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@@ -125,27 +125,27 @@ Cybersecurity AI (CAI) is a lightweight, open-source framework that empowers sec
[](https://lu.ma/roboticshack?tk=RuryKF)
### 📊 Research Impact
-- Pioneered LLM-powered AI Security with PentestGPT, establishing the foundation for the `Cybersecurity AI` research domain [](https://arxiv.org/pdf/2308.06782)
-- Established the `Cybersecurity AI` research line with **6 papers and technical reports**, with active research collaborations [](https://arxiv.org/pdf/2504.06017) [](https://arxiv.org/abs/2506.23592) [](https://arxiv.org/abs/2508.13588) [](https://arxiv.org/abs/2508.21669) [](https://arxiv.org/abs/2509.14096) [](https://arxiv.org/abs/2509.14139)
+- Pioneered LLM-powered AI Security with PentestGPT, establishing the foundation for the `Cybersecurity AI` research domain [](https://arxiv.org/pdf/2308.06782)
+- Established the `Cybersecurity AI` research line with **6 papers and technical reports**, with active research collaborations [](https://arxiv.org/pdf/2504.06017) [](https://arxiv.org/abs/2506.23592) [](https://arxiv.org/abs/2508.13588) [](https://arxiv.org/abs/2508.21669) [](https://arxiv.org/abs/2509.14096) [](https://arxiv.org/abs/2509.14139)
-- Demonstrated **3,600× performance improvement** over human penetration testers in standardized CTF benchmark evaluations [](https://arxiv.org/pdf/2504.06017)
-- Identified **CVSS 4.3-7.5 severity vulnerabilities** in production systems through automated security assessment [](https://arxiv.org/pdf/2504.06017)
-- **Democratization of AI-empowered vulnerability research**: CAI enables both non-security domain experts and experienced researchers to conduct more efficient vulnerability discovery, expanding the security research community while empowering small and medium enterprises to conduct autonomous security assessments [](https://arxiv.org/pdf/2504.06017)
-- **Systematic evaluation of large language models** across both proprietary and open-weight architectures, revealing substantial gaps between vendor-reported capabilities and empirical cybersecurity performance metrics [](https://arxiv.org/pdf/2504.06017)
-- Established the **autonomy levels in cybersecurity** and argued about autonomy vs automation in the field [](https://arxiv.org/abs/2506.23592)
-- **Collaborative research initiatives** with international academic institutions focused on developing cybersecurity education curricula and training methodologies [](https://arxiv.org/abs/2508.13588)
-- **Contributed a comprehensive defense framework against prompt injection in AI security agents**: developed and empirically validated a multi-layered defense system that addresses the identified prompt injection issues [](https://arxiv.org/abs/2508.21669)
-- Explord the Cybersecurity of Humanoid Robots with CAI and identified new attack vectors showing how it `(a)` operates simultaneously as a covert surveillance node and `(b)` can be purposed as an active cyber operations platform [](https://arxiv.org/abs/2509.14096) [](https://arxiv.org/abs/2509.14139)
+- Demonstrated **3,600× performance improvement** over human penetration testers in standardized CTF benchmark evaluations [](https://arxiv.org/pdf/2504.06017)
+- Identified **CVSS 4.3-7.5 severity vulnerabilities** in production systems through automated security assessment [](https://arxiv.org/pdf/2504.06017)
+- **Democratization of AI-empowered vulnerability research**: CAI enables both non-security domain experts and experienced researchers to conduct more efficient vulnerability discovery, expanding the security research community while empowering small and medium enterprises to conduct autonomous security assessments [](https://arxiv.org/pdf/2504.06017)
+- **Systematic evaluation of large language models** across both proprietary and open-weight architectures, revealing substantial gaps between vendor-reported capabilities and empirical cybersecurity performance metrics [](https://arxiv.org/pdf/2504.06017)
+- Established the **autonomy levels in cybersecurity** and argued about autonomy vs automation in the field [](https://arxiv.org/abs/2506.23592)
+- **Collaborative research initiatives** with international academic institutions focused on developing cybersecurity education curricula and training methodologies [](https://arxiv.org/abs/2508.13588)
+- **Contributed a comprehensive defense framework against prompt injection in AI security agents**: developed and empirically validated a multi-layered defense system that addresses the identified prompt injection issues [](https://arxiv.org/abs/2508.21669)
+- Explord the Cybersecurity of Humanoid Robots with CAI and identified new attack vectors showing how it `(a)` operates simultaneously as a covert surveillance node and `(b)` can be purposed as an active cyber operations platform [](https://arxiv.org/abs/2509.14096) [](https://arxiv.org/abs/2509.14139)
### 📚 Research products: `Cybersecurity AI`
-| CAI, An Open, Bug Bounty-Ready Cybersecurity AI | The Dangerous Gap Between Automation and Autonomy | CAI Fluency, A Framework for Cybersecurity AI Fluency |
+| CAI, An Open, Bug Bounty-Ready Cybersecurity AI [](https://arxiv.org/pdf/2504.06017) | The Dangerous Gap Between Automation and Autonomy [](https://arxiv.org/abs/2506.23592) | CAI Fluency, A Framework for Cybersecurity AI Fluency [](https://arxiv.org/abs/2508.13588) |
|---|---|---|
| [
](https://arxiv.org/pdf/2504.06017) | [
](https://www.arxiv.org/pdf/2506.23592) | [
](https://arxiv.org/pdf/2508.13588) |
-| Hacking the AI Hackers via Prompt Injection | Humanoid Robots as Attack Vectors | The Cybersecurity of a Humanoid Robot |
+| Hacking the AI Hackers via Prompt Injection [](https://arxiv.org/abs/2508.21669) | Humanoid Robots as Attack Vectors [](https://arxiv.org/abs/2509.14139) | The Cybersecurity of a Humanoid Robot [](https://arxiv.org/abs/2509.14096) |
|---|---|---|
| [
](https://arxiv.org/pdf/2508.21669) | [
](https://arxiv.org/pdf/2509.14139) | [
](https://arxiv.org/pdf/2509.14096) |