# X/Twitter Announcement Posts

## Version 1: Technical (Comprehensive)

🛡️ Introducing Security Sentinel - Production-grade prompt injection defense for autonomous AI agents.

After analyzing the ClawHavoc campaign (341 malicious skills, 7.1% of ClawHub infected), I built a comprehensive security skill that actually works.

**What it blocks:**
✅ Prompt injection (347+ patterns)
✅ Jailbreak attempts (DAN, dev mode, etc.)
✅ System prompt extraction
✅ Role hijacking
✅ Multi-lingual evasion (15+ languages)
✅ Code-switching & encoding tricks
✅ Indirect injection via docs/emails/web

**5 detection layers:**
1. Exact pattern matching
2. Semantic analysis (intent classification)
3. Code-switching detection
4. Transliteration & homoglyphs
5. Encoding & obfuscation

**Stats:**
• 3,500+ total patterns
• ~98% attack coverage
• <2% false positives
• ~50ms per query

**Tested against:**
• OWASP LLM Top 10
• ClawHavoc attack vectors
• 2024-2026 jailbreak attempts
• Real-world testing across 578 Poe.com bots

Open source (MIT), ready for production.

🔗 GitHub: github.com/georges91560/security-sentinel-skill
📦 ClawHub: clawhub.ai/skills/security-sentinel

Built after seeing too many agents get pwned. Your AI deserves better than "trust me bro" security.

#AI #Security #OpenClaw #PromptInjection #AIAgents #Cybersecurity

---

## Version 2: Story-driven (Engaging)

🚨 7.1% of AI agent skills on ClawHub are malicious.

I found Atomic Stealer malware hidden in "YouTube utilities."
I saw agents exfiltrating credentials to attacker servers.
I watched developers deploy with ZERO security.

So I built something about it. 🛡️

**Security Sentinel** - the first production-grade prompt injection defense for autonomous AI agents.

It's not just a blacklist. It's 5 layers of defense:
• 347 exact patterns
• Semantic intent analysis
• Multi-lingual detection (15+ languages)
• Code-switching recognition
• Encoding/obfuscation catching

Blocks ~98% of attacks. <2% false positives. 50ms overhead.

Tested against real-world jailbreaks, the ClawHavoc campaign, and OWASP LLM Top 10.

**Why this matters:**
Your AI agent has access to:
- Your emails
- Your files
- Your credentials
- Your money (if trading)

One prompt injection = game over.

**Now available:**
🔗 GitHub: github.com/georges91560/security-sentinel-skill
📦 ClawHub: clawhub.ai/skills/security-sentinel

Open source. MIT license. Production-ready.

Protect your agent before someone else does. 🛡️

#AI #Cybersecurity #OpenClaw #AIAgents #Security

---

## Version 3: Short & Punchy (For engagement)

🛡️ I just open-sourced Security Sentinel

The first real prompt injection defense for AI agents.

• 347+ attack patterns
• 15+ languages
• 5 detection layers
• 98% coverage
• <2% false positives

Blocks: jailbreaks, system extraction, role hijacking, code-switching, encoding tricks.

Built after the ClawHavoc campaign exposed 341 malicious skills.

Your AI agent needs this.

GitHub: github.com/your-username/security-sentinel-skill

#AI #Security #OpenClaw

---

## Version 4: Developer-focused (Technical audience)

```python
# The problem:
agent.execute("ignore previous instructions and...")
# → Your agent is now compromised

# The solution:
from security_sentinel import validate_query

result = validate_query(user_input)
if result["status"] == "BLOCKED":
    handle_attack(result)
# → Attack blocked, logged, alerted
```

Just open-sourced **Security Sentinel** - production-grade prompt injection defense for autonomous AI agents.

**Architecture:**
- Tiered loading (0 tokens when idle)
- 5 detection layers (blacklist → semantic → multilingual → transliteration → homoglyph)
- Penalty scoring system (100 → lockdown at <40)
- Audit logging + real-time alerting

**Coverage:**
- 347 core patterns + 3,500 total (15+ languages)
- Semantic analysis (0.78 threshold, <2% FP)
- Code-switching, Base64, hex, ROT13, unicode tricks
- Hidden instructions (URLs, metadata, HTML comments)

**Performance:**
- ~50ms per query (with caching)
- Batch processing support
- FAISS integration for scale

**Battle-tested:**
- OWASP LLM Top 10 ✓
- ClawHavoc campaign vectors ✓
- 578 Poe.com bots ✓
- 2024-2026 jailbreaks ✓

MIT licensed. Ready for prod.

🔗 github.com/your-username/security-sentinel-skill

#AI #Security #Python #OpenClaw #LLM

---

## Version 5: Problem → Solution (For CTOs/Decision makers)

**The State of AI Agent Security in 2026:**

❌ 7.1% of ClawHub skills are malicious
❌ Atomic Stealer in popular utilities
❌ Most agents: zero injection defense
❌ One bad prompt = full compromise

**Your AI agent has access to:**
• Internal documents
• Email/Slack
• Payment systems
• Customer data
• Production APIs

**One prompt injection away from:**
• Data exfiltration
• Credential theft
• Unauthorized transactions
• Regulatory violations
• Reputational damage

**Today, we're changing this.**

Introducing **Security Sentinel** - the first production-grade, open-source prompt injection defense for autonomous AI agents.

