latency and output)
10. observability everywhere
- trace retrieval paths, chunk rankings, token attribution and failure points
Also at 10M docs, retrieval quality matters more than the frontier model itself.
🚀 ALL FREE CERTIFICATION RESOURCES
Level up your skills for FREE 👇
☁️ AWS
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🔐 CISSP
https://t.co/VuNIDrmo2u
🛡️ CISA
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📊 CISM
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⚡ CRISC
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Your AI outputs look messy because you built prompts
not a system
Claude Code becomes insanely powerful when you structure it like an actual AI operating system
That’s the unlock most builders miss
Here’s the framework:
→ CLAUDE.md
The central brain
Store architecture rules, workflows, conventions, project memory, coding standards, deployment instructions, and context Claude should never forget
→ Skills
Turn repeated workflows into reusable capabilities
Instead of rewriting prompts for debugging, refactoring, writing APIs, reviewing code, or shipping features…
you create modular skills Claude can invoke instantly
→ Hooks
Automate quality control
Run linting
Block dangerous actions
Trigger validations
Enforce standards
Send notifications
Auto-review outputs
without manually checking everything yourself
→ Subagents
Build specialized AI workers
One researches
One writes
One reviews
One tests
One ships
Now Claude stops acting like a single assistant
and starts operating like a coordinated engineering team
→ Plugins + MCP Servers
Connect your entire stack
GitHub
Databases
APIs
Internal tools
Automation systems
This is where autonomous workflows actually begin
Because now your workflow becomes:
Plan → Delegate → Execute → Validate → Improve
The result?
• cleaner repositories
• persistent AI memory
• reusable workflows
• faster execution
• less context loss
• dramatically higher output quality
Claude Code is not just a coding tool
It’s infrastructure for building scalable AI systems
NSA is releasing security design considerations for AI-driven automation leveraging MCP which, while simplifying the integration of diverse capabilities into powerful agent workflows, requires caution. Learn more: https://t.co/zn2DyUz5be
Google CEO tries to tell University students to love AI.
They tell him to BOO off.
This is what most people think of the hated AI, we don't want it.
Watch it and bookmark it now.
BREAKING: We just gave Claude access to the entire options and stock market.
It's the Unusual Whales MCP Server. It plugs directly into any AI assistant and gives it live, structured data on demand.
Build a trading bot. Build a finance dashboard. Build whatever you want.
AI Agent Governance Toolkit - by Microsoft
Runtime governance for AI agents through deterministic policy enforcement, zero-trust identity, execution sandboxing, and SRE for autonomous agents. Covers all 10 OWASP Agentic risks with 13,000+ tests.
https://t.co/sONejSjsrX
Microsoft Senior AI developer just showed how they build AI agents with Claude at Microsoft.
34-minutes. free. By Microsoft team
Opus 4.7 + 1,400+ pre-built MCP tools
plug Claude into agent → give it tools → ship to production
worth more than any $500 vibe-coding course.
A Claude Code skill bundle for bug hunting and external red-team work - 51 skills, 15 slash commands, 574+ disclosed-report patterns curated across 24 vulnerability classes, plus enterprise identity + infrastructure attack matrices. https://t.co/MpxsmCqaM3