Decepticon — Offensive Vaccine for the AI Era

I’m building Decepticon, an open-source Autonomous Hacking Agent for red team testing.

🌐 Website
📖 Docs
💻 GitHub

Attackers will inevitably leverage AI to automate and scale cyber attacks. As this becomes reality, traditional defensive approaches will become increasingly ineffective — both in cost and in speed.

Decepticon is built on a core idea:

To defend effectively, we must continuously and autonomously attack ourselves first.

I define this approach as an “Offensive Vaccine” —
a system that proactively simulates real-world attacks to expose and eliminate weaknesses before adversaries can exploit them.

Using multi-agent systems, Decepticon plans, executes, and adapts attack chains in real time, moving toward fully autonomous red team operations.

Why this matters

• Security must shift from reactive to proactive
• AI-powered attackers require AI-powered offense
• Continuous testing must replace one-time assessments

Vision

To establish the Offensive Vaccine paradigm —
where autonomous systems continuously strengthen security by thinking and acting like real attackers.

Support the mission

Your sponsorship helps:

• Fund AI model usage and infrastructure
• Accelerate research in autonomous offensive security
• Build real-world autonomous red team capabilities

If you believe in the future of AI-driven cybersecurity, your support makes this possible.