Muhammad Rifat Qolby Almusawa@zerghirsaw
1
Events attended
1
Submissions made
Indonesia
1 year of experience
About me
I am a visionary Cybersecurity System Architect who redefined AI protection by developing ASO-AD, a universal neural proxy that prioritizes architectural efficiency over raw computational power. Operating under severe resource constraints without the luxury of cloud GPUs, I demonstrated a true "Hacker Spirit" by replacing heavy, cost-intensive neural layers with a high-velocity, deterministic scoring engine optimized for AMD ROCm infrastructure. Beyond mere software development, his work introduces a proactive defense philosophy, utilizing Logit Poisoning and intentional disruption to sabotage model distillation attempts, proving that high-impact innovation in AI security is driven by strategic intent and lean engineering rather than just massive hardware investment.
🤓 Latest Submissions
Active Shielding Overlay - Anti-Distillation
In the rapidly evolving AI landscape, model distillation—where competitors "harvest" proprietary model logic and weights through strategic querying—has become a critical threat to R&D investment. ASO-AD (Active Shielding Overlay - Anti-Distillation) is a specialized security infrastructure designed to neutralize this threat. Unlike traditional filters, ASO-AD acts as an "Ironclad Middleware Proxy" that stands between any AI model (Ollama, OpenAI, or Custom API) and the end-user to ensure the integrity of the neural brain. Core Technology: Deterministic Intent Decryption ASO-AD abandons slow, LLM-based security auditors that add hundreds of milliseconds of latency. Instead, we utilize a high-speed Deterministic Scoring Accumulation engine. By applying Sigmoid-smoothed algorithmic analysis, ASO-AD can decrypt malicious intent behind prompts in sub-millisecond speeds. This allows for real-time protection capable of handling enterprise-grade traffic of 10,000+ requests per second without impacting user experience. Adversarial Defense: AD-Shield & Logit Poisoning When a distillation attempt is detected, ASO-AD doesn't just block the request; it engages AD-Shield. This feature performs "Logit Poisoning," where the system perturbs the output entropy. The attacker receives high-entropy "noise" instead of the model’s true logic. This effectively sabotages the training of any "student" model trying to replicate your proprietary AI, rendering the stolen data useless. Universal Neural Bridge ASO-AD is built for interoperability. Through its Universal Neural Bridge, developers can secure any local node (like Ollama) or cloud provider (OpenAI, Claude) with a single-click proxy connection. Coupled with a Dynamic Rules Manager, security teams can hot-reload threat signatures and manage "Safe Contexts" in real-time through a tactical CLI or a specialized dashboard, ensuring defense against zero-day prompt injection and extraction techniques.
10 May 2026