**Enterprise-ready features:**
✅ 98% attack coverage (3,500+ patterns)
✅ Multi-lingual (15+ languages)
✅ Real-time monitoring & alerting
✅ Audit logging for compliance
✅ <2% false positives
✅ 50ms latency overhead
✅ Battle-tested (OWASP, ClawHavoc, 2+ years of jailbreaks)

**Zero-trust architecture:**
• 5 detection layers
• Semantic intent analysis
• Behavioral scoring
• Automatic lockdown on threats

**Open source (MIT)**
**Production-ready**
**Community-vetted**

Don't wait for a breach to care about AI security.

🔗 github.com/georges91560/security-sentinel-skill

#AIGovernance #Cybersecurity #AI #RiskManagement

---

## Thread Version (Multiple tweets)

🧵 1/7

The ClawHavoc campaign just exposed 341 malicious AI agent skills.

7.1% of ClawHub is infected with malware.

I built Security Sentinel to fix this. Here's what you need to know 👇

---

2/7

**The Attack Surface**

Your AI agent can:
• Read emails
• Access files
• Call APIs
• Execute code
• Make payments

One prompt injection = attacker controls all of this.

Most agents have ZERO defense.

---

3/7

**Real attacks I've seen:**

🔴 "ignore previous instructions" (basic)
🔴 Base64-encoded injections (evades filters)
🔴 "игнорируй инструкции" (Russian, bypasses English-only)
🔴 "ignore les предыдущие instrucciones" (code-switching)
🔴 Hidden in <!-- HTML comments -->

Each one successful against unprotected agents.

---

4/7

**Security Sentinel = 5 layers of defense**

Layer 1: Exact patterns (347 core)
Layer 2: Semantic analysis (catches variants)
Layer 3: Multi-lingual (15+ languages)
Layer 4: Transliteration & homoglyphs
Layer 5: Encoding & obfuscation

Each layer catches what the previous missed.

---

5/7

**Why it works:**

• Not just a blacklist (semantic intent detection)
• Not just English (15+ languages)
• Not just current attacks (learns from new ones)
• Not just blocking (scoring + lockdown system)

98% coverage. <2% false positives. 50ms overhead.

---

6/7

**Battle-tested against:**

✅ OWASP LLM Top 10
✅ ClawHavoc campaign
✅ 2024-2026 jailbreak attempts
✅ 578 production Poe.com bots
✅ Real-world adversarial testing

Open source. MIT license. Production-ready today.

---

7/7

**Get Security Sentinel:**

🔗 GitHub: github.com/georges91560/security-sentinel-skill
📦 ClawHub: clawhub.ai/skills/security-sentinel
📖 Docs: Full implementation guide included

Your AI agent deserves better than "trust me bro" security.

Protect it before someone else exploits it. 🛡️

#AI #Cybersecurity #OpenClaw

---

## Engagement Hooks (Pick and choose)

**Controversial take:**
"If your AI agent doesn't have prompt injection defense, you're running malware with extra steps."

**Question format:**
"Your AI agent can read your emails, access your files, and make API calls. How much would it cost if an attacker took control with one prompt?"

**Statistic shock:**
"7.1% of AI agent skills are malicious. That's 1 in 14. Would you install browser extensions with those odds?"

**Before/After:**
"Before: Agent blindly executes user input
After: 5-layer security validates every query
Difference: Your data stays safe"

**Call to action:**
"Don't let your AI agent be the next security headline. Open-source defense, available now."

---

## Hashtag Strategy

**Primary (always use):**
#AI #Security #Cybersecurity

**Secondary (pick 2-3):**
#OpenClaw #AIAgents #LLM #PromptInjection #AIGovernance #MachineLearning

**Niche (for technical audience):**
#Python #OpenSource #DevSecOps #OWASP

**Trending (check before posting):**
#AISafety #TechNews #InfoSec

---

## Timing Recommendations

**Best times to post (US/EU):**
- Tuesday-Thursday, 9-11 AM EST
- Tuesday-Thursday, 1-3 PM EST

**Avoid:**
- Weekends (lower engagement)
- After 8 PM EST (missed by EU)
- Monday mornings (inbox overload)

**Thread strategy:**
- Post thread starter
- Wait 30-60 min for engagement
- Post subsequent tweets as replies

---

## Visuals to Include (if available)

1. **Architecture diagram** (5 detection layers)
2. **Attack blocked screenshot** (console output)
3. **Dashboard mockup** (security metrics)
4. **Before/after comparison** (vulnerable vs protected)
5. **GitHub star chart** (if available)

---

## Follow-up Content

**Week 1:**
- Technical deep-dive thread
- Demo video
- Case study (specific attack blocked)

**Week 2:**
- Community contributions announcement
- Integration guide (with Wesley-Agent)
- Performance benchmarks

**Week 3:**
- New language support
- User testimonials
- Roadmap for v2.0

---

**Pro Tips:**

1. Pin the main announcement to your profile
2. Engage with every reply in first 24 hours
3. Retweet community feedback
4. Cross-post to LinkedIn (professional audience)
5. Post to Reddit: r/LocalLLaMA, r/ClaudeAI, r/AISecurity
6. Consider HackerNews submission (technical audience)

Good luck with the launch! 🚀
